Predictive Maintenance for Switch Machine Based on Digital Twins

As a unique device of railway networks, the normal operation of switch machines involves railway safe and efficient operation. Predictive maintenance becomes the focus of the switch machine. Aiming at the low accuracy of the prediction state and the difficulty in state visualization, the paper propo...

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Autores principales:	Jia Yang, Yongkui Sun, Yuan Cao, Xiaoxi Hu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	digital twins switch machine predictive maintenance combination model Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/2a2f951779e94e0ab8b8733b4b2534e6
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id	oai:doaj.org-article:2a2f951779e94e0ab8b8733b4b2534e6
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spelling	oai:doaj.org-article:2a2f951779e94e0ab8b8733b4b2534e62021-11-25T17:58:44ZPredictive Maintenance for Switch Machine Based on Digital Twins10.3390/info121104852078-2489https://doaj.org/article/2a2f951779e94e0ab8b8733b4b2534e62021-11-01T00:00:00Zhttps://www.mdpi.com/2078-2489/12/11/485https://doaj.org/toc/2078-2489As a unique device of railway networks, the normal operation of switch machines involves railway safe and efficient operation. Predictive maintenance becomes the focus of the switch machine. Aiming at the low accuracy of the prediction state and the difficulty in state visualization, the paper proposes a predictive maintenance model for switch machines based on Digital Twins (DT). It constructs a DT model for the switch machine, which contains a behavior model and a rule model. The behavior model is a high-fidelity visual model. The rule model is a high-precision prediction model, which is combined with long short-term memory (LSTM) and autoregressive Integrated Moving Average model (ARIMA). Experiment results show that the model can be more intuitive with higher prediction accuracy and better applicability. The proposed DT approach is potentially practical, providing a promising idea for switching machines in predictive maintenance.Jia YangYongkui SunYuan CaoXiaoxi HuMDPI AGarticledigital twinsswitch machinepredictive maintenancecombination modelInformation technologyT58.5-58.64ENInformation, Vol 12, Iss 485, p 485 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	digital twins switch machine predictive maintenance combination model Information technology T58.5-58.64
spellingShingle	digital twins switch machine predictive maintenance combination model Information technology T58.5-58.64 Jia Yang Yongkui Sun Yuan Cao Xiaoxi Hu Predictive Maintenance for Switch Machine Based on Digital Twins
description	As a unique device of railway networks, the normal operation of switch machines involves railway safe and efficient operation. Predictive maintenance becomes the focus of the switch machine. Aiming at the low accuracy of the prediction state and the difficulty in state visualization, the paper proposes a predictive maintenance model for switch machines based on Digital Twins (DT). It constructs a DT model for the switch machine, which contains a behavior model and a rule model. The behavior model is a high-fidelity visual model. The rule model is a high-precision prediction model, which is combined with long short-term memory (LSTM) and autoregressive Integrated Moving Average model (ARIMA). Experiment results show that the model can be more intuitive with higher prediction accuracy and better applicability. The proposed DT approach is potentially practical, providing a promising idea for switching machines in predictive maintenance.
format	article
author	Jia Yang Yongkui Sun Yuan Cao Xiaoxi Hu
author_facet	Jia Yang Yongkui Sun Yuan Cao Xiaoxi Hu
author_sort	Jia Yang
title	Predictive Maintenance for Switch Machine Based on Digital Twins
title_short	Predictive Maintenance for Switch Machine Based on Digital Twins
title_full	Predictive Maintenance for Switch Machine Based on Digital Twins
title_fullStr	Predictive Maintenance for Switch Machine Based on Digital Twins
title_full_unstemmed	Predictive Maintenance for Switch Machine Based on Digital Twins
title_sort	predictive maintenance for switch machine based on digital twins
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2a2f951779e94e0ab8b8733b4b2534e6
work_keys_str_mv	AT jiayang predictivemaintenanceforswitchmachinebasedondigitaltwins AT yongkuisun predictivemaintenanceforswitchmachinebasedondigitaltwins AT yuancao predictivemaintenanceforswitchmachinebasedondigitaltwins AT xiaoxihu predictivemaintenanceforswitchmachinebasedondigitaltwins
_version_	1718411731094470656

Predictive Maintenance for Switch Machine Based on Digital Twins

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