Integrating Model-Based Monitoring and Diagnosis of Complex Dynamic Systems

Abstract

In this paper we present a new approach to model-based monitoring and diagnosis of dynamic systems. We extend related research work which concentrates either on monitoring (i.e. fault detection) or on diagnosis (i.e. fault localization) and therefore misses important aspects of effective and efficient troubleshooting. The presented DIAMON algorithm) uses hierarchical models to monitor and diagnose dynamic systems. DIAMON is based on the integration of teleological parameter-based monitoring models and repair-oriented device-based diagnosis models. It combines consistency-based diagnosis with model-based monitoring and uses an extension of the QSIM-language for the representation of qualitative system models. Furthermore, DIAMON is able to detect and localize abroad range ofnon-permanent faults and thus extends traditional diagnosis which exclusively deals with permanent faulty behavior. The operation of DIAMON will be demonstrated on a real-world example in a multiple-faults scenario. 1DIAMON means DIAgnosis and MONitoring Algorithm I