宁夏电力Issue(3)：27-31,44,6.DOI:10.3969/j.issn.1672-3643.2014.03.006
基于优化算法的风机振动故障模拟与诊断
Simulation and diagnosis research on vibration fault of wind power generator based on the optimization algorithm
杨雅兰 1张浪 2梁亚波3
作者信息
- 1. 中国石油庆阳石化公司，甘肃 庆阳 745002
- 2. 国网宁夏电力公司宁东供电公司，宁夏 银川 750411
- 3. 国网宁夏电力公司电力科学研究院，宁夏 银川 750011
- 折叠
摘要
Abstract
In order to solve the problems of the vibration fault data shortage and low accuracy of fault diagnosis rate in traditional algorithm for direct drive permanent magnet synchronous wind power generator ( DDPMG) vibration fault, according to the trait of traditional synchronous generator vibration characteristic is similar to DDPMG,adopts synchronous generator to simulate the vibration faults of DDPMG, acquires the vibration data of simulating DDPMG under the different operation conditions, using genetic algorithm (GA) hierarchically to optimize the parameters of least square support vector machine (LS-SVM)makes fault diagnosis. Compare with the no optimization LS-SVM method, the diagnosis result shows that:the accuracy of fault diagnosis by the optimized algorithm is much higher,it can provide reference for later DDPMG vibration fault monitoring and diagnosis technology research.关键词
DDPMG/GA/LS-SVM/振动故障模拟/故障诊断Key words
DDPMG/GA/LS-SVM/vibration fault simulation/fault diagnosis分类
信息技术与安全科学引用本文复制引用
杨雅兰,张浪,梁亚波..基于优化算法的风机振动故障模拟与诊断[J].宁夏电力,2014,(3):27-31,44,6.
