Automatic fault detection using a model-based approach in the frequency domain

Zhanqun Shi, Andrew Higson, Lin Zheng, Fengshou Gu, Andrew Ball

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

Abstract

In this paper, the model-based approach is introduced into rotation machinery fault detection to achieve an automatic feature extraction. The paper starts with a brief review of the model-based approach, including model development, residual generation and fault detection and diagnosis. The applicability of this approach to rotation machinery is then considered. In order to overcome difficulties arising from phase shift and random measurements, the statistical performance of the vibration of rotation machinery is analysed in both time and frequency domains. A consistence model is developed using stochastic process theory. After model validation, the model-based approach is implemented in AC motor fault detection. The residual is generated by comparing the new measurement and the model prediction, by both subtraction and division. Fault detection results prove that the model-based approach is applicable to fault feature extraction for rotation machinery in the frequency domain.

Original languageEnglish
Title of host publicationProceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA 2006
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages849-855
Number of pages7
Volume2
ISBN (Print)0791837793, 9780791837795
DOIs
Publication statusPublished - 1 Dec 2006
Externally publishedYes
Event8th Biennial American Society of Mechanical Engineers Conference on Engineering Systems Design and Analysis - Torino, Italy
Duration: 4 Jul 20067 Jul 2006
Conference number: 8

Conference

Conference8th Biennial American Society of Mechanical Engineers Conference on Engineering Systems Design and Analysis
Abbreviated titleESDA 2006
CountryItaly
CityTorino
Period4/07/067/07/06

Fingerprint

Fault detection
Machinery
Feature extraction
AC motors
Random processes
Phase shift
Failure analysis

Cite this

Shi, Z., Higson, A., Zheng, L., Gu, F., & Ball, A. (2006). Automatic fault detection using a model-based approach in the frequency domain. In Proceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA 2006 (Vol. 2, pp. 849-855). [ESDA2006-95103] American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/ESDA2006-95103
Shi, Zhanqun ; Higson, Andrew ; Zheng, Lin ; Gu, Fengshou ; Ball, Andrew. / Automatic fault detection using a model-based approach in the frequency domain. Proceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA 2006. Vol. 2 American Society of Mechanical Engineers (ASME), 2006. pp. 849-855
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Shi, Z, Higson, A, Zheng, L, Gu, F & Ball, A 2006, Automatic fault detection using a model-based approach in the frequency domain. in Proceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA 2006. vol. 2, ESDA2006-95103, American Society of Mechanical Engineers (ASME), pp. 849-855, 8th Biennial American Society of Mechanical Engineers Conference on Engineering Systems Design and Analysis, Torino, Italy, 4/07/06. https://doi.org/10.1115/ESDA2006-95103

Automatic fault detection using a model-based approach in the frequency domain. / Shi, Zhanqun; Higson, Andrew; Zheng, Lin; Gu, Fengshou; Ball, Andrew.

Proceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA 2006. Vol. 2 American Society of Mechanical Engineers (ASME), 2006. p. 849-855 ESDA2006-95103.

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

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Shi Z, Higson A, Zheng L, Gu F, Ball A. Automatic fault detection using a model-based approach in the frequency domain. In Proceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA 2006. Vol. 2. American Society of Mechanical Engineers (ASME). 2006. p. 849-855. ESDA2006-95103 https://doi.org/10.1115/ESDA2006-95103