asynchronous motor fault diagnosis 异步电机故障诊断
In the end, the intelligent asynchronous motor fault diagnosis system combining information fusion with artificial network as well as expert knowledge system is presented.
最后，提出了综合信息融合技术、人工神经网络技术、专家系统知识的智能化异步电动机故障诊断系统。
The experimental result shows that the method can effectively be used to fault diagnosis of cage asynchronous traction motor on electric locomotive.
实验结果分析表明，该方法能够有效地应用于电力机车笼型异步牵引电机的故障诊断。
The transient numeric simulation and relevant experiments of stator winding inter-turn short circuit fault of asynchronous motor are conducted using multi-loop mathematic model.
基于多回路数学模型，对异步电动机定子绕组匝间短路故障瞬变过程做了数字仿真，并完成了相关物理实验。
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