Conference proceeding
Detection of process model changes in pca based performance monitoring
Proceedings of the American Control Conference, Vol.4, pp.2719-2724
2002 ACC : American control conference (Anchorage AK, 8-10 May 2002)
2002
DOI: 10.1109/ACC.2002.1025198
Abstract
The detection of process changes through a principal component analysis based monitoring scheme can be achieved through the interrogation of two metrics, Hotelling's T/sup 2/ 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 principal component analysis monitoring scheme. The performance of the more traditional Q-statistic is compared with the modified statistic through their application to fault detection in a continuous stiffed tank reactor.
Details
- Title: Subtitle
- Detection of process model changes in pca based performance monitoring
- Creators
- Sukhbinder Kumar - NelElaine B Martin - Centre for Process Analytics & Control Technol., Newcastle upon Tyne Univ., UKJulian Morris - NelAmerican Control Conference
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the American Control Conference, Vol.4, pp.2719-2724
- Conference
- 2002 ACC : American control conference (Anchorage AK, 8-10 May 2002)
- Publisher
- IEEE
- DOI
- 10.1109/ACC.2002.1025198
- ISSN
- 0743-1619
- eISSN
- 2378-5861
- Language
- English
- Date published
- 2002
- Academic Unit
- Neurosurgery
- Record Identifier
- 9984304030302771
Metrics
1 Record Views