期刊文献+

大型双馈风力发电机振动特性分析与故障诊断 被引量:8

Analysis of Vibration Characteristics and Failure Diagnosis in Large Type Double Fed Wind Generator
下载PDF
导出
摘要 本文分析了大型双馈式风力发电机组中双馈感应发电机(DFIG)轴承的振动特性,对发电机轴承进行了载荷分析,并计算出发电机轴承几种典型的故障特征频率。利用先进的振动传感器对轴承进行了振动测试,根据采集到的振动频谱准确的定位了故障点,为早期发现、处理发电机振动故障提供了理论依据和诊断方法。 This paper has analyzed the vibration characteristics of the bearing of Doubly Fed Induction Generator (DFIG) in large type double-fed wind generator unit. The load analysis is carried out on motor bearing and several typical failures' characteristic frequencies of wind generator bearing are calculated. The vibration measurement is carried out on bearing by the advanced vibration sensors and the failure points are located accurately according to the collected vibration spectrum. It has provided theoretical basis and diagnosis method for early detection and treatment for vibration failure in wind generator.
出处 《风机技术》 2012年第4期56-59,共4页 Chinese Journal of Turbomachinery
关键词 双馈风力发电机 轴承失效 振动特性 Doubly Fed Induction Generator (DFIG) bearing failure vibration characteristics
  • 相关文献

参考文献4

二级参考文献12

共引文献55

同被引文献46

  • 1谢凤,刘熔,胡建强.润滑脂的安定性[J].合成润滑材料,2006,33(3):33-37. 被引量:9
  • 2BurtonT.风能技术[M].北京:科学出版社,2007,9.
  • 3沈标正.电机故障诊断技术[M].北京:机械工业出版社出版,2005.
  • 4陈高曙,曾庆宁.基于LLE算法的人脸识别方法[J].计算机应用研究,2007,24(10):176-177. 被引量:12
  • 5董宵.转子系统不对中故障的振动特性分析与实验研究[D].沈阳:东北大学机械工程与自动化学院,2010.
  • 6潘文超.果蝇优化算法[M].台湾:沧海书局,2011.
  • 7Burges C J C. A tutorial on support vectormachines for pattern recognition[J]. DataMining and Knowledge Discovery, 1998, 2 (2): 121-167.
  • 8Wen-Tsao Pan. A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example [J].Knowledge-Based Systems, 2012, 26:69-74.
  • 9赵丽基.基于粒子群算法神经网络的多重化整流电路智能故障诊断[D].中南大学,2008.
  • 10Dorigo M, Maniezzo V, Colorni A. Ant system optimization by acolony of cooperating agents[J]. IEEE Transactions on System, Man and Cybernetics-Part B: Cybernetics, 1996,26(1): 29-41.

引证文献8

二级引证文献33

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部