Fault Analysis Of Process System Using Multi Block Principal Component Analysis

License URL: http://creativecommons.org/licenses/by-nc/4.0
This research looks into the issues of the quality improvement based on process control instead of product control using multivariate statistical process contro. A deterministic model of a proton exchange membrane fuel cell (PEM-FC) power plant was used as a case study to represent a multi variable or mukti equipment system. A three-step approach is proposed which can be classified into fault detection, fault isolation, and faulr diagnosis. The fault detection and the isolation utilize the multivariate analysis and yhe contro chart method , which uses the series multi-block principal component analysis of extended of PCA method. The series block principal component abalysis is solved using the non linear iteration partial least squares (NIPALS) algorithm. The SB-PCA can advangeouly incorporate the control chart, namely, T2 Hotelling control chart. In the fault diagnosis chart, the normalized variable method was successfully applied in this study with promising results. As a conclution, the result of this study demonstrated the potentials of multivariate statistical process control in solving fault detection and diagnosis problem for multi variable and multi equipment system.
Keywords : statistical process control, principal component, fault analysis
Article Metrics:
Last update: 2021-02-26 06:47:55
Last update: 2021-02-26 06:47:56
License URL: http://creativecommons.org/licenses/by-nc/4.0
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Reaktor journal and Department of Chemical Engineering Diponegoro University as the journal publisher. Copyright encompasses exclusive rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms and any other similar reproductions, as well as translations. The reproduction of any part of this journal, its storage in databases and its transmission by any form or media, such as electronic, electrostatic and mechanical copies, photocopies, recordings, magnetic media, etc., will be allowed only with a written permission from Reaktor journal and Department of Chemical Engineering Diponegoro University.