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| 摘要: |
| 基于LabVIEW的小波包分析和能量检测应用于电器中交流电磁机构故障诊断在时域范围内，故障振动信号幅值虽有变化，但难以确定电器中交流电磁机构故障类型和程度。建立“能量比值－故障”的电磁机构故障辨识系统，即构造能量比值和电磁机构故障的映射关系，用小波包对振动信号分解与重构，获得振动信号的突变信息及与电磁机构故障相关的特征信息．试验结果可以看出该方法能有效地判断交流电磁机构故障类型和程度． |
| 关键词: 交流电磁机构 小波包 能量 |
| DOI： |
| 分类号:TP206.3 |
| 基金项目:江苏省南通市工业科技创新计划 |
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| Fault diagnosis of alternating electromagnetic machine in apparatus |
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SHEN Shen-sheng YANG Yi
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| Abstract: |
| LabVIEW-based wavelet packet analysis and energy measuring is used to diagnose faults of alternating electromagnetic machines in apparatus.Although the amplitude of the defective vibra-tion signal changes in time domain,the fault type and degree of the alternating electromagnetic machine cannot be determined.A fault identification system based on energy ratio and fault type for the electromagnetic machine is brought forward,which constructs the mapping relationship between energy ratio and fault type.By using the wavelet packet,the vibration signal is decomposed and re-constructed to achieve its abrupt change information and the associated fault character information.The experimental results show that the proposed method is effective to diagnose the fault type and degree of alternating electromagnetic machine. |
| Key words: LabVIEW |
