一项对几个增强能源运营商进行的比较研究,用于振动激发器轴承故障诊断
Yan Wang1,2, Min Ye3, Jiabo Li1
1Xi'an Key Laboratory of Wellbore Integrity Evaluation, Xi'an Shiyou University, Xi'an, 710065, China.
Scientific reports
|December 29, 2024
概括
振动激发器中的滚动轴承在冲击负载下发生故障. 增强的能源运营商在噪音条件下提高了故障检测,MSDAEO显示出用于轴承诊断的最佳噪声稳定性.
科学领域:
- 机械工程 机械工程
- 振动分析 振动分析
- 错误诊断 错误诊断 在
背景情况:
- 振动激发器中的滚动轴承容易因冲击负载而发生故障.
- 高的操作噪音和振动掩盖了关键轴承故障标志.
- 像Teager-Kaiser能量运算器这样的现有方法在杂的环境中缺乏稳定性.
研究的目的:
- 为了比较三个新型增强能源运营商在轴承故障诊断方面的性能.
- 评估它们在重噪声和干扰下提取弱断层特征的有效性.
- 在不同的场景中,为这些运营商确定最佳的预处理方法.
主要方法:
- 对三个增强能源运营商进行理论分析:SHAEO,MSDAEO和SHFWEO.
- 使用振动激发器轴承故障诊断的实验验证.
- 对噪声强度,信号与干扰比率 (SIR) 和信号与噪声比率 (SNR) 的改进进行比较研究.
主要成果:
- MSDAEO 显示出优越的噪声稳定性,但SIR 改进最小.
- SHFWEO提供了最好的SIR改进,但对信号能量敏感.
- SHAEO增加了信号幅度,并提供了适度的SIR改进,SNR增强最弱.
结论:
- 能源运营商的选择取决于关于噪音,SIR和SNR的具体应用需求.
- MSDAEO是高噪音环境的理想选择,而SHFWEO则在提高信号清晰度方面表现出色.
- SHAEO提供了一个平衡,并结合预处理策略可以进一步优化故障诊断.
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