Anomaly detection of wind turbines based on deep small-world neural network

10.3390/app10041243

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Bibliographic Details
Main Authors:	Li, M., Wang, S., Fang, S., Zhao, J.
Other Authors:	MECHANICAL ENGINEERING
Format:	Article
Published:	MDPI AG 2021
Subjects:	Adaptive threshold Deep small-world neural network (DSWNN) Fault diagnosis Supervisory control and data acquisition (SCADA) data Wind turbine
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/198834
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-198834
record_format	dspace
spelling	sg-nus-scholar.10635-1988342024-04-04T02:32:06Z Anomaly detection of wind turbines based on deep small-world neural network Li, M. Wang, S. Fang, S. Zhao, J. MECHANICAL ENGINEERING Adaptive threshold Deep small-world neural network (DSWNN) Fault diagnosis Supervisory control and data acquisition (SCADA) data Wind turbine 10.3390/app10041243 Applied Sciences (Switzerland) 10 4 1243 2021-08-23T09:08:28Z 2021-08-23T09:08:28Z 2020 Article Li, M., Wang, S., Fang, S., Zhao, J. (2020). Anomaly detection of wind turbines based on deep small-world neural network. Applied Sciences (Switzerland) 10 (4) : 1243. ScholarBank@NUS Repository. https://doi.org/10.3390/app10041243 20763417 https://scholarbank.nus.edu.sg/handle/10635/198834 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ MDPI AG Scopus OA2020
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Adaptive threshold Deep small-world neural network (DSWNN) Fault diagnosis Supervisory control and data acquisition (SCADA) data Wind turbine
spellingShingle	Adaptive threshold Deep small-world neural network (DSWNN) Fault diagnosis Supervisory control and data acquisition (SCADA) data Wind turbine Li, M. Wang, S. Fang, S. Zhao, J. Anomaly detection of wind turbines based on deep small-world neural network
description	10.3390/app10041243
author2	MECHANICAL ENGINEERING
author_facet	MECHANICAL ENGINEERING Li, M. Wang, S. Fang, S. Zhao, J.
format	Article
author	Li, M. Wang, S. Fang, S. Zhao, J.
author_sort	Li, M.
title	Anomaly detection of wind turbines based on deep small-world neural network
title_short	Anomaly detection of wind turbines based on deep small-world neural network
title_full	Anomaly detection of wind turbines based on deep small-world neural network
title_fullStr	Anomaly detection of wind turbines based on deep small-world neural network
title_full_unstemmed	Anomaly detection of wind turbines based on deep small-world neural network
title_sort	anomaly detection of wind turbines based on deep small-world neural network
publisher	MDPI AG
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/198834
_version_	1800914961831034880

Anomaly detection of wind turbines based on deep small-world neural network

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