A nonparametric fault isolation approach through hybrid novelty score

Gulanbaier Tuerhong; Seoung Bum Kim

doi:10.1109/ISI.2011.5984094

A nonparametric fault isolation approach through hybrid novelty score

Gulanbaier Tuerhong, Seoung Bum Kim

School of Industrial Management Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Isolating the variable or set of variables responsible for an out-of-control signal is a challenging task in multivariate statistical process control. Several fault isolation approaches have been proposed. However, all assumed a multivariate normal distribution on the process data, an assumption that limits their applicability in many situations. In the present study we propose a nonparametric fault isolation approach based on a hybrid novelty score (HNS). A simulation study was conducted to examine the performance of our proposed HNS-based fault isolation approach, and its results were compared with both parametric and nonparametric T² decomposition approaches. The performance of our approach was superior in the simulation to either parametric or nonparametric T² decompositions. This was especially true in nonnormal situations.

Original language	English
Title of host publication	Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
Pages	261-266
Number of pages	6
DOIs	https://doi.org/10.1109/ISI.2011.5984094
Publication status	Published - 2011
Event	2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011 - Beijing, China Duration: 2011 Jul 10 → 2011 Jul 12

Publication series

Name	Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011

Other

Other	2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
Country/Territory	China
City	Beijing
Period	11/7/10 → 11/7/12

Keywords

Decomposition
Fault-isolation
Multivariate statistical process control
Nonparametric
Novelty score

ASJC Scopus subject areas

Artificial Intelligence
Information Systems

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10.1109/ISI.2011.5984094

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Tuerhong, G., & Kim, S. B. (2011). A nonparametric fault isolation approach through hybrid novelty score. In Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011 (pp. 261-266). [5984094] (Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011). https://doi.org/10.1109/ISI.2011.5984094

A nonparametric fault isolation approach through hybrid novelty score. / Tuerhong, Gulanbaier; Kim, Seoung Bum.

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011. 2011. p. 261-266 5984094 (Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tuerhong, G & Kim, SB 2011, A nonparametric fault isolation approach through hybrid novelty score. in Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011., 5984094, Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011, pp. 261-266, 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011, Beijing, China, 11/7/10. https://doi.org/10.1109/ISI.2011.5984094

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abstract = "Isolating the variable or set of variables responsible for an out-of-control signal is a challenging task in multivariate statistical process control. Several fault isolation approaches have been proposed. However, all assumed a multivariate normal distribution on the process data, an assumption that limits their applicability in many situations. In the present study we propose a nonparametric fault isolation approach based on a hybrid novelty score (HNS). A simulation study was conducted to examine the performance of our proposed HNS-based fault isolation approach, and its results were compared with both parametric and nonparametric T2 decomposition approaches. The performance of our approach was superior in the simulation to either parametric or nonparametric T2 decompositions. This was especially true in nonnormal situations.",

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A nonparametric fault isolation approach through hybrid novelty score

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Keywords

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