电动机联接性故障诊断方法及其应用

基金项目:

天地科技股份有限公司故障诊断专项基金项目（2014-TDGZZD-01）

详细信息

Connectivity fault diagnosis method of motor and its applicatio

1.
Beijing Tiandi Longyue Science and Technology Co., Ltd., Beijng 100013, China
2.
Gansu Scientific Research Institute of Security Production, Lanzhou 730000, China

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。
- 电动机故障 /
- 联接性故障 /
- 不对中 /
- 螺栓松动 /
- 基础刚度 /
- 经验模式分解
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.
- motor fault /
- connectivity fault /
- misalignment /
- looseness /
- base stiffness /
- empirical mode decompositio

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