摘要
利用主元分析,建立主元模型,可以在保留原有数据信息特征的基础上消除变量关联和部分系统干扰,简化分析复杂度。基于主元模型,结合平方预测误差统计图,可以实现对运行系统的故障监测与诊断分析。通过在一个三相绕组异步电动机上的应用,说明了此方法的有效性。
Principle Component Analysis (PGA) is an effective way not only to eliminate correlation between process variables and reduce the influence of noise and disturbance on system, but also to reserve enough information of original data characteristics needed for modeling. Based on principle component model, detection and diagnosis analysis is carried out on a 3-phase symmetrical induction motors with multivariate statistical technioques.
出处
《机电工程》
CAS
2003年第5期180-182,共3页
Journal of Mechanical & Electrical Engineering
基金
国家"863"计划资助项目(863-511-920-011)