电除尘器故障诊断专家系统推理机
Study on Inference Engine of Fault Diagnosis Expert System for Electrostatic Precipitator
田贺忠 1田新珊 1高香林 1王丰春2
作者信息
- 1. 华北电力大学环境工程系，河北保定 071003
- 2. 国家电力公司苏州热工研究所，江苏苏州 215004
- 折叠
摘要
在已建立的电除尘器故障诊断专家系统知识库的基础上，对电除尘器故障诊断专家系统的推理机制及搜索策略进行了较为深入的研究。采用精确反向推理机制建立了该专家系统的推理机，故障树的搜索采用启发式深度优先搜索策略。在TurboProlog专家系统语言环境下，进行了电除尘器故障诊断专家系统推理机的程序设计。
Abstract
In this paper, an inference engine of fault diagnosis expert system for electrostatic precipitator (ESP) is constructed using Turbo Prolog language. Backward reason mechanism is adopted in the inference procedure.And the deep-first principle is used in the searching method of the fault trees. The result of its test shows its rationality and reliability.
关键词
故障诊断/专家系统/推理机/搜索/电除尘器Key words
fault diagnosis/expert system/inference engine/search strategy/electrostatic preciptator引用本文复制引用
出版年
2000
NETL
NSTL
维普
万方数据