使用波形变换和经验模式分解的感应机器中旋转器小间转换短路的高效故障检测
Attiq Ur Rehman1,2, Weidong Jiao3,4, Jianfeng Sun3,4
1School of Computer Science and Technology, Zhejiang Normal University, Jinhua 321004, China.
本研究提出了一种新方法,用于检测电气机器中的旋转机绕间回转短路. 波形变换和经验模式分解有效地识别了电流和扭矩数据中的故障标志.
科学领域:
- 电气工程 电气工程
- 错误诊断 错误诊断 错误诊断 错误诊断 错误诊断 错误诊断
- 信号处理 信号处理
背景情况:
- 在旋转的电气机器中,间转短路故障很常见.
- 早期检测对于防止灾难性故障和确保运营可靠性至关重要.
- 现有的方法可能缺乏灵敏度或需要复杂的信号分析.
研究的目的:
- 开发和验证一种新的方法,用于检测旋转绕的间转短路故障.
- 用波形变换和经验模式分解来进行故障分析.
- 评估该方法是否适用于现实应用,例如风力轮机.
主要方法:
- 创建了一个MATLAB/Simulink模型来模拟旋转机中的互转短路.
- 模拟涉及引入一个并行电阻来模拟故障条件.
- 转子和定子电流,以及电磁扭矩,使用波形变换和经验模式分解进行了分析.
主要成果:
- 三相电流中的不对称行为和电磁扭矩的波动表明存在故障.
- 波段转换有效地识别了短路产生的特征频率组件 (声波).
- 经验模式分解显示了在早期故障阶段内在模式函数的显著变化.
结论:
- 拟议的波形变换和实证模式分解技术可靠地检测互转短路故障.
- 该方法对早期故障发作敏感,并提供了明确的诊断指标.
- 该方法很简单,适合在风力轮机等系统中实际实施.
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