Bond Graph has been used extensively in engineering applications for modeling and simulation of many kind of dynamical systems. Interaction between different domains can be explicitly expressed and cause-effect (causality) is well established by using this...
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Bond Graph has been used extensively in engineering applications for modeling and simulation of many kind of dynamical systems. Interaction between different domains can be explicitly expressed and cause-effect (causality) is well established by using this modeling tool. In this work, Bond Graph is employed for fault diagnosis in order to precisely find the fault on the system and at the same time, to well simulate the system dynamics. The methodology utilizes three principal stages (topographic search): causal graph, fault tree, and temporal causal graph. These stages are activated by qualitative values from the fault detection module when the fault appears. In order to obtain an effective fault diagnosis strategy, behavioral information about the parametric faults is employed for locating the specific fault.
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