A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

H Shao, H Jiang, H Zhao, F Wang - Mechanical Systems and Signal …, 2017 - Elsevier
The operation conditions of the rotating machinery are always complex and variable, which
makes it difficult to automatically and effectively capture the useful fault features from the …
被引用次数：629 相关文章

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

H Shao, H Jiang, H Zhao… - Mechanical Systems and …, 2017 - ui.adsabs.harvard.edu
The operation conditions of the rotating machinery are always complex and variable, which
makes it difficult to automatically and effectively capture the useful fault features from the …

[引用][C] A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

H Shao, H Jiang, H Zhao, F Wang - Mechanical Systems and Signal …, 2017 - cir.nii.ac.jp
A novel deep autoencoder feature learning method for rotating machinery fault diagnosis |
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォーム …

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

H Shao, H Jiang, H Zhao, F Wang - Mechanical Systems and Signal …, 2017 - infona.pl
The operation conditions of the rotating machinery are always complex and variable, which
makes it difficult to automatically and effectively capture the useful fault features from the …

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

H Shao, H Jiang, H Zhao, F Wang - Mechanical Systems and Signal …, 2017 - infona.pl
The operation conditions of the rotating machinery are always complex and variable, which
makes it difficult to automatically and effectively capture the useful fault features from the …