The present study deals with a new gear noise diagnosis system for automobile transmission units with an artificial intelligence; i.e., the neural net. In order to use this system, first of all, the system must be trained with teacher signals. This training process includes iterative calculations, so that the convergence in the training process is a very important issue. In the present paper, conditions were determined for the convergence. Then, the judgement performance of the developed system was discussed. As a result, the system can realize over 70% performance of noise evaluation experts.


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    Title :

    Gear Noise Diagnosis System For Automobile Transmission Using Artificial Intelligence (Convergence of Training Process)


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Automotive and Transportation Technology Congress and Exposition ; 2001



    Publication date :

    2001-10-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





    2001-01-3336 Gear Noise Diagnosis System For Automobile Transmission Using Artificial Intelligence (Convergence of Training Process)

    Moriwaki, I. / Mohamad, E. N. / Kawasaki, Y. et al. | British Library Conference Proceedings | 2001



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