An adaptive regression adjusted monitoring and fault isolation scheme

作者：Liu Hancong; Jiang We; Tangirala Arun; Shah Sirish^*

来源：Journal of Chemometrics, 2006, 20(6-7): 280-293.

DOI：10.1002/cem.1020

• process monitoring
• fault detection and diagnosis
• multivariate statistical methods

A new method is proposed in this work to detect and isolate faults in a system consisting of multivariate normal data. The proposed method reduces the variable dimension via a V decomposition and combines multivariate monitoring and diagnosis in a unified approach. An adaptive regression adjusted (ARA) chart is introduced to utilize the diagnosis result in order to improve the monitoring scheme. Once an out-of-control alarm is detected, the fault isolation can be done directly.

• 出版日期2006-7