LAPSE:2023.22888
Published Article

LAPSE:2023.22888
Fatigue Reliability Analysis of Wind Turbine Drivetrain Considering Strength Degradation and Load Sharing Using Survival Signature and FTA
March 24, 2023
Abstract
The wind turbine drivetrain suffers significant impact loads that severely affect the reliability and safety of wind turbines. Bearings and gears within the drivetrain are critical components with high repair costs and lengthy downtime. To realistically assess the system reliability, we propose to establish an electromechanical coupling dynamic model of the wind turbine considering the control strategy and environmental parameters and evaluate the system’s reliability of wind turbine drivetrain based on loads of gears and bearings. This paper focuses on the dynamic reliability analysis of the wind turbine under the control strategy and environmental conditions. SIMPACK (v9.7, Dassault Systèmes, Gilching, Germany) is used to develop the aero-hydro-servo-elastic coupling dynamic model with the full drivetrain that considers the flexibility of the tower and blade, the stochastic loads of wind and waves, gear meshing features, as well as the control strategy. The system reliability level of wind turbine drivetrain at different wind conditions is assessed using survival signature and fault tree analysis (FTA), and the influences of strength degradation of the transmission components on the system reliability are explored. Following this, the bending fatigue reliability and contact fatigue reliability concerning different wind conditions are compared in this paper. A case study is performed to demonstrate the effectiveness and feasibility of the proposed methodology.
The wind turbine drivetrain suffers significant impact loads that severely affect the reliability and safety of wind turbines. Bearings and gears within the drivetrain are critical components with high repair costs and lengthy downtime. To realistically assess the system reliability, we propose to establish an electromechanical coupling dynamic model of the wind turbine considering the control strategy and environmental parameters and evaluate the system’s reliability of wind turbine drivetrain based on loads of gears and bearings. This paper focuses on the dynamic reliability analysis of the wind turbine under the control strategy and environmental conditions. SIMPACK (v9.7, Dassault Systèmes, Gilching, Germany) is used to develop the aero-hydro-servo-elastic coupling dynamic model with the full drivetrain that considers the flexibility of the tower and blade, the stochastic loads of wind and waves, gear meshing features, as well as the control strategy. The system reliability level of wind turbine drivetrain at different wind conditions is assessed using survival signature and fault tree analysis (FTA), and the influences of strength degradation of the transmission components on the system reliability are explored. Following this, the bending fatigue reliability and contact fatigue reliability concerning different wind conditions are compared in this paper. A case study is performed to demonstrate the effectiveness and feasibility of the proposed methodology.
Record ID
Keywords
dynamic model, fatigue damage accumulation, load sharing, reliability analysis, survival signature, wind turbine drivetrain
Subject
Suggested Citation
Li Y, Zhu C, Chen X, Tan J. Fatigue Reliability Analysis of Wind Turbine Drivetrain Considering Strength Degradation and Load Sharing Using Survival Signature and FTA. (2023). LAPSE:2023.22888
Author Affiliations
Li Y: State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China [ORCID]
Zhu C: State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China [ORCID]
Chen X: State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China
Tan J: State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China
Zhu C: State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China [ORCID]
Chen X: State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China
Tan J: State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China
Journal Name
Energies
Volume
13
Issue
8
Article Number
E2108
Year
2020
Publication Date
2020-04-23
ISSN
1996-1073
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Original Submission
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PII: en13082108, Publication Type: Journal Article
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LAPSE:2023.22888
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https://doi.org/10.3390/en13082108
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Mar 24, 2023
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