Connectivity fault diagnosis method of motor and its applicatio
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摘要: 针对电动机联接性故障特征识别困难的问题，阐述了不对中故障、联接螺栓松动故障、基础刚度不足故障这3种典型电动机联接性故障的数学模型及其频谱特征，提出了利用经验模式分解方法对电动机的振动信号进行滤波处理，根据故障特征频率得出诊断结果。现场应用结果验证了该方法的有效性。Abstract: In view of problem that connectivity fault feature of motor was identified difficultly, on the basis of mathematic models and spectrum characteristic of motor connectivity faults represented by misalignment, looseness and base stiffness, empirical mode decomposition method was proposed to process vibration signal of motor. Diagnosis result is gotten according to fault feature frequency. The field application results verify effectiveness of the method.
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Key words:
- motor fault /
- connectivity fault /
- misalignment /
- looseness /
- base stiffness /
- empirical mode decompositio
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