最后，通过实例的AC电机故障诊断的研究显示该方法的有效性。

Finally, an example of ac motor fault diagnosis is studied to show the validity of the approach.

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二是利用基于粒子群算法(PSO)优化的BP神经网络进行异步电机故障诊断。

Another is to examine faults of asynchronous Motors in terms of BP neural network based on Particle Swarm Optimization (PSO).

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该系统软件采用模块化的C语言和汇编语言混合编程，显著提高了异步电机故障诊断的实时性和准确性。

Modular mixture programming of C language arid assemble language is adopted in the system software, which greatly improves real-time properties and accuracy of fault diagnosis of asynchronous motor.

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