A Novel Method for Diagnosis of Bearing Fault Using Hierarchical Multitasks Convolutional Neural Networks
Joint Authors
Liu, Yong-Zhi
Zou, Yi-Sheng
Jiang, Yu-Liang
Yu, Hui
Ding, Guo-Fu
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-04
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Intelligent mechanical fault diagnosis has developed very fast in recent years due to the advancement and application of deep learning technologies.
Thus, there are many deep learning network models that have been explored in fault classification and diagnosis.
However, there are still limitations in research on the relationship between fault location, fault type, and fault severity.
In this paper, a novel method for diagnosis of bearing fault using hierarchical multitask convolution neural networks (HMCNNs) is proposed, taking into account the mentioned relationships.
The HMCNN model includes a main task and multiple subtasks.
In the HMCNN model, a weighted probability is used to reduce the classification error propagation among multitasks to improve the fault diagnosis accuracy.
The validity of the proposed method is verified on bearing datasets.
Experimental results show that the proposed method is very effective and superior to the existing methods.
American Psychological Association (APA)
Liu, Yong-Zhi& Zou, Yi-Sheng& Jiang, Yu-Liang& Yu, Hui& Ding, Guo-Fu. 2020. A Novel Method for Diagnosis of Bearing Fault Using Hierarchical Multitasks Convolutional Neural Networks. Shock and Vibration،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1212893
Modern Language Association (MLA)
Liu, Yong-Zhi…[et al.]. A Novel Method for Diagnosis of Bearing Fault Using Hierarchical Multitasks Convolutional Neural Networks. Shock and Vibration No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1212893
American Medical Association (AMA)
Liu, Yong-Zhi& Zou, Yi-Sheng& Jiang, Yu-Liang& Yu, Hui& Ding, Guo-Fu. A Novel Method for Diagnosis of Bearing Fault Using Hierarchical Multitasks Convolutional Neural Networks. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1212893
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212893