水力发电学报2014，Vol.33Issue(3)：279-285,7.
基于改进主成分分析法的水轮发电机组振动故障诊断研究
Study of vibration fault diagnosis for hydro-turbine generating unit based on improved principal component analysis model
摘要
Abstract
The paper describes an improved principal component analysis model for hydro-turbine generating unit characterized by complicated causes of vibration faults and many fault parameters.This model uses the membership in fuzzy theory for normalization and standardization of the numerical values in the initial value matrix and selects all the principal components to integrate the selection standard and reduce information loss.For the principal components,their weights are specified by the theory of entropy utility value to represent the amount of information dimension of primal variable contained within them,and to meet the strict requirements by their volume and regularity,grey relational degree is used to calculate the weights for a comprehensive evaluation.A case study of a hydro-turbine generating unit indicates that the method is useful for vibration fault diagnosis involved with fault parameters of different physical quantities.关键词
水轮发电机组/振动故障诊断/主成分分析/灰关联Key words
hydro-turbine generating unit/ vibration fault diagnosis/ principal component analysis/ diagnosis/grey relational分类
信息技术与安全科学引用本文复制引用
王瑞莲,赵万里..基于改进主成分分析法的水轮发电机组振动故障诊断研究[J].水力发电学报,2014,33(3):279-285,7.基金项目
高层次人才科研启动项目(40203) （40203）
