断层(地质)
故障覆盖率
断层模型
故障指示器
陷入故障
人工智能
工程类
故障树分析
人工神经网络
作者
Zhiwei Gao,Carlo Cecati,Steven X. Ding
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2015-04-01
卷期号:62 (6): 3768-3774
被引量:475
标识
DOI:10.1109/tie.2015.2419013
摘要
This is the second-part paper of the survey on fault diagnosis and fault-tolerant techniques, where fault diagnosis methods and applications are overviewed, respectively, from the knowledge-based and hybrid/active viewpoints. With the aid of the first-part survey paper, the second-part review paper completes a whole overview on fault diagnosis techniques and their applications. Comments on the advantages and constraints of various diagnosis techniques, including model-based, signal-based, knowledge-based, and hybrid/active diagnosis techniques, are also given. An overlook on the future development of fault diagnosis is presented.
科研通智能强力驱动
Strongly Powered by AbleSci AI