Integrating Model-Based Monitoring and Diagnosis of Complex Dynamic Systems

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 a broad range of non-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 . 1 DIAMON means DIAgnosis and MONitoring Algorithm