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 Turbo Prolog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。
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.
出处
《华北电力大学学报(自然科学版)》
CAS
北大核心
2000年第2期87-91,共5页
Journal of North China Electric Power University:Natural Science Edition
关键词
故障诊断
专家系统
推理机
电除尘器
fault diagnosis
expert system
inference engine
search strategy
electrostatic preciptator