CAJ | 학술논문

针对聚合釜聚合生产聚氯乙烯过程的故障种类较多、故障类型复杂等特点，同时生产过程存在严重的非线性、动态性，提出一种基于DKPCA的故障诊断算法。过程中分别采用主元分析、核主元分析和动态核主元分析分别对PVC聚合过程进行故障诊断，其中主元分析和核主元分析的错报率较高，而动态核主元分析对PVC聚合过程能够得到较好的诊断结果，从而可以对实际的PVC聚合生产过程进行监测。
침대취합부취합생산취록을희과정적고장충류교다、고장류형복잡등특점，동시생산과정존재엄중적비선성、동태성，제출일충기우DKPCA적고장진단산법。과정중분별채용주원분석、핵주원분석화동태핵주원분석분별대PVC취합과정진행고장진단，기중주원분석화핵주원분석적착보솔교고，이동태핵주원분석대PVC취합과정능구득도교호적진단결과，종이가이대실제적PVC취합생산과정진행감측。
For the characteristics of PVC polymerization process that fault types are varied and complex, while the production process is serious nonlinear and dynamic, a fault diagnosis algorithm is proposed based on DKPCA. In the process component analysis, kernel principal component analysis and dynamic kernel principal component analysis are used to carry out fault diagnosis on the PVC polymerization process. PCA and KPCA misstatements rate is serious,and dynamic kernel principal component analysis for PVC polymerization process fault diagnosis has better diagnostic result. The actual process for the pro-duction of PVC polymerization can be monitored.