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ROBUST DIAGNOSIS OF SWITCHING Sherif Abdelwahed Gabor Karsai Gautam Biswas
 

Summary: ROBUST DIAGNOSIS OF SWITCHING
SYSTEMS
Sherif Abdelwahed Gabor Karsai Gautam Biswas
Institute for Software Integrated Systems
Vanderbilt University
Nashville, TN, 37203
Abstract: This paper presents an approach for robust diagnosis of switching
systems based on an extended version of the timed failure propagation graph
model. The extended failure propagation graph model is a labeled graph used for
the representation of failure conditions and their propagation modeled as causal
relations with timing properties for a general class of systems with both time-
based and event-driven dynamics such as hybrid and discrete event systems. We
introduce the extended model and describe the structure and main components of
the failure detection and isolation system based on the proposed model.
Keywords: Failure diagnosis, Switching Hybrid Systems, Robust Diagnosis.
1. INTRODUCTION
Large engineering systems such as manufacturing
systems, power networks, and chemical plants are
usually designed for autonomous operation. Au-
tomatic failure diagnosis forms a necessary part

  

Source: Abdelwahed, Sherif - Department of Electrical Engineering and Computer Science, Vanderbilt University

 

Collections: Engineering