基于模糊神经网络的拖拉机使用可靠性评价

进行拖拉机故障跟踪试验,得到拖拉机现场使用的故障数据。基于模糊神经网络建立拖拉机使用可靠性的评价模型,以拖拉机故障跟踪数据为依据,给出拖拉机可靠性指标的观测值,并计算出相应的隶属度,得到拖拉机使用可靠性的评价结果。研究结果能为提高拖拉机可靠性、维修性和维修策略提供参考依据,同时对研究完善拖拉机可靠性评价方法奠定理论基础。

Evaluation of tractor reliability based on Fuzzy Neural Network

The data of engine failures about tractors 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 tractors' 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 tractors' reliability as well.