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Study on a Wheel Electric Drive System with SRD for Loader
Xinming Xu, Yang Gu, Guangjun Liu.
March 1, 2023 (v1)
Keywords: experiment, loader, Simulation, SRD, wheel electric drive.
Loaders are widely used in the construction of earthworks for construction projects. Due to the large volume and mass of these machines, they have shortcomings such as low driving efficiency and high energy consumption. To address these shortcomings, this work applied eclectic drive technology to a loader’s traction system. A wheel electric drive system with a switched reluctance driver (SRD) was developed. The operating principle and basic structure of the SRD system were analyzed. A new voltage PWM-controlled strategy with dynamic adjustable turn-on and turn-off angles and a single conducting phase in a fixed period was developed. Then, an SRD simulation model was established in MATLAB/Simulink. A simulation of the working condition for the loader was performed. A test bench for the SRD was built and accordingly the transportation and operation conditions were tested. The corresponding speed−time curve of transportation and operation was obtained. Simulation and experiment results sh... [more]
Smart Sustainable Freight Transport for a City Multi-Floor Manufacturing Cluster: A Framework of the Energy Efficiency Monitoring of Electric Vehicle Fleet Charging
Liudmyla Davydenko, Nina Davydenko, Andrii Bosak, Alla Bosak, Agnieszka Deja, Tygran Dzhuguryan.
March 1, 2023 (v1)
Keywords: city multi-floor manufacturing cluster, electric vehicle fleet, electrical load profile, energy efficiency monitoring, smart energy management, smart sustainable city, state of charge.
This study focuses on the problem of the efficient energy management of an independent fleet of freight electric vehicles (EVs) providing service to a city multi-floor manufacturing cluster (CMFMC) within a metropolis while considering the requirements of smart sustainable electromobility and the limitations of the power system. The energy efficiency monitoring system is considered an information support tool for the management process. An object-oriented formalization of monitoring information technology is proposed which has a block structure and contains three categories of classes (information acquisition, calculation algorithms, and control procedures). An example of the implementation of the class “Operation with the electrical grid” of information technology is presented. The planning of the freight EVs charging under power limits of the charging station (CS) was carried out using a situational algorithm based on a Fuzzy expert system. The situational algorithm provides for moni... [more]
Performance Assessment of an Air-Type BIPVT Collector with Perforated Baffles through Indoor and Outdoor Experiments
Jin-Hee Kim, Ji-Suk Yu, Erin Gaucher-Loksts, Benjamin Roy, Véronique Delisle, Jun-Tae Kim.
March 1, 2023 (v1)
Keywords: air-type BIPVT (building-integrated photovoltaic with thermal recovery), electrical and thermal performance, indoor and outdoor experiments, performance assessment.
The performance of air-type PVT and BIPVT collectors has been extensively studied. As a system that generates heat and power, PVT collector testing has some particularities especially when using air as a heat recovery fluid and a building-integrated design (BIPVT). The electrical and thermal experimental performance of such collectors are currently being evaluated using in-house methods or PV and/or solar thermal collector standards. The use of a wide range of methods, testing conditions and experimental setups makes it difficult not only to compare the performance of different designs, but also to have confidence in the results obtained. This study evaluates the performance of an air-type BIPVT collector with in-channel perforated baffle plates for heat transfer enhancement designed for a building-integrated façade. As part of a joint research project between Korea and Canada, the proposed collector’s performance was evaluated through indoor (Canada) and outdoor experiments (Korea). L... [more]
Improved Operation Strategy for the High Voltage Input Stage of a Multi-Port Smart Transformer
Enrique Romero-Cadaval, Fermín Barrero-González, Eva González-Romera, María-Isabel Milanés-Montero, Carlos Roncero-Clemente.
March 1, 2023 (v1)
Keywords: energy router, multi-port transformer, smart grids, smart transformer.
Smart transformers are considered a crucial part of future smart grids as they will operate as the energy router and be able to control the power flows from and to the microgrids since they are placed in the border. A multi-port transformer can integrate different energy resources, loads and energy storage systems, optimizing the power flows between these elements. Combining both concepts, a multi-port smart transformer is obtained that is able to integrate efficiently distributed and renewable energy resources, electric vehicle chargers, prosumers and energy storage in both AC and DC microgrids. Nevertheless, the operation of these transformers, composed of several modules connected in series to the high-voltage grid is not easy, mainly due to the different power consumed or generated by each module. In this paper this issue is analyzed and different operation strategies for coordinating the series-connected modules at the input side are studied by simulation. The paper will expose ho... [more]
Numerical Simulation Study on the Flow and Heat Transfer Characteristics of Subcooled N-Heptane Flow Boiling in a Vertical Pipe under External Radiation
Jinhu Lin, Xiaohui Zhang, Xiaoyan Huang, Luyang Chen.
March 1, 2023 (v1)
Keywords: DNB, non-equilibrium effect, numerical simulation, pressure drop, RPI, subcooled flow boiling.
In the top submerged lance (TSL) smelting process, flow boiling may occur in the lance’s inner pipe due to the heat coming from the furnace when liquid fuel is adopted. In the current study, a numerical simulation was carried out by coupling the Eulerian two-fluid model with the improved RPI wall boiling model to investigate the subcooled n-heptane flow boiling in the inner pipe. The effects of inlet velocity and pipe wall emissivity on two-phase flow and heat transfer are elucidated. The results show that, for pipes with inlet velocity ranging from 0.3 m·s−1 to 1.0 m·s−1, an increase in inlet velocity leads to a lower void fraction near the outlet, as well as a lower average velocity and a lower average temperature of each phase. Meanwhile, the Onset of Nucleate Boiling (ONB) position approaches to the outlet, and the total pressure drop of the entire pipe reduces when the inlet velocity increases. However, the opposite trends appear when increasing the pipe wall emissivity. The maxim... [more]
BTEX Emissions in the Logistics of Middle Distillates: Diesel Oil
Wojciech Krasodomski, Zygmunt Burnus.
March 1, 2023 (v1)
Keywords: air pollution, BTEX emission, diesel oil.
Besides technological processes; logistics; and the use of petrol and light solvents, which are widely known as pollutants, the sources of BTEX hydrocarbon contributing to air pollution may also include other petroleum products and fuels that feature higher boiling points and that have not yet been associated with this issue. In this study, the contents of benzene; toluene; ethylbenzene; and o-, m-, and p-xylene were evaluated in 25 commercial samples of diesel oils; the gaseous phase in thermodynamic equilibrium with liquid diesel oil at 40 °C was then evaluated. Based on the experimental results, it was found that benzene concentration in the gaseous phase is five to more than fifteen times higher than the limits set by regulations for benzene concentration in the air at a work place (1.6 mg/m3) and cannot be compared with the limits set by regulations for annual average basal levels of benzene concentration in the air (5 µg/m3). The research revealed that diesel oil is a potential s... [more]
Data Reduction and Reconstruction of Wind Turbine Wake Employing Data Driven Approaches
Martin Geibel, Galih Bangga.
March 1, 2023 (v1)
Keywords: aerodynamics, Bi-LSTM, Computational Fluid Dynamics, data driven, Machine Learning, POD, wake, wind turbine.
Data driven approaches are utilized for optimal sensor placement as well as for velocity prediction of wind turbine wakes. In this work, several methods are investigated for suitability in the clustering analysis and for predicting the time history of the flow field. The studies start by applying a proper orthogonal decomposition (POD) technique to extract the dynamics of the flow. This is followed by evaluations of different hyperparameters of the clustering and machine learning algorithms as well as their impacts on the prediction accuracy. Two test cases are considered: (1) the wake of a cylinder and (2) the wake of a rotating wind turbine rotor exposed to complex flow conditions. The training and test data for both cases are obtained from high fidelity CFD approaches. The studies reveal that the combination of a classification-based machine learning algorithm for optimal sensor placement and Bi-LSTM is sufficient for predicting periodic signals, but a more advanced technique is req... [more]
A Robust Kalman Filter-Based Approach for SoC Estimation of Lithium-Ion Batteries in Smart Homes
Omid Rezaei, Reza Habibifar, Zhanle Wang.
March 1, 2023 (v1)
Keywords: lithium-ion battery, robust Kalman filter, smart home, SoC estimation.
Battery energy systems are playing significant roles in smart homes, e.g., absorbing the uncertainty of solar energy from root-top photovoltaic, supplying energy during a power outage, and responding to dynamic electricity prices. For the safe and economic operation of batteries, an optimal battery-management system (BMS) is required. One of the most important features of a BMS is state-of-charge (SoC) estimation. This article presents a robust central-difference Kalman filter (CDKF) method for the SoC estimation of on-site lithium-ion batteries in smart homes. The state-space equations of the battery are derived based on the equivalent circuit model. The battery model includes two RC subnetworks to represent the fast and slow transient responses of the terminal voltage. Moreover, the model includes the nonlinear relationship between the open-circuit voltage (OCV) and SoC. The proposed robust CDKF method can accurately estimate the SoC in the presence of the time-varying model uncertai... [more]
A Panel Data Approach towards the Effectiveness of Energy Policies in Fostering the Implementation of Solar Photovoltaic Technology: Empirical Evidence for Asia-Pacific
Farah Roslan, Ștefan Cristian Gherghina, Jumadil Saputra, Mário Nuno Mata, Farah Diana Mohmad Zali, José Moleiro Martins.
March 1, 2023 (v1)
Subject: Energy Policy
Keywords: Asia-Pacific, policy effectiveness, Renewable and Sustainable Energy, Solar Photovoltaic.
Today, the growing Asia-Pacific population causes a dramatic growth in energy supply to meet energy demand. The rapid rise in energy demand is causing concern in the region. Thus, the present study scrutinizes the effect of energy policy involvement in steering-up renewable energy development by empirically assessing the role of policy instruments in encouraging residential-scale and commercial-scale photovoltaic (PV) systems. The analysis is performed using a fixed effects estimator on a selected range of policy approaches (market-pull policies and tax incentives) and a technology-push policy (capital grants) in selected Asia-Pacific countries between 1998 and 2015. The return on investment is estimated to measure the incentives of feed-in tariff (FIT) tariff policies for both residential-scale and commercial-scale PV systems. This study has shown the importance of a strategic combination between technology-push and market-pull policies as complementary to adopting technology and incr... [more]
Choice of the Arch Yielding Support for the Preparatory Roadway Located near the Fault
Krzysztof Skrzypkowski, Krzysztof Zagórski, Anna Zagórska, Derek B. Apel, Jun Wang, Huawei Xu, Lijie Guo.
March 1, 2023 (v1)
Keywords: arch yielding support, fault, minimal section method, RS3.
The article presents a method of selecting an arch yielding support for preparatory workings driven in a hard coal seam. Particular attention was paid to discontinuous deformation in the form of a fault, which significantly contributes to the change of the excavation protection schemes. On the basis of the geometry of the machines and devices in the designed excavation, the support was selected, which was then checked for the ventilation criterion. In the next stage, analytical calculations were carried out using the determined spacing of the steel support in the fault zone and the area outside of it. Additionally, using the RS3 numerical software based on the finite element method, a rock mass model with a fault was built, through which the preparatory excavation passes. The aim of the research was to determine the total displacements occurring in the fault crossing zone for the excavation without support and with the use of steel arch yielding and with additional reinforcement in the... [more]
SiC and FeCrAl as Potential Cladding Materials for APR-1400 Neutronic Analysis
Mohammad Alrwashdeh, Saeed A. Alameri.
March 1, 2023 (v1)
Subject: Materials
Keywords: cladding, FeCrAl, light water reactor, nuclear fuel, SiC.
The aim of this study is to investigate the potential improvement of accident-tolerant fuels in pressurized water reactors for replacing existing reference zircaloy (Zr) fuel-cladding systems. Three main strategies for improving accident-tolerant fuels are investigated: enhancement of the present state-of-the-art zirconium fuel-cladding system to improve oxidation resistance, replacement of the current referenced fuel-cladding system material with an alternative high-performance oxidation-resistant cladding, and replacement of the current fuel with alternative fuel forms. This study focuses on a preliminary analysis of the neutronic behavior and properties of silicon carbide (SiC)-fuel and FeCrAl cladding systems, which provide a better safety margin as accident-tolerant fuel systems for pressurized water reactors. The typical physical behavior of both cladding systems is investigated to determine their general neutronic performance. The multiplication factor, thermal neutron flux spec... [more]
The Impact of the Income Gap on Carbon Emissions: Evidence from China
Congjia Huo, Lingming Chen.
March 1, 2023 (v1)
Subject: Energy Policy
Keywords: carbon emissions, carbon neutrality, economic growth, income gap.
The income gap and global warming have always been topics of common concern to scholars worldwide. Internationally, there is no consensus yet about the impact of the income gap on carbon emissions, and there are few studies about that in China. To explore the effect of the income gap on carbon emissions at the provincial level in China, this paper first theoretically and qualitatively analyzes the non-linear impact of the income gap on carbon emissions. Then, the Gini coefficient of the resident income of different regions in China from 2010 to 2019 is calculated. Finally, a threshold regression model is used to quantitatively test the existence of a threshold effect between the income gap and carbon emission intensity in China. The threshold value is the per capita disposable income of residents. The results show that the income gap is positively related to carbon emission intensity in poor regions. In high-income areas, the widening income gap inhibits the increase in carbon emission... [more]
Dynamic Response Analysis of Dual-Flow Channel Pump Station Structure under Water Pressure Pulsation
Chengcheng Hou, Li Cheng, Weifeng Pan, Songbai Li, Weixuan Jiao.
March 1, 2023 (v1)
Keywords: different working conditions, dual-flow channel pump station, dynamic response, harmonic response, water pressure pulsation.
The RNG k-ε model turbulence model is used to carry out a CFD numerical simulation of the dual-flow channel pumping station. Through the model test, the accuracy of the numerical simulation of the dual-flow channel pump device is verified. Using the harmonic response analysis method, the water pressure fluctuating load calculated under different startup conditions under the design water level is applied to the pumping station. In this way, the dynamic response law of the pump station structure under the action of water pressure pulsation is studied. The calculation results show that the values of pressure pulsation in the drainage condition and the water diversion condition are relatively close, and the main difference is the difference in the water levels of the inlet and outlet water. Under different working conditions, the amplitude of the pumping station building basically shows the characteristics that the vertical amplitude is greater than the horizontal amplitude. The maximum dy... [more]
Single-Phase Universal Power Compensator with an Equal VAR Sharing Approach
Nishant Patnaik, Richa Pandey, Raavi Satish, Balamurali Surakasi, Almoataz Y. Abdelaziz, Adel El-Shahat.
March 1, 2023 (v1)
Keywords: APF, power quality, SRF, UPC, VAR.
In this manuscript, we propose a single-phase UPC (universal power compensator) system to extensively tackle power quality issues (voltage and current) with an equal VAR (volt-ampere reactive) sharing approach between the series and shunt APF (active power filter) of a UPC system. The equal VAR sharing feature facilitates the series and shunt APF inverters to be of an equal rating. An SRF (synchronous reference frame)-based direct PA (power angle) calculation technique is implemented to realize equal VAR sharing between the APFs of the UPC. This PA estimation utilizes d and q axis current parameters derived for the reference signal generation of the shunt APF. An SRF-based method is highly useful for power estimations in distorted supply voltage conditions compared with other conventional methods, i.e., the PQ method. It comprises a reduced complexity and estimations with an easiness to retain two APF inverters of equal rating. A rigorous simulation analysis is performed with MATLAB/SI... [more]
Green Growth, Economic Development, and Carbon Dioxide Emissions: An Evaluation Based on Cointegration and Vector Error Correction Models
Yu Sun, Mingxing Li, Hongzheng Sun, Shahida Kanwel, Mengjuan Zhang, Naila Erum, Abid Hussain.
March 1, 2023 (v1)
Subject: Environment
Keywords: autoregressive integrated moving average (ARIMA) model, carbon dioxide emissions, economic development level, environmental Kuznets curve (EKC) model, vector error correction (VEC) model.
Economic development is mainly dependent on fossil fuels. The massive use of fossil fuels has led to changes in the climate environment, in which the deterioration of air quality has affected people’s daily lives. This paper introduces the green growth level as a control variable to explore the connection between carbon dioxide emissions and the level of economic growth. It uses the EKC algorithm and VEC model to analyze Nanjing city’s data from 1993 to 2018. Given the data availability, the ARIMA algorithm was used to project carbon emissions for 2019−2025. It is found that the EKC curve of Nanjing City shows an N-shape, and the growth of economic level will cause the enhancement of carbon dioxide emissions. Carbon emissions will reach 7,592,140 tons in 2025. At present, we are in an essential stage of transition from N-shape to inverted U-shape, and this paper makes several recommendations based on the findings.
Comprehensive Optimisation of Biodiesel Production Conditions via Supercritical Methanolysis of Waste Cooking Oil
Omar Aboelazayem, Mamdouh Gadalla, Basudeb Saha.
March 1, 2023 (v1)
Keywords: biodiesel, optimisation, response surface methodology, supercritical methanolysis, waste cooking oil.
Biodiesel has been established as a promising alternative fuel to petroleum diesel. This study offers a promising energy conversion platform to valorise high acidity waste cooking oil (WCO) into biodiesel in a single-step reaction via supercritical methanol. Carbon dioxide (CO2) has been used as a co-solvent in the reaction with a catalytic effect to enhance the production of biodiesel. This work provides an in-depth assessment of the yield of four fatty acids methyl esters (FAME) from their correspondent triglycerides and fatty acids. The effects of four independent process variables, i.e., methanol to oil (M:O) molar ratio, temperature, pressure, and time, have been investigated using Response Surface Methodology (RSM). Four quadratic models have been developed between process variables and the yield of FAMEs. The statistical validation of the predicted models has been performed using analysis of variance (ANOVA). Numerical optimisation has been employed to predict the optimal condit... [more]
Social Values as One of the Crucial Determinants of Efficient Strategic Management of an Energy Sector Company
Krzysztof Machaczka, Maciej Stopa.
March 1, 2023 (v1)
Keywords: development management, employees’ values, gender parity in management, holistic management, management by values, social values, strategic dimension management, strategic management, strategy management in the energy sector, values in the energy sector.
A continual increase in the influence of exogenic conditions on a company’s ability to sustain and develop and increasing complexity of the management processes correlated with the discovery of new dimensions of an enterprise, which determine its potential—these all lead to a growing interest in the search for the factors which might facilitate the elevation of the level of integrity of a business model of an enterprise/organisational and managerial system of an enterprise. Currently, it is absolutely necessary to perceive an enterprise not only in the terms of a rational economic system that, in its activity, concentrates on the generation of a positive financial result, and the creation of its value for the stockholders, but also as the system, at the same time, is meant to act responsibly in relation to its stakeholders, society and the market. The observation of successful enterprises shows clearly that the company values make up an element indispensable for the creation of effecti... [more]
Fluid−Structure Coupling Analysis of the Stationary Structures of a Prototype Pump Turbine during Load Rejection
Qilian He, Xingxing Huang, Mengqi Yang, Haixia Yang, Huili Bi, Zhengwei Wang.
March 1, 2023 (v1)
Keywords: fluid–structure coupling, head cover, load rejection, pump turbine, stress concentration.
During the load rejection transient process of the prototype pump turbine units, the pressure fluctuations of the entire flow passage change drastically due to the rapid closing of guide vanes. The extremely unsteady pressure distribution in the flow domains including the crown chamber and the band chamber may cause a strong vibration on the stationary structures of the unit and result in large dynamic stress on the head cover, stay ring and bottom ring. In this paper, the numerical fluid dynamic analysis of the entire flow passage of a reversible prototype pump turbine during load rejection was performed. The flow characteristics in the runner passage, crown chamber, band chamber, seal labyrinths and balance tubes are analysed. The corresponding unsteady flow-induced dynamic behaviour of the head cover, stay vanes and bottom ring was investigated in detail. The analysed results show that the total deformation of the inner edge of the head cover closed to the main shaft is larger than... [more]
Parameter Optimization of Drilling Cuttings Entering into Sieve Holes on a Surface Multi-Hole (SMH) Drill Pipe
Lipei Ding, Yuning Sun, Zhiming Wang, Weibin Song, Yonglong Wang.
March 1, 2023 (v1)
Subject: Optimization
Keywords: borehole drilling, cutting entering region, sieve hole, surface multi-hole drill pipe.
The borehole drilling distance is short in soft and gas outburst-prone coal seams because of drill pipe jamming induced by cuttings accumulating in the borehole, hindering coal mine gas hazard prevention and utilization. A surface multi-hole (SMH) drill pipe composed of a bearing layer, fluid layer, and anti-sparking layer was proposed preliminarily, where several sieve holes were also set. To study the process of drilling cuttings in boreholes entering into the inner hole of an SMH drill pipe and its influencing factors, mechanical model analysis, CFD-DEM simulation, and a physical experiment were conducted. Our research results show the cutting entering region (CER) of the SMH drill pipe shrinks with the rotary speed, expands with the external extrusion force, and is offset with the sieve hole inclination angle. The drilling cuttings migrate and accumulate over time between the borehole wall and SMH drill pipe, which increases their compressive forces and induces increases in the mas... [more]
A Two-Stage Biogas Desulfurization Process Using Cellular Concrete Filtration and an Anoxic Biotrickling Filter
Morgane Poser, Luis Rodolfo Duarte E. Silva, Pascal Peu, Éric Dumont, Annabelle Couvert.
March 1, 2023 (v1)
Subject: Materials
Keywords: biogas, biotrickling filter, cellular concrete, desulfurization, H2S.
A two-stage desulfurization process including an abiotic filtration using cellular concrete waste (first stage) and an anoxic biotrickling filter filling with an inoculated expanded schist material (second stage) was investigated to remove H2S in mimic biogas with limited O2 amount (ranged from 0.5 to 0.8%). The two-stage process was able to satisfactorily remove H2S for all experimental conditions (RE > 97%; H2S concentration = 1500 mg m−3; total Empty Bed Residence Time (EBRT) = 200 s; removal capacity (RC) = 26 g m−3 h−1). Moreover, at a total EBRT = 360 s (i.e., 180 s for each stage), the H2S loading rate (LR) was almost treated by the bed of cellular concrete alone, indicating that abiotic filtration could be applied to satisfactorily remove H2S contained in the gas. According to the H2S concentration entering the biotrickling filter, the majority end-product was either elemental sulfur (S0) or sulfate (SO42−). Thus, the ability of the abiotic filter to remove a significant part o... [more]
Energy Transition Pathways for Deep Decarbonization of the Greater Montreal Region: An Energy Optimization Framework
Sajad Aliakbari Sani, Azadeh Maroufmashat, Frédéric Babonneau, Olivier Bahn, Erick Delage, Alain Haurie, Normand Mousseau, Kathleen Vaillancourt.
March 1, 2023 (v1)
Subject: Energy Policy
Keywords: bottom–up energy model, cities, deep decarbonization, energy policy, ETEM.
More than half of the world’s population live in cities, and by 2050, it is expected that this proportion will reach almost 68%. These densely populated cities consume more than 75% of the world’s primary energy and are responsible for the emission of around 70% of anthropogenic carbon. Providing sustainable energy for the growing demand in cities requires multifaceted planning approach. In this study, we modeled the energy system of the Greater Montreal region to evaluate the impact of different environmental mitigation policies on the energy system of this region over a long-term period (2020−2050). In doing so, we have used the open-source optimization-based model called the Energy−Technology−Environment Model (ETEM). The ETEM is a long-term bottom−up energy model that provides insight into the best options for cities to procure energy, and satisfies useful demands while reducing carbon dioxide (CO2) emissions. Results show that, under a deep decarbonization scenario, the transporta... [more]
Depositional Paleo-Environments of Lower Cambrian Qiongzhusi Formation in the Western Middle Yangtze Block and Its Controlling Effect on the Organic Matter Enrichment
Zhengkai Lan, Junjun Shen.
March 1, 2023 (v1)
Subject: Environment
Keywords: black shale, depositional paleoenvironment, enrichment model, main factors controlling of organic matter enrichment, organic matter, western Middle Yangtze Block.
No systematic comparative study has been conducted on the factors controlling organic matter enrichment in the different depositional environments of the Lower Cambrian Qiongzhusi Formation in the western Middle Yangtze Block, leading to a large discrepancy in our understanding. Based on organic geochemical and elemental analyses of core, outcrop, rock, and mineral samples from the slope, deep-water shelf, and shallow-water shelf, in this study, comparative analysis of the organic matter content, sedimentological characteristics, and depositional paleoenvironments of the Lower Cambrian Qiongzhusi Formation in the western Middle Yangtze Block was conducted, and the main controlling factors and models of the organic matter enrichment were investigated. The results revealed that the organic matter enrichment in the Qiongzhusi Formation was jointly controlled by redox conditions, water restriction, upwelling currents, terrigenous inputs, and paleo-productivity, but the main factors control... [more]
Research on Diagnosis and Prediction Method of Stator Interturn Short-Circuit Fault of Traction Motor
Jianqiang Liu, Hu Tan, Yunming Shi, Yu Ai, Shaoyong Chen, Chenyang Zhang.
March 1, 2023 (v1)
Keywords: fault diagnosis, fault prediction, Park vector, stator interturn short-circuit fault, track fitting, traction motors.
The traction motor (TM) is an essential part of the high-speed train, the health condition of which determines the quality and safety of the vehicle. Hence, this study proposed a novel approach to diagnosing and predicting the TM stator interturn short-circuit fault (SISCF). Based on the Park vector (PV) of the stator current, this method could overcome the interference of current sensor errors, null shift, and motor frequency fluctuations in the actual conditions. More specifically, Park’s transformation was used to obtain the PV of the stator current. Then, the PV was fitted to obtain the elliptical trajectory and its parameters from which the negative sequence component of the stator current could be calculated. Finally, the SISCF diagnosis and prediction method were realized by the magnitude and trend of the negative current as well as the inclination of the trajectory ellipse. Furthermore, the performance of the proposed method was validated by a simulation model and a series of e... [more]
Automatic Recognition of Faults in Mining Areas Based on Convolutional Neural Network
Guangui Zou, Hui Liu, Ke Ren, Bowen Deng, Jingwen Xue.
March 1, 2023 (v1)
Keywords: convolutional neural network, fault interpretation, model parameters, training set.
Tectonic interpretation is critical to a coal mine’s safe production, and fault interpretation is an essential component of seismic tectonic interpretation. With the increasing necessity for accuracy in fault interpretation in coal mines, it is increasingly challenging to achieve greater accuracy only through traditional fault interpretation. The convolutional neural network (CNN) is a machine learning method established in recent years and it has been widely applied in coal mine fault interpretation because of its powerful feature-learning and classification capabilities. To improve the accuracy and efficiency of fault interpretation in coal mines, an automatic seismic fault identification method based on the convolutional neural network has been developed. Taking a mining area in eastern Yunnan province as an example, the CNN model realized automatic identification of faults with eight seismic attributes as feature inputs, and the model-training parameters were optimized and compared... [more]
Modeling and Fuzzy FOPID Controller Tuned by PSO for Pneumatic Positioning System
Mohamed Naji Muftah, Ahmad Athif Mohd Faudzi, Shafishuhaza Sahlan, Mokhtar Shouran.
March 1, 2023 (v1)
Keywords: fuzzy FOPID, fuzzy PID, intelligent pneumatic actuators, PSO algorithm.
A pneumatic cylinder system is believed to be extremely nonlinear and sensitive to nonlinearities, which makes it challenging to establish precise position control of the actuator. The current research is aimed at reducing the overshoot in the response of a double-acting pneumatic actuator, namely, the IPA positioning system’s reaction time. The pneumatic system was modeled using an autoregressive with exogenous input (ARX) model structure, and the control strategy was implemented using a fuzzy fractional order proportional integral derivative (fuzzy FOPID) employing the particle swarm optimization (PSO) algorithm. This approach was used to determine the optimal controller parameters. A comparison study has been conducted to prove the advantages of utilizing a PSO fuzzy FOPID controller over PSO fuzzy PID. The controller tuning algorithm was validated and tested using a pneumatic actuator system in both simulation and real environments. From the standpoint of time-domain performance me... [more]
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