Fault diagnosis of wind turbine using control loop current signals

Hang, Jun; Zhang, Jianzhong; Cheng, Ming

doi:10.1109/ecce.2014.6953824

Cited by 3 publications

(2 citation statements)

References 17 publications

(22 reference statements)

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“…As illustrated above, VKF_OT can single out mono-component-related signatures, so it is an effective tool for the analysis of measured dynamic signals. Scholars have done numerous investigations of application and improvement research for VKF_OT [ 113 , 114 , 115 , 116 , 117 , 118 , 119 , 120 , 121 , 122 , 123 , 124 , 125 , 126 , 127 , 128 , 129 , 130 , 131 , 132 , 133 , 134 , 135 ].…”

Section: Vold–kalman Filter Order Trackingmentioning

confidence: 99%

A Comparative Study of Four Kinds of Adaptive Decomposition Algorithms and Their Applications

Liu

Luo

Huang

et al. 2018

Sensors

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The adaptive decomposition algorithm is a powerful tool for signal analysis, because it can decompose signals into several narrow-band components, which is advantageous to quantitatively evaluate signal characteristics. In this paper, we present a comparative study of four kinds of adaptive decomposition algorithms, including some algorithms deriving from empirical mode decomposition (EMD), empirical wavelet transform (EWT), variational mode decomposition (VMD) and Vold–Kalman filter order tracking (VKF_OT). Their principles, advantages and disadvantages, and improvements and applications to signal analyses in dynamic analysis of mechanical system and machinery fault diagnosis are showed. Examples are provided to illustrate important influence performance factors and improvements of these algorithms. Finally, we summarize applicable scopes, inapplicable scopes and some further works of these methods in respect of precise filters and rough filters. It is hoped that the paper can provide a valuable reference for application and improvement of these methods in signal processing.

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Section: Vold–kalman Filter Order Trackingmentioning

confidence: 99%

A Comparative Study of Four Kinds of Adaptive Decomposition Algorithms and Their Applications

Liu

Luo

Huang

et al. 2018

Sensors

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“…Compared with the traditional XGboost, the diagnosis accuracy and stability are significantly improved. Light Gradient Boosting Machine (LightGBM) [9][10][11] has become a popular algorithm for many applications due to its high accuracy and efficiency. Literature [12] proposed Bayesian improved parameter optimization LightGBM algorithm wind turbine fault diagnosis model, which improved the influence of parameter uncertainty on model prediction accuracy and improved fault diagnosis accuracy, but only had the problem of long model training time.…”

Section: Introductionmentioning

confidence: 99%

Operation monitoring and decision-making assistance for flexible DC converter valve based on improved LightGBM

Tian,

Xu,

Liu

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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Aiming at the problem that the fault diagnosis accuracy of flexible DC converter valve is not high, a fault diagnosis method of Flexible DC converter valve of PCA-LSSA-LightGBM is proposed. Using the fault feature library collected by the simulation system, the normalization and standardization processing are carried out first, and then the key fault features are extracted through principal component analysis to reduce the complexity of fault diagnosis. Combined with the operation mode of flexible DC converter valve, a lightweight gradient elevator model is established, and optimizing the parameters of the light gradient boosting machine are found by introducing Singer mapping and the sparrow search algorithm optimized by Levy flight strategy. Experiments show that the comprehensive accuracy rate of PCA-LSSA-LightGBM model diagnosis results is 96.09%, which is higher than that of other fault diagnosis methods, which verifies the correctness and effectiveness of the fault diagnosis of flexible DC converter valve applied in this method.

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Finite-time fault detection and reconstruction of permanent magnet synchronous generation wind turbine via sliding mode observer

Khodakaramzadeh

Ayati

2023

International Journal of Control

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Fault diagnosis of wind turbine using control loop current signals

Cited by 3 publications

References 17 publications

A Comparative Study of Four Kinds of Adaptive Decomposition Algorithms and Their Applications

A Comparative Study of Four Kinds of Adaptive Decomposition Algorithms and Their Applications

Operation monitoring and decision-making assistance for flexible DC converter valve based on improved LightGBM

Finite-time fault detection and reconstruction of permanent magnet synchronous generation wind turbine via sliding mode observer

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