流体机械Issue(10)：52-55,59,5.DOI:10.3969/j.issn.1005-0329.2014.10.011
基于 PCA 的往复压缩机气阀故障异常监测方法
Method of Valve Fault Detection for Reciprocating Compressor based on Principal Component Analysis
摘要
Abstract
In order to satisfy the pressing needs of valve fault automatically detection, and according to the characteristic of valves’ temperature data,it’ s found that the suction ( or exhaust) valves’ temperature is consistent when the valves work,other-wise it’ s not.From this fact,the authors use the PCA ( Principal Component Analysis) to extract features to reflect the perform-ance based on valves’ temperature data.Simultaneously,with the establishment of radial basis model,it can achieve valve fault a-nomaly detection and automatic location of abnormal valve,and lay the foundation of early and quick warning of valve fault.关键词
往复压缩机/气阀故障/PCA/特征提取/异常检测Key words
reciprocating compressor/valve fault/PCA/feature extraction/anomaly detection分类
机械制造引用本文复制引用
徐丰甜,李建,孔祥宇,李村波,江志农,张进杰..基于 PCA 的往复压缩机气阀故障异常监测方法[J].流体机械,2014,(10):52-55,59,5.基金项目
国家重点基础研究发展计划（“973”计划）项目（2012CB026000）；国家自然科学基金重点项目 （）
