基于光谱分析技术的风机齿轮箱系统维护策略研究
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摘要
风机齿轮箱中轴承和齿面的磨损是齿轮箱最常见的累积故障,当齿轮箱中的系统部件的累积磨损达到一定量时就会严重威胁到整个风电机组的正常运行,甚至大大降低其使用寿命。基于光谱分析技术对风机齿轮箱进行维护策略的研究,依据设备的不同累积磨损情况建立3种不同维护方式下的齿轮箱的维护策略,基于概率模型建立齿轮箱系统的时间成本模型,以最少维护时间成本为优化目标,利用蒙泰卡罗方法模拟设备随机衰退过程对巡检周期进行仿真,仿真结果表明提出的方案可行且有效。
The wear of bearing and gear surface is the most common cumulative failure of wind gearbox,which will seriously threaten the normal operation of the whole wind turbine,and even greatly reduce its service life when the cumulative wear of wind gearbox reaches a certain amount. The maintenance strategy of wind turbine was studied based on the spectrum analysis technology. The maintenance strategies were established according to the different cumulative wear of each device and based on the operation and maintenance criteria of wind turbine gearbox system. The time cost model of gearbox systems was established based on probability model. With the minimum maintenance time cost as the optimization goal,the Monte Carlo method was used to simulate the random degradation process of the equipment. The simulation shows that method is feasible and effective.
The wear of bearing and gear surface is the most common cumulative failure of wind gearbox,which will seriously threaten the normal operation of the whole wind turbine,and even greatly reduce its service life when the cumulative wear of wind gearbox reaches a certain amount. The maintenance strategy of wind turbine was studied based on the spectrum analysis technology. The maintenance strategies were established according to the different cumulative wear of each device and based on the operation and maintenance criteria of wind turbine gearbox system. The time cost model of gearbox systems was established based on probability model. With the minimum maintenance time cost as the optimization goal,the Monte Carlo method was used to simulate the random degradation process of the equipment. The simulation shows that method is feasible and effective.
引文
[1]姚兴佳,田德.风力发电机组设计与制造[M].北京:机械工业出版社,2012.
[2]张伟,李向阳,张树忠.MW级风机齿轮箱故障模拟实验台设计[J].机床与液压,2017,45(2):9-11.ZHANG W,LI X Y,ZHANG S Z.Design of fault simulation test bench for MW grade wind turbine gearbox[J].Machine Tool&Hydraulics,2017,45(2):9-11.
[3]朱兆聚,李方义,贾秀杰,等.基于油液监测技术的推土机变速箱故障诊断[J].润滑与密封,2014,39(7):83-87.ZHU Z J,LI F Y,JIA X J,et al.Fault diagnosis of bulldozer gearbox based on oil monitoring technology[J].Lubrication Engineering,2014,39(7):83-87.
[4]杨其明,严新平,贺石中.油液监测分析现场实用技术[M].北京:机械工业出版社,2006.
[5]米林,封泠雨,谭伟.风电齿轮箱在线监测系统方案设计[J].重庆理工大学学报(自然科学),2016(2):109-113.MI L,FENG L Y,TAN W.Project design of on-line condition monitoring system of wind turbine gearbox[J].Journal of Chongqing University of Technology(Natural Science),2016(2):109-113.
[6]张建,李艳军,曹愈远,等.免疫支持向量机用于航空发动机磨损故障诊断[J].北京航空航天大学学报,2017,43(7):1419-1425.ZHANG J,LI Y J,CAO Y Y,et al.Immune SVM used in wear fault diagnosis of aircraft engine[J].Journal of Beijing University of Aeronautics and Astronautics,2017,43(7):1419-1425.
[7]刘燕,李世其,董颖辉,等.油液监测诊断系统的知识发现方法研究[J].机械科学与技术,2010,29(4):524-527.LIU Y,LI S Q,DONG Y H,et al.An intelligent maintenance system based on oil monitoring[J].Mechanical Science and Technology for Aerospace Engineering,2010,29(4):524-527.
[8]王杰华.基于BP神经网络的离心油泵故障诊断研究[D].天津:河北工程大学,2013.
[9]陈闽杰,钟龙风,贺石中.风电机组的润滑磨损状态监测与视情维护[C]//全国青年摩擦学与表面工程学术会议.北京:中国机械工程学会2011.
[10]李韶辉,付集新,张冶.船舶机械油液检测光谱分析的特征参数研究[J].润滑与密封,2004,29(6):1125-1127.LI S H,FU J X,ZHANG Y.Study on the characteristic parameter of oil spectrometric analysis[J].Lubrication Engineering,2004,29(6):1125-1127.
[11]徐超,张培林,任国全,等.基于油液原子光谱多维时间序列模型的机械磨损状态监测研究[J].光谱学与光谱分析,2010,30(11):2902-2905.XU C,ZHANG P L,REN G Q.Research on monitoring mechanical wear state based on oil spectrum multi-dimensional time series model[J].Spectroscopy and Spectral Analysis,2010,30(11):2902-2905.
[12]梁培沛,孙玉彬,陈铁,等.风电机组齿轮箱油液监测典型案例分析[J].润滑与密封,2016,41(4):141-145.LIANG P P,SUN Y B,CHEN T,et al.Typical cases of oilmonitoring for gearbox of wind turbine[J].Lubrication engineering,2016,41(4):141-145.
[13]符杨,李学武,黄玲玲.基于时间延迟理论的海上风电机组不定期检修策略[J].电力系统自动化,2016,40(15):133-140.FU Y,LI X W,HUANG L L.Irregular maintenance strategy for offshore wind turbines based on time-delay theory[J].Automation of Electric Power Systens,2016,40(15):133-140.
[14]孟晓亮.油液监测技术在大型养路机械设备管理中的应用[J].铁路采购与物流,2015(1):28-29.MENG X L.The application of oil monitoring technology in the equipment management of large maintenance machinery[J].Railway Purchasing and Logistics,2015(1):28-29.
[2]张伟,李向阳,张树忠.MW级风机齿轮箱故障模拟实验台设计[J].机床与液压,2017,45(2):9-11.ZHANG W,LI X Y,ZHANG S Z.Design of fault simulation test bench for MW grade wind turbine gearbox[J].Machine Tool&Hydraulics,2017,45(2):9-11.
[3]朱兆聚,李方义,贾秀杰,等.基于油液监测技术的推土机变速箱故障诊断[J].润滑与密封,2014,39(7):83-87.ZHU Z J,LI F Y,JIA X J,et al.Fault diagnosis of bulldozer gearbox based on oil monitoring technology[J].Lubrication Engineering,2014,39(7):83-87.
[4]杨其明,严新平,贺石中.油液监测分析现场实用技术[M].北京:机械工业出版社,2006.
[5]米林,封泠雨,谭伟.风电齿轮箱在线监测系统方案设计[J].重庆理工大学学报(自然科学),2016(2):109-113.MI L,FENG L Y,TAN W.Project design of on-line condition monitoring system of wind turbine gearbox[J].Journal of Chongqing University of Technology(Natural Science),2016(2):109-113.
[6]张建,李艳军,曹愈远,等.免疫支持向量机用于航空发动机磨损故障诊断[J].北京航空航天大学学报,2017,43(7):1419-1425.ZHANG J,LI Y J,CAO Y Y,et al.Immune SVM used in wear fault diagnosis of aircraft engine[J].Journal of Beijing University of Aeronautics and Astronautics,2017,43(7):1419-1425.
[7]刘燕,李世其,董颖辉,等.油液监测诊断系统的知识发现方法研究[J].机械科学与技术,2010,29(4):524-527.LIU Y,LI S Q,DONG Y H,et al.An intelligent maintenance system based on oil monitoring[J].Mechanical Science and Technology for Aerospace Engineering,2010,29(4):524-527.
[8]王杰华.基于BP神经网络的离心油泵故障诊断研究[D].天津:河北工程大学,2013.
[9]陈闽杰,钟龙风,贺石中.风电机组的润滑磨损状态监测与视情维护[C]//全国青年摩擦学与表面工程学术会议.北京:中国机械工程学会2011.
[10]李韶辉,付集新,张冶.船舶机械油液检测光谱分析的特征参数研究[J].润滑与密封,2004,29(6):1125-1127.LI S H,FU J X,ZHANG Y.Study on the characteristic parameter of oil spectrometric analysis[J].Lubrication Engineering,2004,29(6):1125-1127.
[11]徐超,张培林,任国全,等.基于油液原子光谱多维时间序列模型的机械磨损状态监测研究[J].光谱学与光谱分析,2010,30(11):2902-2905.XU C,ZHANG P L,REN G Q.Research on monitoring mechanical wear state based on oil spectrum multi-dimensional time series model[J].Spectroscopy and Spectral Analysis,2010,30(11):2902-2905.
[12]梁培沛,孙玉彬,陈铁,等.风电机组齿轮箱油液监测典型案例分析[J].润滑与密封,2016,41(4):141-145.LIANG P P,SUN Y B,CHEN T,et al.Typical cases of oilmonitoring for gearbox of wind turbine[J].Lubrication engineering,2016,41(4):141-145.
[13]符杨,李学武,黄玲玲.基于时间延迟理论的海上风电机组不定期检修策略[J].电力系统自动化,2016,40(15):133-140.FU Y,LI X W,HUANG L L.Irregular maintenance strategy for offshore wind turbines based on time-delay theory[J].Automation of Electric Power Systens,2016,40(15):133-140.
[14]孟晓亮.油液监测技术在大型养路机械设备管理中的应用[J].铁路采购与物流,2015(1):28-29.MENG X L.The application of oil monitoring technology in the equipment management of large maintenance machinery[J].Railway Purchasing and Logistics,2015(1):28-29.