对风力轮机行星轮在可变旋转速度下的弱故障检测进行透辅助网格-顺序调制分析
Shaodan Zhi1, Hengshan Wu1, Haikuo Shen1
1Electronic and Control Engineering, School of Mechanical, Beijing Jiaotong University, Beijing 100091, China.
Entropy (Basel, Switzerland)
|May 24, 2024
概括
本研究介绍了一种以力辅助的网格顺序调制方法,用于有效检测风力轮轮设备故障. 该技术识别最佳频段,以揭示微妙的故障信息,提高运行安全.
科学领域:
- 机械工程 机械工程
- 状态监控 状态监控
- 信号处理 信号处理
背景情况:
- 风力轮机是关键的能源系统,需要严格的监控.
- 变速和弱故障挑战了传统的故障检测方法.
- 早期检测轮故障对于安全的风力轮机运行至关重要.
研究的目的:
- 提出一种用于检测风力轮机弱轮故障的新方法.
- 确定包含故障相关信息的最佳频段.
- 提高风力轮机状况监测策略的可靠性.
主要方法:
- 采用基于缩放的局部重新分配的Chirplet转换 (SLRCT) 进行可变旋转频率提取.
- 开发用于敏感频率区域定位的辅助网格顺序调制 (EMOM) 指示器.
- 根据EMOM指示器用于故障组件突出显示,应用订单跟踪和带宽过.
主要成果:
- 拟议的EMOM分析有效地突出了振动信号中的弱故障组件.
- 该方法在实验数据中成功检测出各种轮故障类型和水平.
- 能够准确地识别出最佳频段,用于弱故障检测.
结论:
- 辅助网格顺序调制方法为风力轮轮设备故障诊断提供了一个有前途的方法.
- 这种技术提高了在可变的操作条件下检测弱故障的灵敏度和准确性.
- 该方法显示了提高风力轮机运行的安全性和可靠性的巨大潜力.
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