Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis
Joint Authors
Lv, Qing
Fu, Chao
Lin, Hsiung-Cheng
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
It is crucial to carry out the fault diagnosis of rotating machinery by extracting the features that contain fault information.
Many previous works using a deep convolutional neural network (CNN) have achieved excellent performance in finding fault information from feature extraction of detected signals.
They, however, may suffer from time-consuming and low versatility.
In this paper, a CNN integrated with the adaptive batch normalization (ABN) algorithm (ABN-CNN) is developed to avoid high computing resource requirements of such complex networks.
It uses a large-scale convolution kernel at the grassroots level and a multidimensional 3 × 1 small convolution nuclear.
Therefore, a fast convergence and high recognition accuracy under noise and load variation environment can be achieved for bearing fault diagnosis.
The performance results verify that the proposed model is superior to Support Vector Machine with Fast Fourier Transform (FFT-SVM) and Multilayer Perceptron with Fast Fourier Transform (FFT-MLP) models and Deep Neural Network with Fast Fourier Transform (FFT-DNN).
American Psychological Association (APA)
Fu, Chao& Lv, Qing& Lin, Hsiung-Cheng. 2020. Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis. Shock and Vibration،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1212849
Modern Language Association (MLA)
Fu, Chao…[et al.]. Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis. Shock and Vibration No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1212849
American Medical Association (AMA)
Fu, Chao& Lv, Qing& Lin, Hsiung-Cheng. Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1212849
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212849