• 研究论文 •

### PCA过程监测方法的故障检测行为分析

1. 浙江大学工业控制技术国家重点实验室、工业控制技术研究所

• 出版日期:2010-07-29

### FAULT DETECTION BEHAVIOR ANALYSIS OF PCA-BASED PROCESS MONITORING APPROACH

WANG Haiqing;SONG Zhihuan;WANG Hui

• Online:2010-07-29

Abstract: Principal component analysis (PCA) is an effective approach to process monitoring and quality control.Although extensive researches related with PCA-based process monitoring approaches have been reported, the characteristics and fault detecting behavior of PCA are still equivocal.The commonly accepted conclusions in this field often conflict with the root cause of process malfunction and lead to incorrect understanding of the detection results.The expectations of T 2 and SPE statistics are studied in this paper and their relations to the statistical parameters of process data are presented.These relationships reveal the influence factors of the T 2 and SPE tests and give a definite description of the detection behavior of PCA.Based on these relationships process disturbances and faults can be distinguished,which make further fault diagnosis more reliable.The acquired results are illustrated and verified by monitoring of a simulated double-effective evaporator.

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