Based on the gear meshing theory and test data, an analysis method for early fault diagnosis of automotive drive axle is proposed. ARMA model is used to predict and analyze the gear vibration and fault trend. In this paper, the monitoring software of vehicle power transmission system based on ARMA prediction algorithm is designed, which is feasible and effective for the early failure diagnosis of vehicle driving bridge bench test.


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    Title :

    Application of ARMA Prediction Algorithm in Gear Fault Diagnosis of Automobile Drive Axle


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:

    Conference:

    International Conference on Frontier Computing ; 2021 ; Seoul, Korea (Republic of) July 13, 2021 - July 17, 2021


    Published in:

    Frontier Computing ; Chapter : 196 ; 1369-1374


    Publication date :

    2022-05-23


    Size :

    6 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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