Artificial intelligence for fault diagnosis of rotating machinery: A review | |
Liu, Ruonan; Yang, Boyuan; Zio, Enrico; Chen, Xuefeng | |
刊名 | MECHANICAL SYSTEMS AND SIGNAL PROCESSING |
2018 | |
卷号 | 108页码:33-47 |
关键词 | Support vector machine k-Nearest neighbour Deep learning Naive Bayes Fault diagnosis Artificial intelligence Rotating machinery Artificial neural network |
ISSN号 | 0888-3270 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2917976 |
专题 | 西安交通大学 |
推荐引用方式 GB/T 7714 | Liu, Ruonan,Yang, Boyuan,Zio, Enrico,et al. Artificial intelligence for fault diagnosis of rotating machinery: A review[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2018,108:33-47. |
APA | Liu, Ruonan,Yang, Boyuan,Zio, Enrico,&Chen, Xuefeng.(2018).Artificial intelligence for fault diagnosis of rotating machinery: A review.MECHANICAL SYSTEMS AND SIGNAL PROCESSING,108,33-47. |
MLA | Liu, Ruonan,et al."Artificial intelligence for fault diagnosis of rotating machinery: A review".MECHANICAL SYSTEMS AND SIGNAL PROCESSING 108(2018):33-47. |
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