摘要
目的 研究故障诊断专家系统的模糊推理算法 .方法 将正常推理和臆测推理中多种情况分开处理 ,采用反向符号推理和正向数字推理相结合的方法 ,并利用模糊理论设计证据输入接口 .结果 提出了一种故障诊断模糊综合推理算法 ,开发了 FMS故障诊断专家系统 .结论 理论分析及应用表明 ,该算法在故障诊断领域具有通用性和高效性 .
Aim To study the synthetic fuzzy algorithm applied in fault diagnosis expert system. Methods According to many cases in the normal inference and conjecture inference, the method combining the back symbol inference and forward digital inference was adopted. The input interface of evidence was designed using the fuzzy theory. Results A synthetic fuzzy inference algorithm for fault diagnosis expert system was advanced, and the FMS fault diagnosis expert system was developed. Conclusion By the analysis of theory and application, the fault diagnosis algorithm has the characteristic of universality, completeness and high efficiency in the fault diagnosis field.
出处
《北京理工大学学报》
EI
CAS
CSCD
1999年第6期701-704,共4页
Transactions of Beijing Institute of Technology
关键词
故障诊断
模糊反向推理
专家系统
模糊推理
fault diagnosis
fuzzy back symbol inference
fuzzy forward digital inference
input interface of evidence
