苏州科技学院学报：自然科学版2012，Vol.29Issue(1)：57-60,4.
基于模糊概率Petri网的故障诊断建模与分析
Modeling and analysis of fault diagnosis based on fuzzy probability petri net
张炜 1纪金水1
作者信息
- 1. 西北民族大学数学与计算机科学学院,甘肃兰州730030
- 折叠
摘要
Abstract
In order to filtrate some unnecessary information in fault diagnosis reasoning process, we have studied the fuzzy probability Petri net （FPPN） for fault diagnosis. Via colligating experiment knowledge of experts the paper used the probability of every event in the reasoning process and presented the forward, reverse and mixed reasoning methods based on state equation. An example of railway turnout system fault diagnosis indicates that the modeling and analysis methods based on FPPN are feasible. The result shows that they can filter unnecessary information better than those based on FPN and that the reasoning process embodies man＇s thinking.关键词
模糊概率Petri网/故障诊断/建模/分析Key words
fuzzy probability Petri net/fault diagnosis/modeling/analysis分类
计算机与自动化引用本文复制引用
张炜,纪金水..基于模糊概率Petri网的故障诊断建模与分析[J].苏州科技学院学报：自然科学版,2012,29(1):57-60,4.
