A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnosis
Joint Authors
Han, Baokun
Bao, Huaiqian
Liu, Guifang
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Machinery fault diagnosis is pretty vital in modern manufacturing industry since an early detection can avoid some dangerous situations.
Among various diagnosis methods, data-driven approaches are gaining popularity with the widespread development of data analysis techniques.
In this research, an effective deep learning method known as stacked autoencoders (SAEs) is proposed to solve gearbox fault diagnosis.
The proposed method can directly extract salient features from frequency-domain signals and eliminate the exhausted use of handcrafted features.
Furthermore, to reduce the overfitting problem in training process and improve the performance for small training set, dropout technique and ReLU activation function are introduced into SAEs.
Two gearbox datasets are employed to conform the effectiveness of the proposed method; the result indicates that the proposed method can not only achieve significant improvement but also is superior to the raw SAEs and some other traditional methods.
American Psychological Association (APA)
Liu, Guifang& Bao, Huaiqian& Han, Baokun. 2018. A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnosis. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1207812
Modern Language Association (MLA)
Liu, Guifang…[et al.]. A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnosis. Mathematical Problems in Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1207812
American Medical Association (AMA)
Liu, Guifang& Bao, Huaiqian& Han, Baokun. A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnosis. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1207812
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207812