水利学报2016，Vol.47Issue(2)：173-179,7.DOI:10.13243/j.cnki.slxb.20150515
水轮发电机组非平稳振动信号的检测与故障诊断
Detection for non-stationary vibration signaland fault diagnosis ofhydropower unit
摘要
Abstract
In view of the traditional method is difficult to accurately detect non-stationary vibration signal of hydro-generator units and the low accuracy of existing vibration fault diagnosis methods,this paper intro⁃duced the permutation entropy algorithm for detection and analysis. And then realized feature extraction of non-stationary vibration signals based on multi-dimensional permutation entropy,so as to construct fault da⁃ta samples;The diagnosis model of support vector machine (SVM) based on genetic algorithm is estab⁃lished, and the sample data is the input of the model, then the fault diagnosis and identification is com⁃pleted. The simulation results show that permutation entropy can effectively detect the mutations of non-sta⁃tionary vibration signals,and the fault diagnosis method based on MPE and SVM can effectively identify ab⁃normal situation of the unit and achieve higher diagnostic accuracy.关键词
水轮发电机组/非平稳/多维度排列熵/支持向量机/故障诊断Key words
hydropower unit/non-stationary/multi-dimension permutation entropy/support vector ma-chine/faulty diagnosis分类
建筑与水利引用本文复制引用
党建,何洋洋,贾嵘,董开松,谢永涛..水轮发电机组非平稳振动信号的检测与故障诊断[J].水利学报,2016,47(2):173-179,7.基金项目
国家自然科学基金项目 （）
