一个新的检测方案,用于发动机轴承结构缺陷在高速列车使用静止电流的电流
Qi Sun1, Juan Zhu2, Chunjun Chen3
1Institute of Applied Electronics, China Academy of Engineering Physics, Mianyang 621900, China.
本研究介绍了一种无传感器监测方案,用于使用定子电流的铁路引电机轴承 (RTMB). 这种新的方法提高了故障检测的准确性,为高速列车 (HST) 提供了更可靠的替代方案.
科学领域:
- 机械工程 机械工程
- 电气工程 电气工程
- 状态监控 状态监控
背景情况:
- 铁路引电机轴承 (RTMB) 对高速列车 (HST) 至关重要,但容易发生故障.
- 现有的监测系统存在高错误阳性率.
研究的目的:
- 引入一种新的无传感器监控方案,用于使用定子电流对RTMB进行监控.
- 提高RTMB中故障检测的准确性和效率.
主要方法:
- 一种混合信号预处理算法,结合了自适应隙过 (ANF) 和信封频谱分析 (ESA).
- 使用深度信念网络 (DBN) 来对健康状况进行分类.
- 在1:1级高速铁路引电机上进行实验验证.
主要成果:
- 在RTMB中的机械故障可以通过定子电流变化可靠地检测到.
- 拟议的无传感器方法实现了至少比基于振动的方法高出17.3%的故障检测精度.
- 与其他方法相比,开发的方案在诊断故障存在和类型方面表现出卓越的准确性 (至少比其他方法高8.9%).
结论:
- 这种新的无传感器监控方案有效地使用定子电流检测RTMB故障.
- 这种方法为当前的RTMB监控实践提供了更准确,更有效的替代方案.
- 该研究验证了用于RTMB状态监控的定子电流分析的可行性和有效性.
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