|
Abstract
|
Article Information:
Failure Diagnosis of Transmission Based on Improving Neural Network
Mo Lian-Guang and Xie Zheng
Corresponding Author: Mo Lian-Guang
Submitted: March 15, 2012
Accepted: April 08, 2012
Published: October 15, 2012 |
Abstract:
|
In view of the deficiencies like slow learning pace and local extremes of neural network in failure
diagnosis, the method of using fuzzy algorithm to pre-teat the input of neural network by means of fuzziness
and the output by anti-fuzziness has been proposed. The thesis will establish a knowledge base for common
failure of automatic transmission first, pre-treat failure symptom by fuzziness then and do sample training and
system simulation to Matlab software used at last. The result of the system simulation proves that the method
has the characteristics like high diagnosis precision, superior self-adaptability, fast convergence and effective
diagnosis of uncertain failure of automatic transmission.
Key words: Automatic transmission, failure diagnosis, fuzzy neural network, , , ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
Mo Lian-Guang and Xie Zheng, . Failure Diagnosis of Transmission Based on Improving Neural Network. Research Journal of Applied Sciences, Engineering and Technology, (20): 4093-4097.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
