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An event-based approach to integrated parametric and discrete fault diagnosis in hybrid systems

¹ University of California, Santa Cruz, NASA Ames Research Center, Moffett Field, CA, USA
² Institute for Software Integrated Systems, Dept. of EECS, Vanderbilt University, Nashville, TN, USA

^* To whom correspondence should be addressed. E-mail: matthew.j.daigle{at}nasa.gov.

	Abstract

Fault diagnosis is crucial for ensuring the safe operation of complex engineering systems. These systems often exhibit hybrid behaviours, therefore, model-based diagnosis methods have to be based on hybrid system models. Most previous work in hybrid systems diagnosis has focused either on parametric or discrete faults. In this paper, we develop an integrated approach for hybrid diagnosis of parametric and discrete faults by incorporating the effects of both types of faults into our event-based qualitative fault signature framework. The framework allows for systematic design of event-based diagnosers that facilitate diagnosability analysis. Experimental results from a case study performed on an electrical power distribution system demonstrate the effectiveness of the approach.

First published on September 7, 2009
Transactions of the Institute of Measurement and Control 2009, doi:10.1177/0142331208097840


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