流体机械
流體機械
류체궤계
FLUID MACHINERY
2014年
10期
52-55,59
,共5页
徐丰甜%李建%孔祥宇%李村波%江志农%张进杰
徐豐甜%李建%孔祥宇%李村波%江誌農%張進傑
서봉첨%리건%공상우%리촌파%강지농%장진걸
往复压缩机%气阀故障%PCA%特征提取%异常检测
往複壓縮機%氣閥故障%PCA%特徵提取%異常檢測
왕복압축궤%기벌고장%PCA%특정제취%이상검측
reciprocating compressor%valve fault%PCA%feature extraction%anomaly detection
针对气阀故障异常自动检测迫切需求，针对气阀故障在温度数据的表现特点，即同类气阀正常工作时温度波动一致，故障时温度波动存在差异，采用主成分分析（ PCA）从气阀阀盖温度数据中提取故障特征参数，建立基于径向基函数的故障异常监测模型，实现了故障异常自动检测，并可进一步对故障气阀进行自动定位，为故障早期快速报警奠定了基础。
針對氣閥故障異常自動檢測迫切需求，針對氣閥故障在溫度數據的錶現特點，即同類氣閥正常工作時溫度波動一緻，故障時溫度波動存在差異，採用主成分分析（ PCA）從氣閥閥蓋溫度數據中提取故障特徵參數，建立基于徑嚮基函數的故障異常鑑測模型，實現瞭故障異常自動檢測，併可進一步對故障氣閥進行自動定位，為故障早期快速報警奠定瞭基礎。
침대기벌고장이상자동검측박절수구，침대기벌고장재온도수거적표현특점，즉동류기벌정상공작시온도파동일치，고장시온도파동존재차이，채용주성분분석（ PCA）종기벌벌개온도수거중제취고장특정삼수，건립기우경향기함수적고장이상감측모형，실현료고장이상자동검측，병가진일보대고장기벌진행자동정위，위고장조기쾌속보경전정료기출。
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.
