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

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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Bibliographic Details
Main Authors: Yumei Qi, Changqing Shen, Dong Wang, Juanjuan Shi, Xingxing Jiang, Zhongkui Zhu
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Sparse autoencoder
ensemble empirical mode decomposition
autoregressive model
fault diagnosis
Online Access:https://ieeexplore.ieee.org/document/7983338/

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