Fault Detection and Diagnosis Based on Modified Independent Component Analysis

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

406 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)3501-3514
Journal / PublicationAICHE Journal
Volume52
Issue number10
Online published14 Sept 2006
Publication statusPublished - Oct 2006
Externally publishedYes

Abstract

A novel multivariate statistical process monitoring (MSPM) method based on modified independent component analysis (ICA) is proposed. ICA is a multivariate statistical tool to extract statistically independent components from observed data, which has drawn considerable attention in research fields such as neural networks, signal processing, and blind source separation. In this article, some drawbacks of the original ICA algorithm are analyzed and a modified ICA algorithm is developed for the purpose of MSPM. The basic idea of the approach is to use the modified ICA to extract some dominant independent components from normal operating process data and to combine them with statistical process monitoring techniques. Variable contribution plots to the monitoring statistics (T 2 and SPE) are also developed for fault diagnosis. The proposed monitoring method is applied to fault detection and diagnosis in a wastewater treatment process, the Tennessee Eastman process, and a semiconductor etch process and is compared with conventional PCA monitoring methods. The monitoring results clearly illustrate the superiority of the proposed method. © 2006 American Institute of Chemical Engineers.

Research Area(s)

  • Fault detection, Fault diagnosis, Independent component analysis, Principal component analysis, Process monitoring

Citation Format(s)

Fault Detection and Diagnosis Based on Modified Independent Component Analysis. / Lee, Jong-Min; Qin, S. Joe; Lee, In-Beum.
In: AICHE Journal, Vol. 52, No. 10, 10.2006, p. 3501-3514.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review