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  HomeContents of Chinese Journal of Mechanical Engineering (English Edition),1995 No.4APPLYING REGRESSION AND STOCHASTIC TIME SERIES ANALYSIS TO THE PREDICTION OF PITTING FATIGUE LIFE FOR GEARS
APPLYING REGRESSION AND STOCHASTIC TIME SERIES ANALYSIS TO THE PREDICTION OF PITTING

 FATIGUE LIFE FOR GEARS*

 

Meng Jinxian  Zhu Xiaolu
Beijing University of Science and Technology

 

Abstract: Based upon the methods for the calculation of load capacity of involute cylindrical gears (ISO/DIS6336), the new method system that can be adapted for applying condition is found by applying regression analysis and stochastic time series analysis to the prediction of pitting life for the gears, the function is established between pitting area and revolving period of gear, the theoretical model is advanced for prediction the pitting fatigue life of gear, the problem is solved for obtaining the applying model by establishing the residue model, the method is put forward the model about predicting pitting fatigue life of gear with damaged condition under middle/low speed and heavy duty.

Key words: Gear  Pitting fatigue life  Prediction


* This project is supported by State Key Lab. of Mechanical Transmission Chongqing University. Manuscript received on July 2, 1994

 

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