摘要
鉴于废旧零部件损伤状况及其再制造质量要求的差异性导致再制造工艺方案具有不确定性和模糊性,为确定最优再制造工艺方案,在对废旧零部件再制造工艺过程特征问题进行描述的基础上,建立了再制造工艺方案优化决策模型;提出一种基于改进T-S模糊神经网络的再制造工艺方案决策方法,并对该模型进行了求解。将所提出的方法应用到某机床厂废旧机床主轴再制造中,运用MATLAB编程实现了再制造工艺方案的优化决策,并通过与传统模糊神经网络方法进行性能对比,验证了所提出方法的有效性。
Due to the various damage conditions of used components and different quality requirements for reconditioning operations,the remanufacturing process plans would be uncertain and fuzzy.To ensure the optimal remanufacturing process plan,a decision-making problem model was established based on describing the features inherent in remanufacturing process,and a modified Takagi-Sugeno Fuzzy Neural Network（T-S FNN）method was introduced to obtain the optimal decision-making model of remanufacturing process plan.The method was applied in the remanufacturing process planning of a machine tool plant＇s waste machine tool spindle to analyze its performance with Matlab programming,and the effectiveness was verified by comparing with the traditional FNN method.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2016年第3期728-737,共10页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(51305470
51475059)
中央高校基本科研业务费资助项目(CDJZR12110076)~~
关键词
再制造
工艺方案
决策方法
T-S模糊神经网络
remanufacturing
process plan
decision-making method
takagi-sugeno fuzzy neural network
