Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96984
Title: Mode tracking and diagnosis of hybrid systems, an integrated approach
Authors: Arogeti, Shai A.
Levy, Rami
Wang, Danwei
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Levy, R., Arogeti, S. A., & Wang, D. (2012). Mode tracking and diagnosis of hybrid systems, an integrated approach.2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), 1226-1231.
Abstract: In this paper, we integrate information from a hybrid bond graph (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.
URI: https://hdl.handle.net/10356/96984
http://hdl.handle.net/10220/11773
DOI: 10.1109/ICARCV.2012.6485350
Rights: © 2012 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.