Method on condition assessment of pitch system based on fuzzy matter-element analysis

International Conference on Manufacturing Technology, Materials and Chemical Engineering

材料科学;化学工业

Zhao, Shuangxi^1 ; Zhang, Lei^2 ; Hou, Lijun^3 ; Xiao, Cheng^2^4 ; Zhu, Xipan^2

REsource Electric Tianjin Ltd, Tianjin

300380, China^1

School of Artificial Intelligence, Hebei University of Technology, Tianjin

300130, China^2

RENergy Electric Tianjin Ltd, Tianjin

300380, China^3

School of Electronics and Control Engineering, North China Institute of Aerospace Engineering, Langfang

065000, China^4

关键词: Actual operation;    Analysis method;    Boundary data sets;    Condition assessments;    Extreme value;    Fuzzy matter elements;    Multi features;    Parameter distributions;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/592/1/012092/pdf
DOI  :  10.1088/1757-899X/592/1/012092

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In order to improve the real-time reliability of wind turbine and solve the effect of artificial factors, fuzzy matter-element analysis is proposed. The pitch system, which has high failure rate, is researched in this paper. The condition assessment model of pitch system is built in two steps: (1) To avoid the subjective judgment of the parameter distribution, this thesis uses 3σ rule and quartile analysis method to get the boundary data sets. The ANFIS algorithm is used to train the data to reduce the extreme value, and results of multi-feature fault detection are obtained. (2) Results from fault detection are applied in condition assessment model based on fuzzy matter-element analysis to realize the unification of fuzzy value of detection result and grade assessment. The method is applied to test the actual operation state of wind turbine. The results show that it can obviously reflect the pitch system and has better assessment effects.