Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery

As a breakthrough in the field of machine fault diagnosis, deep learning has great potential to extract more abstract and discriminative features automatically without much prior knowledge compared with other methods, such as the signal processing and analysis-based methods and machine learning meth...

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Veröffentlicht in:IEEE access 2017-01, Vol.5, p.15066-15079
Hauptverfasser: Qi, Yumei, Shen, Changqing, Wang, Dong, Shi, Juanjuan, Jiang, Xingxing, Zhu, Zhongkui
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Sprache:eng
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