实验调查基于实时奇点的故障诊断方法,用于基于五相PMSG的潮电流应用
Zhuo Liu1, Azeddine Houari2, Mohamed Machmoum2
1IREENA Laboratory, University of Nantes, 37 Boulevard de L'université BP 406, 44602 Saint-Nazaire, France; Department of Electrical Automation, Shanghai Maritime University, 1550 Haigang Ave, 201306 Shanghai, PR China.
ISA transactions
|September 11, 2023
概括
一种新的故障诊断方法提高了五相永磁同步发电机在潮电流应用中的可靠性. 这种基于奇点的方法提供了对开放电路故障的强大和快速检测.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 错误诊断 错误诊断 错误诊断 是一个
背景情况:
- 潮流能量转换依赖于强大的发电机系统.
- 五相永磁同步发电机 (PMSGs) 对潮能源至关重要.
- 可靠的故障诊断对于运营连续性和安全至关重要.
研究的目的:
- 开发一种新的基于实时奇点的故障诊断方法,用于潮电流应用中的五相PMSG.
- 提高故障检测算法的稳定性和适应性.
- 为了快速准确地定位电气故障.
主要方法:
- 使用二次过器用于奇点签名提取的直角信号发生器的实现.
- 开发一种指标增强方法,使用适应性值来改进故障检测.
- 缺陷定位是通过对相流的两倍平均运算实现的.
- 与经典的平均电流矢量方法进行比较分析.
主要成果:
- 提出的基于奇点的方法在检测单个和多个开放电路故障方面表现出卓越的性能.
- 观察到增强了对扭矩和转速变化的强度.
- 该方法在小型潮电流仿真平台上的实验验证中被证明是有效的.
- 实现了快速检测和定位故障.
结论:
- 这种基于奇点的新型故障诊断方法对潮电流系统中的五相PMSG非常有效.
- 该方法在简单性,速度和稳定性方面提供了显著的优势.
- 这种方法有助于提高潮发电的可靠性和效率.
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