Research on the Application of Fuzzy Neural Network in the Tobacco Heights Department of Tractor Reliability

Abstract:

The data of engine failures about tobacco Heights Department of tractor 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 tractor ' using reliability, based on the data of failures about tractors, the observed values of the reliability standards were made out and the degree of subordination was figured out, finally, the evaluative result for the tractors ' 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 tractor engines, and for the establishment of maintenance strategy, and it also lay a theoretical foundation for studying the improvement of evaluation method for the tobacco Heights Department of tractor ' reliability as well.

• Periodical: Applied Mechanics and Materials (Volumes 152-154)
• Pages: 1899-1903
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.152-154.1899
• Online since: January 2012
• Authors: Yan Zhong Men, De Tang Zou
• Keywords: Fuzzy Neural Network (FNN), Reliability, Tractor

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