摘要
提出一种基于神经网络的模糊Petri网模型(NNFPN),并将该模型应用于电梯故障诊断系统.阐述了该模型的定义、模糊产生式规则的NNFPN表示、NNFPN的触发规则以及NNFPN的训练学习算法.分析了如何建立基于NNFPN的电梯故障诊断模型,提出针对不同工作状态利用不同的NNFPN电梯故障模型进行诊断,可使诊断结果更加准确.
A kind of fuzzy petri net model used in fault diagnosis of the elevator system based on neural network is proposed. The definition of this model, the NNFPN presentation of the fuzzy production rule, the burst rule of NNFPN, and the learning algorithm of NNFPN are addressed. The way to establish the NNFPN model of the elevator fault diagnosis system is analyzed. It is pointed out that, to elevators in different condition, the different NNFPN model should be used to do fault diagnosis. Thus the reasoning result could be more accurate and even match actual circumstance.
出处
《控制与决策》
EI
CSCD
北大核心
2005年第3期341-344,共4页
Control and Decision
基金
天津市重点科技攻关项目(013107211).