单击此处编辑母版标题样式,单击此处编辑母版文本样式,第二级,第三级,第四级,第五级,*,V,ibration-based,Fault Diagnosis of Gearbox Using Fuzzy L,ogic,Technique,XiaoNing,Contents,Examples,The step,The calculate approach,Fuzzy logic technique,Introduction,1.Introduction,The conventional methods for processing,measured data contain the frequency domain,technique,time domain technique,and,time frequency domain technique.,These methods have been widely employed to detect gear failures,.,However,in many fault diagnosis process,the equipment failures of various faults and fault,symptoms were a number of reasons.,A failure symptoms may be caused by several different causes,and different reasons for the failure may produce the same failure symptoms,especially when several simultaneous failure symptoms,use more traditional methods of fault diagnosis appeared to be inadequate.,2.Fuzzy logic technique,Fuzzy logic diagnosis is to make use of fuzzy,mathematics method,，,using mathematical,formulas to describe the complex relationship,between the fault symptoms and the cause of,the malfunction.,And then according to the mathematical,approach to make a comprehensive reasoning,and ultimately get a more concrete results.,In order to diagnose the fault indication from,the cause of the malfunction,，,it must,pre-determine the degree of membership,between fault symptoms and the cause of the malfunction,Then to establish the fuzzy relationship matrix,and finally by calculating a conclusion.,3.The calculate approach,fault symptoms collection:,cause of the malfunction collection:,fuzzy logic matrix(according to membership,function):,The relationship between them is as follows:,According to the corresponding,algorithm formula,to calculate the statistical parameters of fault feature,Extracted the,features of,vibration,signals by the,experimental.,Separately set up the typical fault symptoms and the cause of the malfunction collection,.,4.The step of Fuzzy logic technique,Experimental,feature,extraction,Typical,fault,classification,calculate,descriptive,statistics,According to the membership,relations to set up fuzzy logic matrix,Determination,membership,relations between,fault symptoms and the cause of the malfunction collection.,According to the fuzzy logic diagnosis approach to calculated and come to the conclusion,.,Set up,Fuzzy,matrix,Come to,conclusion,Determination,membership,relations,5.Examples of the diagnosis process,Next,we will have a brief introduction of the calculate descriptive statistics of apply fuzzy logic techniques for fault diagnosis.,5.1 The specific content of the descriptive statistics,Descriptive,statistics,Standard deviation,Standard error,Sample variance,Skewness,Kurtosis,Range,Maximum value,Minimum value,Sum,5.2 Calculate approach of Several important descriptive statistics,Standard error is a measure of the amount of error in the prediction of y for an individual x in the regression,，,where x and y are the sample means and n is the sample size.,Standard error of the predicted,：,References:,1 N.Saravanan,S.Cholairajan,K.I.Ramachandran.Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique.Expert Systems with Applications 36(2021)31193135,2 CUI Xuan-meng.Research on application of fuzzy logic technology into petro l engine diagnosis.JOURNAL OF CHANGSHA COMMUNICATIONS UNIVERSITY1000-9779(2021)03-0081-03,Thank You!,