Model-Based Quantitative Distributed Fault Diagnosis Using System Decomposition

This paper presents a model-based distributed fault diagnosis method to solve the problem of fault diagnosis in complex systems. In general, with increase of scale and scope of systems, the complexity of fault diagnosis will also increase. In order to address these problems, a system decomposition algorithm is used for model decomposition where the whole system is decomposed into several local subsystems. Based on the decomposition, fault diagnosis can be carried out locally for each subsystem, and the complexity of fault diagnosis in each subsystem can be reduced. Finally, the developed model-based distributed fault diagnosis is illustrated using a hybrid circuit system, and the simulation results show that the approach can efficiently accomplish the task of distributed fault diagnosis for complex systems.