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2018 | OriginalPaper | Chapter

Comparative Study of Fault Detection Algorithm Based on Multivariate Statistical Analysis

Author : Shuyu Zhang

Published in: Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017

Publisher: Springer Singapore

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Abstract

This paper has studied several methods based on multivariate statistical analysis, DPCA, CPCA, and MBPLS, which are all the extension of PCA, mainly introducing the principles and steps. At the same time, a method for determining the threshold in practice is proposed in this paper. Besides, we verify the effectiveness of the detection method by the data of train suspension system from simulation experiment. And then we make a comparative analysis of the results through the effect and time. According to the results, we can find it is obvious that CPCA and MBPLS are superior to DPCA in detecting faults.

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Literature
1.
Donghua Z, Gang L, Yuan L (2011) Data driven industrial process fault diagnosis technology. Science Press (in Chinese)
2.
Liu H (2013) Research on the fault diagnosis of urban rail vehicle suspension system. Beijing, China (in Chinese)
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Jiang CH, Zhou DH (2005) Fault detection and identification for uncertain linear time-delay systems. Comput Chem Eng 30:228–242CrossRef
4.
Wei Q (2014) Fault diagnosis of urban rail suspension system based on an experimental platform. Beijing, China (in Chinese)
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Wen B (2011) Study on fault detection and diagnosis based on principal component analysis. Nanjing, China (in Chinese)
6.
He Y (2014) Research on fault detection method based on multiblock PLS. Shenyang, China (in Chinese)
7.
Sang WC, Lee IB (2015) Multiblock PLS-based localized process diagnosis. J Process Control 15(3):295–306
8.
Wei X, Guo Y, Jia L, et al (2013) Fault detection of rail vehicle suspension system based on CPCA. In: Conference on control and fault-tolerant systems. IEEE 2013:700–705
Metadata
Title
Comparative Study of Fault Detection Algorithm Based on Multivariate Statistical Analysis
Author
Shuyu Zhang
Copyright Year
2018
Publisher
Springer Singapore
Book
Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017

Print ISBN: 978-981-10-7988-7

Electronic ISBN: 978-981-10-7989-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7989-4_37

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