Generalized Hebbian Algorithm for fault detection of CSTR model

Raoudha Baklouti, Majdi Mansouri, Mohamed Nounou, Zaineb Ben Messaoud, Ahmed Ben Hamida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

By applying Generalized Hebbian Algorithm (GHA), this work deals with the problem of on-line process monitoring for a continuously stirred tank reactor (CSTR) model using Principal Component Analysis (PCA) method. Diverse studies have shown the efficiency of PCA for fault detection. However, this method for a large number of samples, becomes difficult to directly solve the eigenvalue problem especially with a large number of samples, which make it not suitable in the cases of on-line process monitoring. In this paper, Iterated PCA have been proposed to alleviate the impact of this problem. This method uses GHA for optimizing the memory efficiency. The simulation results show the effectiveness of the IPCA method in terms of fault detection accuracies, false alarm rates for detection of single as well as multiple sensor faults through its two charts Q and Hotelling T2 statistics.

Original languageEnglish
Title of host publication2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages421-425
Number of pages5
ISBN (Electronic)9781467385268
DOIs
Publication statusPublished - 26 Jul 2016
Event2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016 - Monastir, Tunisia
Duration: 21 Mar 201624 Mar 2016

Other

Other2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016
CountryTunisia
CityMonastir
Period21/3/1624/3/16

Fingerprint

Fault detection
Principal component analysis
Process monitoring
Statistics
Data storage equipment
Sensors

Keywords

  • Continuously Stirred Tank Reactor
  • Fault Detection
  • Generalized Hebbian Algorithm
  • iterated Principal Component Analysis

ASJC Scopus subject areas

  • Signal Processing

Cite this

Baklouti, R., Mansouri, M., Nounou, M., Ben Messaoud, Z., & Ben Hamida, A. (2016). Generalized Hebbian Algorithm for fault detection of CSTR model. In 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016 (pp. 421-425). [7523127] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ATSIP.2016.7523127

Generalized Hebbian Algorithm for fault detection of CSTR model. / Baklouti, Raoudha; Mansouri, Majdi; Nounou, Mohamed; Ben Messaoud, Zaineb; Ben Hamida, Ahmed.

2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 421-425 7523127.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Baklouti, R, Mansouri, M, Nounou, M, Ben Messaoud, Z & Ben Hamida, A 2016, Generalized Hebbian Algorithm for fault detection of CSTR model. in 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016., 7523127, Institute of Electrical and Electronics Engineers Inc., pp. 421-425, 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016, Monastir, Tunisia, 21/3/16. https://doi.org/10.1109/ATSIP.2016.7523127
Baklouti R, Mansouri M, Nounou M, Ben Messaoud Z, Ben Hamida A. Generalized Hebbian Algorithm for fault detection of CSTR model. In 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 421-425. 7523127 https://doi.org/10.1109/ATSIP.2016.7523127
Baklouti, Raoudha ; Mansouri, Majdi ; Nounou, Mohamed ; Ben Messaoud, Zaineb ; Ben Hamida, Ahmed. / Generalized Hebbian Algorithm for fault detection of CSTR model. 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 421-425
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