Multi-Rate Principle Component Analysis for Process Monitoring

Abstract

Abstract:

Abstract： To monitor multi-rate processes, a multi-rate principle components analysis algorithm was proposed in which the covariance matrix was calculated using the incomplete multi-rate data samples. To avoid the bias of the covariance matrix, the resampling method was adopted. Besides, the offline modeling strategy and online monitoring strategy were proposed. Then two case studies on both numerical and Tennessee Eastman process (TEP) simulation was given to prove the effectiveness of the proposed algorithm compared to other methods. The result shows that the proposed method has a better performance in multirate process monitoring.

Key words: multi-rate process monitoring, principle components analysis, fault detection

CLC Number:

TP 277

CONG Ya,GE Zhiqiang,SONG Zhihuan. Multi-Rate Principle Component Analysis for Process Monitoring[J]. Journal of Shanghai Jiaotong University, 2015, 49(06): 762-767.

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