摘要
针对时变工况风电机组齿轮箱振动信号受噪声干扰和频率模糊问题,通过研究无转速下风电机组齿轮箱振动信号与转频波动规律间的联系,提出了基于VMD⁃SET时变工况的风电机组齿轮箱无转速计阶次跟踪方法。该方法利用变分模态分解(VMD)滤波,利用同步提取变换(SET)对齿轮箱振动信号时频分析,分别从轴承故障时域振动信号中初步提取故障特征频率趋势,从正常齿轮啮合调制时域振动信号中提取啮合频率时频脊线,进一步利用精细化时频脊线交叉解耦优化瞬时频率提取效果,再用提取的转速曲线对轴承故障振动信号进行阶次跟踪,从角域阶次谱中得到故障特征阶次的单根谱线。通过仿真及实验验证了所提方法的优越性和有效性。
In view of the problem of noise interference and frequency ambiguity of vibration signal of wind turbine gearbox under time-varying conditions,the method of tacho-less order tracking for wind turbine gearbox based on time-varying conditions and VMD-SET is proposed,which is based on the exploration of the relationship between vibration signal of wind turbine gearbox and rotation frequency fluctuation law in the circumstance of tacho-less.In this method,firstly time-frequency analysis to vibration sig⁃nal of gearbox is processed using the method of SET(Synchroextracting Transform)after filtering by VMD(variational mode de⁃composition).And fault characteristic frequency trend is extracted preliminarily from bearing fault time domain vibration signal and time-frequency ridge lines of meshing frequency are also obtained from normal gear meshing modulation time domain vibration sig⁃nal.By fine time-frequency ridge lines cross decoupling,local instantaneous frequency extraction effect is optimized.Then the ex⁃tracted speed curve is used to track the order of the bearing fault vibration signal,and a single spectral line of the fault characteristic order is obtained from the order spectrum of the angular domain signal after order tracking.Simulations and experiments verify the superiority and effectiveness of the method proposed.
作者
万书亭
王燕杰
张雄
顾晓辉
WAN Shu-ting;WANG Yan-jie;ZHANG Xiong;GU Xiao-hui(Hebei Key Laboratory of Electric Machinery Health Maintenance&Failure Prevention,North China Electric Power Universi-ty,Baoding 071003,China;State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Struc-tures,Shijiazhuang Tiedao University,Shijiazhuang 050043,China)
出处
《振动工程学报》
EI
CSCD
北大核心
2023年第1期266-279,共14页
Journal of Vibration Engineering
基金
国家自然科学基金资助项目(52275109)
河北省自然科学基金资助项目(E2022502007)
省部共建交通工程结构力学行为与系统安全国家重点实验室开放基金资助项目(KF2020-28)。
关键词
故障诊断
风电机组齿轮箱
时变工况
无转速计
阶次跟踪
时频分析
fault diagnosis
wind turbine gearbox
time-varying conditions
tacho-less
order tracking
time-frequency analysis
