Research on the Application of Fuzzy Neural Network in the Automobile Reliability

Abstract:

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The data of engine failures about automobile operating in field conditions was collected by running engine failure tracking tests. An evaluative model was established using the theory of Fuzzy Neural Network (FNN) for the automobile “using reliability, based on the data of failures about automobiles, finally, the evaluative result for the automobile” using reliability was obtained by evaluative model of reliability. The result of research can be used as references for the improvement of reliability and maintainability of automobile engines, and for the establishment of maintenance strategy, and it also laid a theoretical foundation for studying the improvement of evaluation method for the automobiles' reliability as well.

Info:

Periodical:

Edited by:

Dunwen Zuo, Hun Guo, Hongli Xu, Chun Su, Chunjie Liu and Weidong Jin

Pages:

77-81

DOI:

10.4028/www.scientific.net/AMR.136.77

Citation:

Y. Z. Men "Research on the Application of Fuzzy Neural Network in the Automobile Reliability", Advanced Materials Research, Vol. 136, pp. 77-81, 2010

Online since:

October 2010

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$35.00

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