An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis

10.1109/ACCESS.2018.2877447

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Bibliographic Details
Main Authors:	Xie, J., Du, G., Shen, C., Chen, N., Chen, L., Zhu, Z.
Other Authors:	INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
Format:	Article
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	Bearing deep belief network end-to-end model health management
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/206480
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-206480
record_format	dspace
spelling	sg-nus-scholar.10635-2064802024-04-05T02:08:29Z An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis Xie, J. Du, G. Shen, C. Chen, N. Chen, L. Zhu, Z. INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT Bearing deep belief network end-to-end model health management 10.1109/ACCESS.2018.2877447 IEEE Access 6 63584-63596 2021-11-16T09:30:05Z 2021-11-16T09:30:05Z 2018 Article Xie, J., Du, G., Shen, C., Chen, N., Chen, L., Zhu, Z. (2018). An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis. IEEE Access 6 : 63584-63596. ScholarBank@NUS Repository. https://doi.org/10.1109/ACCESS.2018.2877447 2169-3536 https://scholarbank.nus.edu.sg/handle/10635/206480 Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/ Institute of Electrical and Electronics Engineers Inc. Scopus OA2018
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Bearing deep belief network end-to-end model health management
spellingShingle	Bearing deep belief network end-to-end model health management Xie, J. Du, G. Shen, C. Chen, N. Chen, L. Zhu, Z. An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis
description	10.1109/ACCESS.2018.2877447
author2	INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
author_facet	INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT Xie, J. Du, G. Shen, C. Chen, N. Chen, L. Zhu, Z.
format	Article
author	Xie, J. Du, G. Shen, C. Chen, N. Chen, L. Zhu, Z.
author_sort	Xie, J.
title	An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis
title_short	An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis
title_full	An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis
title_fullStr	An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis
title_full_unstemmed	An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis
title_sort	end-to-end model based on improved adaptive deep belief network and its application to bearing fault diagnosis
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/206480
_version_	1800915111155597312

An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis

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