scholarly journals A Method For Identifying Abnormal Operation State Of Variable Pitch System Of Wind Turbine

2016 ◽  
Author(s):  
Jinpeng Yang ◽  
Jianming Wang ◽  
Wanye Yao
Keyword(s):  
Wind Turbine ◽  
Variable Pitch ◽  
Pitch System ◽  
Abnormal Operation

scholarly journals Fault Detection of the Wind Turbine Variable Pitch System Based on Large Margin Distribution Machine Optimized by the State Transition Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Mingzhu Tang ◽  
Jiahao Hu ◽  
Zijie Kuang ◽  
Huawei Wu ◽  
Qi Zhao ◽  
...  
Keyword(s):  
Fault Detection ◽  
Wind Turbine ◽  
State Transition ◽  
The State ◽  
Variable Pitch ◽  
Large Margin ◽  
Detection Model ◽  
Margin Distribution ◽  
State Transition Algorithm ◽  
Pitch System

Aiming at solving the problem that the parameters of a fault detection model are difficult to be optimized, the paper proposes the fault detection of the wind turbine variable pitch system based on large margin distribution machine (LDM) which is optimized by the state transition algorithm (STA). By setting the three parameters of the LDM model as a three-dimensional vector which was searched by STA, by using the accuracy of fault detection model as the fitness function of STA, and by adopting the four state transformation operators of STA to carry out global search in the form of point, line, surface, and sphere in the search space, the global optimal parameters of LDM fault detection model are obtained and used to train the model. Compared with the grid search (GS) method, particle swarm optimization (PSO) algorithm, and genetic algorithm (GA), the proposed model method has lower false positive rate (FPR) and false negative rate (FNR) in the fault detection of wind turbine variable pitch system in a real wind farm.

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