New hierarchical approach for multiple sensor fault detection and isolation. Application to an air quality monitoring network

Y. Tharrault, Mohamed-Faouzi Harkat, G. Mourot, J. Ragot

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

1 Citation (Scopus)

Abstract

Our work is devoted to the problem of multiple sensor fault detection and isolation using principal component analysis. Structured residuals are used for multiple fault isolation. These structured residuals are based on the principle of variable reconstruction. However, multiple fault isolation based on reconstruction approach leads to an explosion of the reconstruction combinations. Therefore instead of considering all the subsets of faulty variables, we determine the isolable multiple faults by removing the subsets of variables that have too high minimum fault amplitudes to ensure fault isolation. Unfortunately, in the case of a large number of variables, this scheme yet leads to an explosion of faulty scenarios to consider. An effective approach is to use multi-block reconstruction approach where the process variables are partitioned into several blocks. In the first step of this hierarchical approach, the goal is to isolate faulty blocks and then in the second step, from the faulty blocks, faulty variables have to be isolated. The proposed approach is successfully applied to multiple sensor fault detection and isolation of an air quality monitoring network.

Original languageEnglish
Title of host publication18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings
Pages1543-1548
Number of pages6
DOIs
Publication statusPublished - 29 Sep 2010
Externally publishedYes
Event18th Mediterranean Conference on Control and Automation, MED'10 - Marrakech, Morocco
Duration: 23 Jun 201025 Jun 2010

Other

Other18th Mediterranean Conference on Control and Automation, MED'10
CountryMorocco
CityMarrakech
Period23/6/1025/6/10

Fingerprint

Fault detection
Air quality
Explosions
Monitoring
Sensors
Principal component analysis

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Tharrault, Y., Harkat, M-F., Mourot, G., & Ragot, J. (2010). New hierarchical approach for multiple sensor fault detection and isolation. Application to an air quality monitoring network. In 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings (pp. 1543-1548). [5547830] https://doi.org/10.1109/MED.2010.5547830

New hierarchical approach for multiple sensor fault detection and isolation. Application to an air quality monitoring network. / Tharrault, Y.; Harkat, Mohamed-Faouzi; Mourot, G.; Ragot, J.

18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings. 2010. p. 1543-1548 5547830.

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

Tharrault, Y, Harkat, M-F, Mourot, G & Ragot, J 2010, New hierarchical approach for multiple sensor fault detection and isolation. Application to an air quality monitoring network. in 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings., 5547830, pp. 1543-1548, 18th Mediterranean Conference on Control and Automation, MED'10, Marrakech, Morocco, 23/6/10. https://doi.org/10.1109/MED.2010.5547830
Tharrault Y, Harkat M-F, Mourot G, Ragot J. New hierarchical approach for multiple sensor fault detection and isolation. Application to an air quality monitoring network. In 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings. 2010. p. 1543-1548. 5547830 https://doi.org/10.1109/MED.2010.5547830
Tharrault, Y. ; Harkat, Mohamed-Faouzi ; Mourot, G. ; Ragot, J. / New hierarchical approach for multiple sensor fault detection and isolation. Application to an air quality monitoring network. 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings. 2010. pp. 1543-1548
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