摘要
对基于知识推理、人工神经网络、模糊逻辑、机器学习、模式识别诊断方法及其集成诊断技术进行了归纳和总结 ,提出了当前智能故障诊断技术的分类方法 .针对复杂系统和过程的特点 ,指出了当前智能故障诊断技术所面临的主要问题 ,并对解决这些问题和未来的发展进行了探讨 .
The key approaches of intelligent diagnosis technology are summarized in this paper, including knowledge-based reasoning, artificial neural networks, fuzzy logic, machine learning, pattern recognition and integrated approaches. A new classification method is presented. According to the characteristics of complex systems and process, essential problems with which intelligent fault diagnosis is confronted are presented, and the future research directions and solutions are discussed.
出处
《信息与控制》
CSCD
北大核心
2004年第1期56-60,共5页
Information and Control
