Fault Diagnosis of the Three-phase Asynchronous Motor Bond Graph Model Based on Bond Graph and Temporal Causal Graph

Author:

He Feng,Wang Junnian,Yu Wenxin,Zhong Guangan

Abstract

Abstract The bond graph and temporal causal graph (TCG) are proposed to diagnose the fault of three-phase asynchronous motors. The bond graph model of the three-phase asynchronous motor is constructed using the general equations in the three-phase coordinate system. The analytical redundancy relationships (ARRs) and fault signature matrix (FSM) of the three-phase asynchronous motor are derived systematically by introducing TCG to improve the system fault isolability. Simulation experiments are conducted for the rotor-turn short-circuit fault and the rotor-break bar fault of the three-phase asynchronous motor. The experimental results show that introducing TCG for fault diagnosis in this model is feasible.

Publisher

IOP Publishing

Subject

Computer Science Applications,History,Education

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