Probabilistic modeling for long-term fatigue reliability of wind turbines based on Markov model and subset simulation

Zhu, Dongping; Ding, Zhixia; Huang, Xiaogang; Li, Xuan

doi:10.1016/j.ijfatigue.2023.107685

Cited by 12 publications

(2 citation statements)

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“…Mankar et al [13] presented a probabilistic framework for a reliability assessment of onshore WT foundations with the aim of optimizing the design. Zhu et al [14] proposed a method using the Markov model and a subset simulation to assess the fatigue reliability of WTs for long-term operation.…”

Section: Introductionmentioning

confidence: 99%

Research on the Effect of Aerodynamic Imbalance on Fatigue Performance of a Wind Turbine Foundation with Embedded Steel Ring

Liu,

Li,

Zhang

et al. 2024

Buildings

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Wind turbine (WT) foundations with an embedded steel ring (ESR) are widely used in onshore WTs due to construction convenience. The research group found that WT foundations with damage were often accompanied by blade issues. To investigate the potential correlation between aerodynamic imbalance and fatigue damage of the WT foundation with an ESR, this study focuses on a 2 MW WT with an ESR. It investigates the influence of an error in pitch angle (PAE) on the WT’s foundation load and stress, utilizing one year of SCADA data to analyze the fatigue damage caused by PAE. The main conclusions are as follows: Firstly, the effect of PAE on the amplitude value of load and stress is significantly greater than on the average value of load and stress. Secondly, when the PAE is within the range of −3° to 3°, the foundation fatigue damage incurred over one year is minimal, but once this limit is exceeded, the foundation fatigue damage increases dramatically. Thirdly, the peak value of fatigue damage to the foundation caused by PAE does not necessarily occur in the main wind direction, but in the direction with the highest probability of the occurrence of high wind speeds, and the larger the PAE, the more significant the trend.

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Section: Introductionmentioning

confidence: 99%

Research on the Effect of Aerodynamic Imbalance on Fatigue Performance of a Wind Turbine Foundation with Embedded Steel Ring

Liu,

Li,

Zhang

et al. 2024

Buildings

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“…Wang [7] proposed a fast reliability evaluation method for backup redundant systems based on survival signature. Zhu [8] proposed a reliability probabilistic modeling method based on Markov model and subset simulation to solve the reliability problem of wind turbine long-term fatigue. On the basis of zero failure data lifetime reliability evaluation method, Chen [9] proposed a reliability evaluation method and simulation test method which fused numerical simulation with zero failure data.…”

Section: Introductionmentioning

confidence: 99%

Fault analysis and reliability evaluation for motorized spindle of cycloidal gear grinding machine based on multi-source bayes

Wang,

Zhang,

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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A Monte Carlo simulation method based on multisource bayes is proposed to improve the reliability of motorized spindles in cycloid gear grinding machines and reduce their failure rate. Based on field investigations and motorized spindle maintenance records, a fault tree model of a motorized spindle was established, and the fuzzy importance of each bottom event was evaluated. The fault tree of a motorized spindle was used as a Monte Carlo reliability simulation model, and its importance was used as the input parameter for the simulation. The reliability evaluation index of the motorized spindle was obtained at different simulation times. The feasibility and accuracy of the reliability simulation were verified by comparing the importance and simulation importance. A vibration test was designed for bearing faults with high importance, and fault extraction was performed by combining the wavelet packet transform and empirical mode decomposition. This method can also be used to simulate and analyze the reliability of other equipment or machine tools.

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Probabilistic model for fatigue damage estimation of wind turbines with hidden markov model and neural network

Zhu,

Ding,

Huang

2024

Ocean Engineering

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Probabilistic modeling for long-term fatigue reliability of wind turbines based on Markov model and subset simulation

Cited by 12 publications

References 50 publications

Research on the Effect of Aerodynamic Imbalance on Fatigue Performance of a Wind Turbine Foundation with Embedded Steel Ring

Research on the Effect of Aerodynamic Imbalance on Fatigue Performance of a Wind Turbine Foundation with Embedded Steel Ring

Fault analysis and reliability evaluation for motorized spindle of cycloidal gear grinding machine based on multi-source bayes

Probabilistic model for fatigue damage estimation of wind turbines with hidden markov model and neural network

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