一种改进的EMD技术用于感应机器中破碎的旋转杆故障检测.
Md Shamsul Arifin1, Wilson Wang2, Mohammad Nasir Uddin1
1Department of Electrical and Computer Engineering, Lakehead University, GC Campus, Barrie, ON L4M 3X9, Canada.
本研究介绍了一种修改后的实证模式分解 (MEMD) 技术,用于检测感应机器 (IM) 中的断裂转子杆 (BRB) 故障. 通过使用电机电流签名分析,MEMD有效地识别了BRB故障,提高了工业安全和性能.
科学领域:
- 电气工程 电气工程
- 机械工程 机械工程
- 工业监控 工业监控 工业监控
背景情况:
- 感应机 (IM) 在工业应用中至关重要,早期检测诸如断裂的旋转杆 (BRB) 等缺陷对于防止性能下降和确保安全至关重要.
- BRB故障可能导致严重问题,包括过热,振动,声噪声和潜在的火花,需要可靠的检测方法.
研究的目的:
- 提出和验证一种经过修改的实证模式分解 (MEMD) 技术,用于在感应机器中准确检测断裂转子杆 (BRB) 故障.
- 使用电机电流签名分析 (MCSA) 与MEMD相结合,用于增强故障诊断.
主要方法:
- 开发基于传感器的智能数据采集 (DAQ) 系统,用于无线电流信号采集.
- 修改经验模式分解 (MEMD) 技术的应用,涉及基于相关性的IMF选择和自适应的光谱分析.
- 引入一种用于分析故障指数生成和严重性诊断的新型参考函数.
主要成果:
- 拟议的MEMD技术成功地识别了感应机器中的BRB故障.
- 实验验证证明了MEMD方法在故障检测和严重性评估中的有效性.
- 开发的DAQ系统促进了高效和无线的数据收集用于分析.
结论:
- 经过修改的实证模式分解 (MEMD) 技术为感应机器中断裂转子杆 (BRB) 故障检测提供了强大的和有效的解决方案.
- 将MEMD与电机电流特征分析集成为工业状态监测提供了一个强大的工具.
- 该研究强调了先进的信号处理技术在提高工业机械的可靠性和安全性方面的潜力.
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