Fault modeling for monitoring and diagnosis of sensor-rich hybrid systems

10 July 2003

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 1, 793-801
https://doi.org/10.1109/cdc.2001.980203

Abstract

This paper presents a framework for modeling faults in hybrid systems that leads to an efficient approach for monitoring and diagnosis of real-time embedded systems. We describe a fault parameterization based on hybrid automata models and consider both abrupt failures and gradual degradation of system components. Our approach also addresses the computational problem of coping with large amount of sensor data by using a discrete event model of the system so as to focus distributed signal analysis on when and where to look for signatures of interest. The approach has been demonstrated for the online diagnosis of a hybrid system, the Xerox DC265 printer.

Keywords

FAULT DIAGNOSIS
CONDITION MONITORING
REAL TIME SYSTEMS
EMBEDDED SYSTEM
AUTOMATA
DEGRADATION
DISTRIBUTED COMPUTING
SENSOR SYSTEMS
SIGNAL ANALYSIS
PRINTERS

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