Generative adversarial network for fault detection diagnosis of chillers

10.1016/j.buildenv.2020.106698

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Bibliographic Details
Main Authors:	Ke Yan, Adrian Chong, Yuchang Mo
Other Authors:	DEPT OF BUILDING
Format:	Article
Language:	English
Published:	PERGAMON-ELSEVIER SCIENCE LTD 2021
Subjects:	Science & Technology Technology Construction & Building Technology Engineering, Environmental Engineering, Civil Engineering Chiller Fault detection and diagnosis Conditional wasserstein generative adversarial network BAYESIAN NETWORK BUILDING SYSTEMS MODEL PERFORMANCE STRATEGY
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/191896
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-191896
record_format	dspace
spelling	sg-nus-scholar.10635-1918962023-08-30T22:29:43Z Generative adversarial network for fault detection diagnosis of chillers Ke Yan Adrian Chong Yuchang Mo DEPT OF BUILDING Science & Technology Technology Construction & Building Technology Engineering, Environmental Engineering, Civil Engineering Chiller Fault detection and diagnosis Conditional wasserstein generative adversarial network BAYESIAN NETWORK BUILDING SYSTEMS MODEL PERFORMANCE STRATEGY 10.1016/j.buildenv.2020.106698 BUILDING AND ENVIRONMENT 172 2021-06-09T01:14:42Z 2021-06-09T01:14:42Z 2020-04-01 2021-06-08T07:52:14Z Article Ke Yan, Adrian Chong, Yuchang Mo (2020-04-01). Generative adversarial network for fault detection diagnosis of chillers. BUILDING AND ENVIRONMENT 172. ScholarBank@NUS Repository. https://doi.org/10.1016/j.buildenv.2020.106698 0360-1323 1873-684X https://scholarbank.nus.edu.sg/handle/10635/191896 en PERGAMON-ELSEVIER SCIENCE LTD Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Science & Technology Technology Construction & Building Technology Engineering, Environmental Engineering, Civil Engineering Chiller Fault detection and diagnosis Conditional wasserstein generative adversarial network BAYESIAN NETWORK BUILDING SYSTEMS MODEL PERFORMANCE STRATEGY
spellingShingle	Science & Technology Technology Construction & Building Technology Engineering, Environmental Engineering, Civil Engineering Chiller Fault detection and diagnosis Conditional wasserstein generative adversarial network BAYESIAN NETWORK BUILDING SYSTEMS MODEL PERFORMANCE STRATEGY Ke Yan Adrian Chong Yuchang Mo Generative adversarial network for fault detection diagnosis of chillers
description	10.1016/j.buildenv.2020.106698
author2	DEPT OF BUILDING
author_facet	DEPT OF BUILDING Ke Yan Adrian Chong Yuchang Mo
format	Article
author	Ke Yan Adrian Chong Yuchang Mo
author_sort	Ke Yan
title	Generative adversarial network for fault detection diagnosis of chillers
title_short	Generative adversarial network for fault detection diagnosis of chillers
title_full	Generative adversarial network for fault detection diagnosis of chillers
title_fullStr	Generative adversarial network for fault detection diagnosis of chillers
title_full_unstemmed	Generative adversarial network for fault detection diagnosis of chillers
title_sort	generative adversarial network for fault detection diagnosis of chillers
publisher	PERGAMON-ELSEVIER SCIENCE LTD
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/191896
_version_	1779153447757545472

Generative adversarial network for fault detection diagnosis of chillers

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