Gear Noise Diagnosis System For Automobile Transmission Using Artificial Intelligence (Convergence of Training Process) 2001-01-3336
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.
Citation: Moriwaki, I., Mohamad, E., and Kawasaki, Y., "Gear Noise Diagnosis System For Automobile Transmission Using Artificial Intelligence (Convergence of Training Process)," SAE Technical Paper 2001-01-3336, 2001, https://doi.org/10.4271/2001-01-3336. Download Citation
Author(s):
Ichiro Moriwaki, Edzrol Niza Mohamad, Yoshiki Kawasaki
Affiliated:
Kyoto Institute of Technology, Isuzu Motors Limited
Pages: 10
Event:
Automotive and Transportation Technology Congress and Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
ATTCE 2001 Proceedings Volume 2 - Powertrain and Heat Transfer/Exchange-P-368, SAE 2001 Transactions Journal of Passenger Cars - Mechanical Systems-V110-6
Related Topics:
Artificial intelligence (AI)
Education and training
Transmissions
Noise
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