Mode tracking and diagnosis of hybrid systems, an integrated approach

Rami Levy; Shai Arogeti; Danwei Wang

doi:10.1109/ICARCV.2012.6485350

Mode tracking and diagnosis of hybrid systems, an integrated approach

Rami Levy
, Shai Arogeti
, Danwei Wang

Department of Mechanical Engineering

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

Abstract

In this paper, we integrate information from a hybrid bond agraph (HBG) model and discrete event systems (DES) into a fault diagnosis method for hybrid systems. In a pure HBG framework, mode change detection and isolation is handled by the mode change signature and the mode change signature matrix. In a DES approach, discrete states and faults are traced based on observable events and diagnosers. The integration of the two approaches is based on a new diagnoser that is driven by both, observable events and consistency indicators generated by continuous residuals. The proposed method allows not only to effectively trace the system mode, but also to decide whether this mode is faulty or normal. The new method is presented along with a theoretical example.

Original language	English
Title of host publication	2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
Publisher	Institute of Electrical and Electronics Engineers
Pages	1226-1231
Number of pages	6
ISBN (Print)	9781467318716
DOIs	https://doi.org/10.1109/ICARCV.2012.6485350
State	Published - 1 Jan 2012
Event	12th International Conference on Control Automation Robotics and Vision, ICARCV 2012 - Guangzhou, China Duration: 5 Dec 2012 → 7 Dec 2012

Publication series

Name	2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012

Conference

Conference	12th International Conference on Control Automation Robotics and Vision, ICARCV 2012
Country/Territory	China
City	Guangzhou
Period	5/12/12 → 7/12/12

ASJC Scopus subject areas

Artificial Intelligence
Computer Vision and Pattern Recognition
Human-Computer Interaction
Control and Systems Engineering

Access to Document

10.1109/ICARCV.2012.6485350

Cite this

Levy, R., Arogeti, S., & Wang, D. (2012). Mode tracking and diagnosis of hybrid systems, an integrated approach. In 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012 (pp. 1226-1231). Article 6485350 (2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICARCV.2012.6485350

Levy, Rami ; Arogeti, Shai ; Wang, Danwei. / Mode tracking and diagnosis of hybrid systems, an integrated approach. 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012. Institute of Electrical and Electronics Engineers, 2012. pp. 1226-1231 (2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012).

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title = "Mode tracking and diagnosis of hybrid systems, an integrated approach",

abstract = "In this paper, we integrate information from a hybrid bond agraph (HBG) model and discrete event systems (DES) into a fault diagnosis method for hybrid systems. In a pure HBG framework, mode change detection and isolation is handled by the mode change signature and the mode change signature matrix. In a DES approach, discrete states and faults are traced based on observable events and diagnosers. The integration of the two approaches is based on a new diagnoser that is driven by both, observable events and consistency indicators generated by continuous residuals. The proposed method allows not only to effectively trace the system mode, but also to decide whether this mode is faulty or normal. The new method is presented along with a theoretical example.",

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Levy, R, Arogeti, S & Wang, D 2012, Mode tracking and diagnosis of hybrid systems, an integrated approach. in 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012., 6485350, 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012, Institute of Electrical and Electronics Engineers, pp. 1226-1231, 12th International Conference on Control Automation Robotics and Vision, ICARCV 2012, Guangzhou, China, 5/12/12. https://doi.org/10.1109/ICARCV.2012.6485350

Mode tracking and diagnosis of hybrid systems, an integrated approach. / Levy, Rami; Arogeti, Shai; Wang, Danwei.
2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012. Institute of Electrical and Electronics Engineers, 2012. p. 1226-1231 6485350 (2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012).

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

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N2 - In this paper, we integrate information from a hybrid bond agraph (HBG) model and discrete event systems (DES) into a fault diagnosis method for hybrid systems. In a pure HBG framework, mode change detection and isolation is handled by the mode change signature and the mode change signature matrix. In a DES approach, discrete states and faults are traced based on observable events and diagnosers. The integration of the two approaches is based on a new diagnoser that is driven by both, observable events and consistency indicators generated by continuous residuals. The proposed method allows not only to effectively trace the system mode, but also to decide whether this mode is faulty or normal. The new method is presented along with a theoretical example.

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Levy R, Arogeti S, Wang D. Mode tracking and diagnosis of hybrid systems, an integrated approach. In 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012. Institute of Electrical and Electronics Engineers. 2012. p. 1226-1231. 6485350. (2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012). doi: 10.1109/ICARCV.2012.6485350

Mode tracking and diagnosis of hybrid systems, an integrated approach

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