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Gear Noise Diagnosis System For Automobile Transmission Using Artificial Intelligence (Convergence of Training Process)
Technical Paper
2001-01-3336
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
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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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.Also In
SAE 2001 Transactions Journal of Passenger Cars - Mechanical Systems
Number: V110-6; Published: 2002-09-15
Number: V110-6; Published: 2002-09-15
References
- Moriwaki I. Nishiyama M. An Application of Artificial Intelligence to Diagnosis of Gear Noise Proceedings of 4th World Congress on Gearing and Power Transmission 3 1999 1881 1893
- Moriwaki I. Nishiyama M. Gear Noise Diagnosis System for Automobile Transmission Using Artificial Intelligence (Improvement of Judgment Performance) Proceedings of 8th ASME International Power Transmission and Gearing Conference 2000
- Rumelheart D.E. Hinton G.E. Williams R.J. Learning Representation by Back Propagation Errors Nature 323 1986 533 536