|
DETECTION OF PROCESS MODEL CHANGE IN PLS BASED PERFORMANCE MONITORING
Sukhbinder Kumar, Elaine B. Martin and Julian Morris
Centre for Process Analytics & Control Technology
Merz Court, University of Newcastle
Newcastle Upon Tyne, NE1 7RU, England
The detection of process changes using a partial least squares (PLS) based monitoring scheme can be achieved through the interrogation of two metrics, Hotelling’s T2 and the Q-statistic. The Q-statistic has been shown to be insensitive to small changes in the process model parameters. In this paper, a modified statistic based on the local approach is proposed to detect changes in model parameters in a PLS based monitoring scheme. The performance of the more Q-statistic is compared with the modified statistic through their application to fault detection in a continuous stirred tank reactor. Copyright 2002 IFAC.
Keywords: - Fault detection; Process monitoring; Local Approach; Statistical analysis
Session slot T-Tu-E10: Fault Diagnosis Design II/Area code 7e : Fault Detection, Supervision and Safety of Technical Processes
 | 