Research On Compound Fault Diagnosis Of Rolling Bearing Of Wind Turbine Based On Deconvolution Method

Wind energy,as a typical representative of clean energy,has attracted wide attention.The wind turbine structure is complex and the working environment is bad,and the maintenance cost is higher when the fault occurs.As an important part of the transmission chain of wind turbines,rolling bearings play a supporting role in the safe and reliable operation of the whole equipment,and when the rolling bearings fail,many faults occur at the same time,and the fault characteristics become more complicated when the compound faults occur.Therefore,in order to reduce the operation and maintenance cost of wind turbines and improve the economic benefits of wind power industry,it is of great significance to study the compound fault diagnosis of rolling bearings of wind turbines,and it is a difficult problem to be solved urgently.In this paper,the compound fault of rolling bearing is taken as the research object,and the recovery of the original impact signal is realized by deconvolution method,the main research contents are as follows:(1)Aiming at the complex problem of compound fault characteristics of rolling bearings,which makes it difficult to extract the characteristics of compound faults,Maximum Correlate Kurtosis Deconvolution(MCKD)based on improvement and Teager energy operator combining the compound fault diagnosis method of rolling bearing is proposed.This method takes the experimental data of fault platform as the research object,optimizes the influence parameters(L and M)of MCKD under different fault types by particle swarm optimization algorithm(PSO),uses the optimized MCKD algorithm to process the compound fault signal,and then makes the Teager energy spectrum analysis of the separated signal.This method can effectively diagnose a single fault and the type of compound fault,but it has some interference to the recognition effect of rolling ball fault in the compound fault.(2)Aiming at the interference of the improved MCKD algorithm in the identification of ball faults,through thorough study based on MK-MOMEDA(multipoint kurtosis-multipoint optimal minimum deconvolution adjusted)and Teager energy operator combining a compound fault diagnosis method isproposed.The fault period is determined by solving the deconvolution multipoint kurtosis spectrum analysis,And then the cycle interval including the fault cycle is set,respectively,then the MOMEDA operation of the compound fault signal is done,the different fault characteristics are separated,and finally the Teager energy spectrum analysis is made for the separated signal.Through the actual data,it is proved that the method can not only diagnose each fault type from the inner ring and outer ring compound fault,but also successfully identify the ball fault from the compound fault existing in the ball fault.(3)The compound fault diagnosis method of MK-MOMEDA and Teager energy operator is applied to the real wind turbine bearing compound fault case,and the diagnosis results show that this method can effectively diagnose each fault type from the compound fault,and solve the problem that the actual wind turbine compound fault is difficult to diagnose.