A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches

Many existing studies have investigated component-level Prognostics and Health Management (PHM) problems. In the real field, the PHM for the system is more important, which deals with the exploration of the system health derived from components degradations, from which the decision can be made to wh...

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Autores principales:	Seokgoo Kim, Nam Ho Kim, Joo-Ho Choi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Architectures system-level prognostics physics-based approach data-driven approach remaining useful life (RUL) DC motor system Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/2c2993ad11e842c898b038c79c0c9676
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id	oai:doaj.org-article:2c2993ad11e842c898b038c79c0c9676
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spelling	oai:doaj.org-article:2c2993ad11e842c898b038c79c0c96762021-12-03T00:00:37ZA Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches2169-353610.1109/ACCESS.2021.3129516https://doaj.org/article/2c2993ad11e842c898b038c79c0c96762021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9622275/https://doaj.org/toc/2169-3536Many existing studies have investigated component-level Prognostics and Health Management (PHM) problems. In the real field, the PHM for the system is more important, which deals with the exploration of the system health derived from components degradations, from which the decision can be made to which components to repair. While there have been few recent studies in this direction, no studies are found that have investigated this issue from the systems perspective. Motivated by this, appropriate architecture for the system-level PHM is proposed for the physics-based and data-driven approaches. The architecture is demonstrated using a direct current (DC) motor system, which addresses the system health by the degradation of two components: bearing and permanent magnet. Due to the lack of real field data, simulation data are made using the motor dynamic equation. The two approaches are compared from the perspective of model construction and required information. In conclusion, the proposed architecture enables the estimation of components and system health, as well as the prediction of their remaining useful life. Furthermore, a what-if study allows us to investigate how long the system can be operated by repairing each component, from which the optimum maintenance plan can be made.Seokgoo KimNam Ho KimJoo-Ho ChoiIEEEarticleArchitecturessystem-level prognosticsphysics-based approachdata-driven approachremaining useful life (RUL)DC motor systemElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 157960-157972 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Architectures system-level prognostics physics-based approach data-driven approach remaining useful life (RUL) DC motor system Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Architectures system-level prognostics physics-based approach data-driven approach remaining useful life (RUL) DC motor system Electrical engineering. Electronics. Nuclear engineering TK1-9971 Seokgoo Kim Nam Ho Kim Joo-Ho Choi A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches
description	Many existing studies have investigated component-level Prognostics and Health Management (PHM) problems. In the real field, the PHM for the system is more important, which deals with the exploration of the system health derived from components degradations, from which the decision can be made to which components to repair. While there have been few recent studies in this direction, no studies are found that have investigated this issue from the systems perspective. Motivated by this, appropriate architecture for the system-level PHM is proposed for the physics-based and data-driven approaches. The architecture is demonstrated using a direct current (DC) motor system, which addresses the system health by the degradation of two components: bearing and permanent magnet. Due to the lack of real field data, simulation data are made using the motor dynamic equation. The two approaches are compared from the perspective of model construction and required information. In conclusion, the proposed architecture enables the estimation of components and system health, as well as the prediction of their remaining useful life. Furthermore, a what-if study allows us to investigate how long the system can be operated by repairing each component, from which the optimum maintenance plan can be made.
format	article
author	Seokgoo Kim Nam Ho Kim Joo-Ho Choi
author_facet	Seokgoo Kim Nam Ho Kim Joo-Ho Choi
author_sort	Seokgoo Kim
title	A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches
title_short	A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches
title_full	A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches
title_fullStr	A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches
title_full_unstemmed	A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches
title_sort	study toward appropriate architecture of system-level prognostics: physics-based and data-driven approaches
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/2c2993ad11e842c898b038c79c0c9676
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A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches

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