摘要
在传统的变压器故障诊断专家系统的基础上 ,引入粗糙集理论以解决专家系统较难获取完备知识的瓶颈问题。该系统从历史故障数据所形成的决策表出发 ,运用粗糙集理论进行约简 ,构建专家系统知识库模型。通过计算规则隶属粗糙度 ,来表示诊断规则的置信程度。利用推理机和故障事例库 ,实现对知识库的动态维护。
Based on the analysis of the traditional expert system for fault diagnosis of transformer,in order to resolve the bottleneck problem of obtaining complete knowledge of expert system,a new expert system based on the rough set is proposed.From the decision table defined by history fault data,we reduce the decision table in rough set theory and build the knowledge base model of expert system.The belief degree of diagnosis rules is determined by calculating the rough subjection degree of reasoning rule.The knowledge base is maintained through reasoning and fault database.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2005年第1期93-96,共4页
Chinese Journal of Scientific Instrument
基金
浙江省自然科学基金 (2 0 0 2 60 2 0 0 7)资助项目
