LAPSE:2023.33862v1
Published Article
LAPSE:2023.33862v1
Condition Monitoring of Internal Combustion Engines in Thermal Power Plants Based on Control Charts and Adapted Nelson Rules
April 24, 2023
Abstract
In thermal power plants, the internal combustion engines are constantly subjected to stresses, requiring a continuous monitoring system in order to check their operating conditions. However, most of the time, these monitoring systems only indicate if the monitored parameters are in nonconformity close to the occurrence of a catastrophic failure—they do not allow a predictive analysis of the operating conditions of the machine. In this paper, a statistical model, based on the statistical control process and Nelson Rules, is proposed to analyze the operational conditions of the machine based on the supervisory system data. The statistical model is validated through comparisons with entries of the plant logbook. It is demonstrated that the results obtained with the proposed statistical model match perfectly with the entries of the logbook, showing our model to be a promising tool for making decisions concerning maintenance in the plant.
In thermal power plants, the internal combustion engines are constantly subjected to stresses, requiring a continuous monitoring system in order to check their operating conditions. However, most of the time, these monitoring systems only indicate if the monitored parameters are in nonconformity close to the occurrence of a catastrophic failure—they do not allow a predictive analysis of the operating conditions of the machine. In this paper, a statistical model, based on the statistical control process and Nelson Rules, is proposed to analyze the operational conditions of the machine based on the supervisory system data. The statistical model is validated through comparisons with entries of the plant logbook. It is demonstrated that the results obtained with the proposed statistical model match perfectly with the entries of the logbook, showing our model to be a promising tool for making decisions concerning maintenance in the plant.
Record ID
Keywords
condition-based maintenance, failure analysis, internal combustion engines, Nelson Rules, statistical process control
Suggested Citation
Vilas Boas FM, Borges-da-Silva LE, Villa-Nova HF, Bonaldi EL, Oliveira LEL, Lambert-Torres G, Assuncao FDO, Costa CIDA, Campos MM, Sant’Ana WC, Lacerda J, da Silva Junior JLM, da Silva EG. Condition Monitoring of Internal Combustion Engines in Thermal Power Plants Based on Control Charts and Adapted Nelson Rules. (2023). LAPSE:2023.33862v1
Author Affiliations
Vilas Boas FM: Itajuba Federal University, Pro-Reitoria de Pesquisa e Pos-Graduacao (PRPPG), Itajuba 37500-903, MG, Brazil; Gnarus Institute, Itajuba 37500-052, MG, Brazil
Borges-da-Silva LE: Itajuba Federal University, Pro-Reitoria de Pesquisa e Pos-Graduacao (PRPPG), Itajuba 37500-903, MG, Brazil
Villa-Nova HF: Itajuba Federal University, Pro-Reitoria de Pesquisa e Pos-Graduacao (PRPPG), Itajuba 37500-903, MG, Brazil
Bonaldi EL: Gnarus Institute, Itajuba 37500-052, MG, Brazil
Oliveira LEL: Gnarus Institute, Itajuba 37500-052, MG, Brazil
Lambert-Torres G: Gnarus Institute, Itajuba 37500-052, MG, Brazil [ORCID]
Assuncao FDO: Gnarus Institute, Itajuba 37500-052, MG, Brazil
Costa CIDA: Gnarus Institute, Itajuba 37500-052, MG, Brazil
Campos MM: Gnarus Institute, Itajuba 37500-052, MG, Brazil
Sant’Ana WC: Gnarus Institute, Itajuba 37500-052, MG, Brazil [ORCID]
Lacerda J: Gnarus Institute, Itajuba 37500-052, MG, Brazil; Rio Amazonas Energia S.A. (RAESA), Manaus 69099-899, AM, Brazil
da Silva Junior JLM: Rio Amazonas Energia S.A. (RAESA), Manaus 69099-899, AM, Brazil
da Silva EG: Rio Amazonas Energia S.A. (RAESA), Manaus 69099-899, AM, Brazil
Borges-da-Silva LE: Itajuba Federal University, Pro-Reitoria de Pesquisa e Pos-Graduacao (PRPPG), Itajuba 37500-903, MG, Brazil
Villa-Nova HF: Itajuba Federal University, Pro-Reitoria de Pesquisa e Pos-Graduacao (PRPPG), Itajuba 37500-903, MG, Brazil
Bonaldi EL: Gnarus Institute, Itajuba 37500-052, MG, Brazil
Oliveira LEL: Gnarus Institute, Itajuba 37500-052, MG, Brazil
Lambert-Torres G: Gnarus Institute, Itajuba 37500-052, MG, Brazil [ORCID]
Assuncao FDO: Gnarus Institute, Itajuba 37500-052, MG, Brazil
Costa CIDA: Gnarus Institute, Itajuba 37500-052, MG, Brazil
Campos MM: Gnarus Institute, Itajuba 37500-052, MG, Brazil
Sant’Ana WC: Gnarus Institute, Itajuba 37500-052, MG, Brazil [ORCID]
Lacerda J: Gnarus Institute, Itajuba 37500-052, MG, Brazil; Rio Amazonas Energia S.A. (RAESA), Manaus 69099-899, AM, Brazil
da Silva Junior JLM: Rio Amazonas Energia S.A. (RAESA), Manaus 69099-899, AM, Brazil
da Silva EG: Rio Amazonas Energia S.A. (RAESA), Manaus 69099-899, AM, Brazil
Journal Name
Energies
Volume
14
Issue
16
First Page
4924
Year
2021
Publication Date
2021-08-11
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14164924, Publication Type: Journal Article
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LAPSE:2023.33862v1
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https://doi.org/10.3390/en14164924
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Apr 24, 2023
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