基于BP网络的异步电机转子断条故障的自动识别方法
A New Method for Automatically Diagnosing Broken-bar Fault of Rotor of Asynchronous Motor Based on BP Network
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摘要: 提出了一种以扩展Park矢量方法为故障特征提取手段、利用BP网络的模式识别功能自动诊断异步电机转子断条故障的新方法。该方法消除了故障信号中基频成分对断条故障特征分量的“湮没”影响,同时实现了故障的自动识别,免去了人为介入。故障诊断实例表明:该方法具有良好的有效性和准确性。Abstract: A new method for automatically diagnosing broken-bar fault of rotor of asynchronous motor was proposed in the paper,which taking extended Park’s vector approach to pick up the fault(characte)-(ristics) and using BP network to recognize the mode of fault.When the method was applied, hiding effect of foundational frequency in fault characteristic was removed,and artificial interference was avoided.The(results) of practical example indicated that the method has good effectiveness and accuracy.
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Key words:
- asynchronous motor /
- broken-bar fault of rotor /
- automatic dagnosing /
- BP neural network /
- Park vector
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