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工程设计学报
工程设计学报  2021, Vol. 28 Issue (2): 163-169    DOI: 10.3785/j.issn.1006-754X.2021.00.023
保质设计     
风电齿轮箱磨损状态静电在线监测方法研究
刘舒沁1, 刘若晨1, 孙见忠2, 张进武1
1.江苏理工学院 汽车与交通工程学院， 江苏 常州 213001
2.南京航空航天大学 民航学院， 江苏 南京 211106
Research on on-line electrostatic monitoring method for wear state of wind turbine gearbox
LIU Shu-qin1, LIU Ruo-chen1, SUN Jian-zhong2, ZHANG Jin-wu1
1.School of Automobile and Traffic Engineering， Jiangsu University of Technology， Changzhou 213001， China
2.College of Civil Aviation， Nanjing University of Aeronautics and Astronautics， Nanjing 211106， China
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摘要： 风电齿轮箱的结构复杂且运行环境恶劣，是风电机组中故障率最高的部件，其性能直接影响风电机组的稳定性和安全性，严重时可能会造成财产损失甚至人员伤亡。为此，基于静电监测原理，采用多个静电传感器对风电齿轮箱摩擦磨损产生的二次效应同时进行监测；基于提取到的时域特征参数和复杂度度量参数，运用移动窗局部离群因子（moving window local outlier factor，MWLOF）算法分别对负荷试验和破坏试验中风电齿轮箱磨损状态的静电监测信号的变化趋势进行分析。结果表明：在负荷试验中，静电监测方法可在部分故障发生前提前监测到风电齿轮箱早期的性能退化；在破坏试验中，静电监测方法比振动监测方法提前200~1 000个样本点监测到风电齿轮箱的故障。研究表明，静电监测方法作为一种新型的状态监测技术，能够有效提高对风电齿轮箱磨损状态的监测能力，可对其早期故障的产生作出较准确的预警，这可为大型设备关键部件的状态监测提供参考。
Abstract: Due to the complex structure and bad operating environment, the wind turbine gearbox is a component with the highest failure rate in the wind turbine. Its performance directly affects the stability and safety of the wind turbine, and it may cause property loss or even casualties in serious cases. Therefore, based on the principle of electrostatic monitoring, a number of electrostatic sensors were used to simultaneously monitor the secondary effect of the friction and wear of the wind turbine gearbox; based on the extracted time-domain characteristic parameters and complexity measurement parameters, the MWLOF (moving window local outlier factor) algorithm was used to analyze the variation trend of electrostatic signals of the wear state of the wind turbine gearbox in the load test and damage test. The results showed that in the load test, the electrostatic monitoring method had detected the early performance degradation of the wind turbine gearbox before some faults occurred; in the damage test, the electrostatic monitoring method detected the faults of wind turbine gearbox by 200-1 000 sample points earlier than the vibration monitoring method. The research shows that as a new condition monitoring technology, the electrostatic monitoring method can effectively improve the ability to monitor the wear state of wind turbine gearboxes and make a relatively accurate early the occurrence of early faults, which can provide a reference for the state monitoring of key parts of large equipment.
收稿日期: 2020-09-22 出版日期: 2021-04-28
:  U 270.7  
基金资助: 国家自然科学基金资助项目（51705221）；常州市科技支撑项目（CE20175027）；江苏理工学院研究生实践创新计划项目（XSJCX20_44）；江苏省政府留学奖学金资助项目
通讯作者: 刘若晨（1989—），男，江苏常州人，副教授，博士，从事智能传感技术、机电设备寿命预测与健康管理研究，E-mail:liuruochen_nuaa@163.com，https://orcid.org/0000-0003-0533-6390     E-mail: liuruochen_nuaa@163.com
作者简介: 刘舒沁（1995—），女，江苏南通人，硕士生，从事状态监测技术研究，E-mail:liushuqin_lsq@163.com；
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引用本文:

刘舒沁, 刘若晨, 孙见忠, 张进武. 风电齿轮箱磨损状态静电在线监测方法研究[J]. 工程设计学报, 2021, 28(2): 163-169.

LIU Shu-qin, LIU Ruo-chen, SUN Jian-zhong, ZHANG Jin-wu. Research on on-line electrostatic monitoring method for wear state of wind turbine gearbox. Chinese Journal of Engineering Design, 2021, 28(2): 163-169.

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https://www.zjujournals.com/gcsjxb/CN/10.3785/j.issn.1006-754X.2021.00.023    或    https://www.zjujournals.com/gcsjxb/CN/Y2021/V28/I2/163

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