Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features

标题
Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features
作者
关键词
Compressed sensing, Sparse over-complete representations, Deep neural network, Sparse autoencoder, Bearing fault classification, Machine condition monitoring
出版物
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 99, Issue -, Pages 459-477
出版商
Elsevier BV
发表日期
2017-07-05
DOI
10.1016/j.ymssp.2017.06.027

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