| Citation: | WANG Jinhua, ZHU Enchang, CAO Jie, et al. Fault diagnosis method for wind turbine pitch system based on modified IMM[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(8): 1460-1468. doi: 10.13700/j.bh.1001-5965.2019.0526(in Chinese)
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Aimed at the diagnostic accuracy reduction, speed drop and estimation accuracy loss caused by the fixed model transition probability of Interactive Multi-Model (IMM) fault diagnosis method, this paper proposes a fault diagnosis method based on model transition probability and model probability modification, which is combined with the Particle Filter (PF) to achieve multi-fault diagnosis of wind turbine pitch sensor. In the non-mode-switching phase, the posterior model probability gradient information is used to design the modification function of the model transition probability to suppress the influence of noise on the accuracy of IMM estimation. In the mode-switching phase, the model probability inversion strategy is used to quickly switch models to compensate for diagnostic delay and error diagnosis caused by model soft handoff. The simulation results show that the fault diagnosis accuracy, model switching speed and state estimation accuracy of the proposed method are improved.
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