Unsupervised rotating machinery fault diagnosis method based on integrated SAE–DBN and a binary processor
作者： Jialin Li , Xueyi Li , David He , Yongzhi Qu
DOI: 10.1007/S10845-020-01543-8
关键词: Bearing (navigation) 、 Binary number 、 Artificial intelligence 、 Deep learning 、 Fault (power engineering) 、 Process (computing) 、 Computer science 、 Pattern recognition 、 Domain (software engineering) 、 Deep belief network 、 Autoencoder
摘要: … Finally, the support vector machine (SVM) was used for bearing fault detection. In order to overcome the shortcomings of shallow structure, Yu et al. (2019) proposed a hierarchical …
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