基于小波-能量谱分析的风电机组齿轮箱故障诊断方法研究  

Research on Fault Diagnosis of Wind Turbine Gearbox Based on Wavelet and Energy Spectrum

作　　者：陈捷[1] 孙炎平[1] 邓春[2,3] 白恺[2,3] 潘裕斌[1] 马越[1] 杨伟新[2,3] 亢涵彬 Chen jie Sun Yanping Deng Chun Bai Kai Pan Yubin Ma Yue Yang Weixin Kang Hanbin(School of Mechanical and Power Engineering of Nanjing Technology University, Nanjing 210009, China State Grid Wind-Solar-Energy Storage Generation Laboratory, Beijing 100045, China State Grid Jibei Electric Power Co. Ltd. Research Institute,North China Electric Power Research Institute Co. Ltd., Beijing 100045 ,China Zhangjiakou Wind,Photovohaie and Energy Storage Demonstration Station Co. Ltd.,Zhangjiakou 075000,China)

机构地区：[1]南京工业大学机械学院,江苏南京210009 [2]国家电网公司风光储联合发电运行技术实验室,北京100045 [3]国网冀北电力有限公司电力科学研究院(华北电力科学研究院有限责任公司),北京100045 [4]国网新源张家口风光储示范电站有限公司,河北张家口075000

出　　处：《华北电力技术》2017年第3期53-58,共6页North China Electric Power

基　　金：国家科技支撑计划(2015BAA06B03)资助

摘　　要：风电齿轮箱结构和工作条件特殊,使其故障机制复杂。为此提出了一种基于小波分解和能量谱相结合的风电齿轮箱故障诊断方法。首先是齿轮箱振动信号进行时域特征分析,观察特征参数的变化趋势,然后对变化特征最明显的振动信号进行功率谱分析,进行故障定位,最后结合小波能量谱对齿轮箱进行故障诊断。通过风电齿轮箱的故障实例,能准确地诊断出其故障形式和位置,说明该方法具有一定的工程意义。A diagnosis method based on wavelet decomposition and energy spectrum was proposed due to the complex failure mechanism caused by the particular mechanical structure and special working conditions. First, the character- istics in time domain of vibration signal of gearbox were analyzed and the change trend of characteristic parameters were observed, then vibration signal whose characteristics vary most significantly is analyzed to locate fault by energy spectrum. Finally, the fault diagnosis of the wind turbine gearbox was conducted by the utilization of wavelet energy spectrum. The fault form and location could be diagnosed accurately by the fault example of the wind turbine gear- box ,which shows the proposed method is valuable for engineering.

关 键 词：风电齿轮箱 小波能量谱 故障诊断 

分 类 号：TM315[电气工程—电机]