摘要
介绍了用关系型数据库开发平台Ｆｏｘｐｒｏ构造的电站电气设备故障诊断专家系统．系统以关系数据来组织反映故障现象特征的规则知识，用数据优化查询技术实现知识推理，据模糊理论表示规则和推理的不确定性．最后以实例证明了系统的正确性、实用性和可靠性．
This thesis presents an expert system on diagnosing electrical faults in power station, which is developed in database language — Foxpro. Using relational data to organize rule knowledge mirrored the appearance and essence of faults, optimum query to perform rule based inference, fuzzy theory to describe the uncertain rules and inference. Then, its practicability, correctness and reliability are proved.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
1998年第6期68-73,共6页
Journal of Southeast University：Natural Science Edition
