电网技术2011，Vol.35Issue(7)：36-41,6.
基于决策融合的直驱风力发电机组轴承故障诊断
Fault Diagnosis of Spherical Roller Bearing of Direct-Drive Wind Turbine Based on Decision Fusion
摘要
Abstract
Based on decision fusion of multi-source feature of vibration signal in time-domain and frequency-domain as well as its envelope spectrum, a fault diagnosis model of spherical roller bearing of direct-drive wind turbine is built. Experimental research on four states of direct-drive wind turbine including its normal operation and frequently occurred outer race fault, inner race fault and roller fault of spherical roller bearing of main shaft are performed in laboratory. In order to diagnose the faults of wind turbine bearings, some sensitive feature parameters, which possess higher fault discrimination degree and are suitable to bearing fault diagnosis of wind power generation unit, are selected. The vibration signal features of wind power unit in time-domain, frequency-domain and envelope spectrum in the frequency-domain are taken as diagnosis samples, and the preliminary diagnosis of bearing faults of the unit is carried out by gray incidence analysis; then the decision fusion of different evidences are implemented by evidence fusion theory to obtain final diagnosis result. Experimental results show that the bearing faults of wind power generation unit can be well recognized by the proposed method.关键词
多源特征/决策融合/直驱风力发电机组/调心滚子轴承/故障实验/特征提取/故障诊断Key words
multi-feature/ decision fusion/ direct-drive wind turbine/ spherical roller bearing/ fault experiment/ feature extraction/ fault diagnosis分类
信息技术与安全科学引用本文复制引用
安学利,蒋东翔,李少华..基于决策融合的直驱风力发电机组轴承故障诊断[J].电网技术,2011,35(7):36-41,6.基金项目
国家重点基础研究发展计划项目(973项目)(2007CB210304) （973项目）
中国博士后科学基金资助项目(20090460273). （20090460273）
