机械工程与自动化
機械工程與自動化
궤계공정여자동화
MECHANICAL ENGINEERING & AUTOMATION
2013年
5期
116-118
,共3页
主元分析%故障诊断%多变量系统%MIMO
主元分析%故障診斷%多變量繫統%MIMO
주원분석%고장진단%다변량계통%MIMO
principal component analysis%fault diagnosis%multivariable systems%MIMO
针对多输入多输出对象应用多元分析方法实现系统的故障检测与诊断,能够有效克服机理分析法诊断的缺点,既可以消除各变量之间的关联,也减小外界噪声的影响。通过对多变量液位控制进行试验验证,主元分析法能够有效地对生产过程进行监测,并准确及时地分析判断系统中发生的故障。
針對多輸入多輸齣對象應用多元分析方法實現繫統的故障檢測與診斷,能夠有效剋服機理分析法診斷的缺點,既可以消除各變量之間的關聯,也減小外界譟聲的影響。通過對多變量液位控製進行試驗驗證,主元分析法能夠有效地對生產過程進行鑑測,併準確及時地分析判斷繫統中髮生的故障。
침대다수입다수출대상응용다원분석방법실현계통적고장검측여진단,능구유효극복궤리분석법진단적결점,기가이소제각변량지간적관련,야감소외계조성적영향。통과대다변량액위공제진행시험험증,주원분석법능구유효지대생산과정진행감측,병준학급시지분석판단계통중발생적고장。
Using principal component analysis (PCA) realized fault detection and diagnosis system for multiple-input multiple-output (MIMO) object .It was possible to overcome the shortcomings of the mechanism analysis diagnosis .The association between the variables was eliminated ,and the effects of ambient noise was reduced .The experiments on the multi-variable level control show the PCA method can monitor the production process effectively ,and diagnose the faults in the system accurately and timely .