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在线远程风机故障诊断系统的研究开发
引用本文:薄其明,杨克. 在线远程风机故障诊断系统的研究开发[J]. 宁夏电力, 2013, 0(5): 30-33
作者姓名:薄其明  杨克
作者单位:中国华电集团公司宁夏分公司,宁夏银川750002
摘    要:针对风电场机组布置分散、机舱位置高等原因导致风电机组安全检查不到位,早期故障难以发现的问题,应用现代振动分析诊断技术,基于Windows系统平台,开发了在线远程风机故障诊断系统。应用结果表明:在线远程诊断风机故障系统可在风机发生故障早期发现隐患,为评价设备状态、判断设备故障提供科学依据,提高了风电场的运行效益。

关 键 词:风电机组  远程诊断  频谱分析  小波分析

Development of the online remote failure diagnosis system for wind turbine
BO Qiming,YANG Ke. Development of the online remote failure diagnosis system for wind turbine[J]. Ningxia Electric Power, 2013, 0(5): 30-33
Authors:BO Qiming  YANG Ke
Affiliation:(China Huadian Group Company, Ningxia Branch, Yinchuan Ningxia 750002, China)
Abstract:The dispersive arrangement and the high position of the cabin of the wind turbines in wind farm lead to the troubles of security inspection and hardly discovering the early faults. Aiming at the above problems, using libration analysis and diagnosis technology and based on Windows plat- form, develops the online remote failure diagnosis system for wind turbine. The application result shows that online remote failure diagnosis system for wind turbine can discover hidden troubles of wind turbine in the early stages of faults, provide scientific basis for the equipment condition evalua- tion and the equipment failures judgement, and improve the operation benefits of the wind farm.
Keywords:wind turbine generating set  remote diagnosis  spectrum analysis  small wave analysis
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