Minimum rotation partitioning for data analysis and its application to fault detection

Murat Yasar, Asok Ray, Harry G. Kwatny

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

1 Citation (Scopus)

Abstract

Symbolic dynamics provide a new set of tools for data analysis, fault detection and investigation of the dynamical systems. The main concept is partitioning the phase space into a finite number of non-overlapping segments that provide a low-dimensional representation of time series. By simplifying the dynamics this way, a novel method for nonlinear analysis of systems, including fault progression, can be constructed from observed data. This paper presents a novel space partitioning technique, referred as minimum rotation partitioning for the purpose of fault detection and quantification. The results obtained from a permanent magnet synchronous machine is presented as an example of fault detection and quantification.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 American Control Conference, ACC 2010
Pages5439-5444
Number of pages6
StatePublished - Oct 15 2010
Event2010 American Control Conference, ACC 2010 - Baltimore, MD, United States
Duration: Jun 30 2010Jul 2 2010

Publication series

NameProceedings of the 2010 American Control Conference, ACC 2010

Other

Other2010 American Control Conference, ACC 2010
CountryUnited States
CityBaltimore, MD
Period6/30/107/2/10

Fingerprint

Fault detection
Nonlinear analysis
Permanent magnets
Time series
Dynamical systems

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Yasar, M., Ray, A., & Kwatny, H. G. (2010). Minimum rotation partitioning for data analysis and its application to fault detection. In Proceedings of the 2010 American Control Conference, ACC 2010 (pp. 5439-5444). [5530853] (Proceedings of the 2010 American Control Conference, ACC 2010).
Yasar, Murat ; Ray, Asok ; Kwatny, Harry G. / Minimum rotation partitioning for data analysis and its application to fault detection. Proceedings of the 2010 American Control Conference, ACC 2010. 2010. pp. 5439-5444 (Proceedings of the 2010 American Control Conference, ACC 2010).
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Yasar, M, Ray, A & Kwatny, HG 2010, Minimum rotation partitioning for data analysis and its application to fault detection. in Proceedings of the 2010 American Control Conference, ACC 2010., 5530853, Proceedings of the 2010 American Control Conference, ACC 2010, pp. 5439-5444, 2010 American Control Conference, ACC 2010, Baltimore, MD, United States, 6/30/10.

Minimum rotation partitioning for data analysis and its application to fault detection. / Yasar, Murat; Ray, Asok; Kwatny, Harry G.

Proceedings of the 2010 American Control Conference, ACC 2010. 2010. p. 5439-5444 5530853 (Proceedings of the 2010 American Control Conference, ACC 2010).

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

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Yasar M, Ray A, Kwatny HG. Minimum rotation partitioning for data analysis and its application to fault detection. In Proceedings of the 2010 American Control Conference, ACC 2010. 2010. p. 5439-5444. 5530853. (Proceedings of the 2010 American Control Conference, ACC 2010).