Hybrid digital twins: A co-creation of data science and physics
Safety is more important than reliability or efficiency in railway, aerospace, oil & gas, and chemical industries. Regulations are very restrictive in sectors where safety is paramount. This makes maintainers replace critical components in initial stages of degradation, which implies a loss of u...
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Luleå tekniska universitet, Drift, underhåll och akustik
2022
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ftluleatu:oai:DiVA.org:ltu-93636 2023-05-15T17:09:16+02:00 Hybrid digital twins: A co-creation of data science and physics Galvez, Antonio 2022 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-93636 eng eng Luleå tekniska universitet, Drift, underhåll och akustik Luleå Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, 1402-1544 orcid:0000-0002-3743-3710 http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-93636 urn:isbn:978-91-8048-190-8 urn:isbn:978-91-8048-191-5 info:eu-repo/semantics/openAccess hybrid modelling physics-based model data-driven model HVAC system Railway Reliability and Maintenance Tillförlitlighets- och kvalitetsteknik Doctoral thesis, comprehensive summary info:eu-repo/semantics/doctoralThesis text 2022 ftluleatu 2022-11-17T17:10:36Z Safety is more important than reliability or efficiency in railway, aerospace, oil & gas, and chemical industries. Regulations are very restrictive in sectors where safety is paramount. This makes maintainers replace critical components in initial stages of degradation, which implies a loss of useful life and a lack of information about advanced stages of degradation for those components. Nevertheless, this lack of data can be overcome using hybrid digital twins, also known as hybrid-model based approaches (HyMAs), which combine data-driven models with physics-based models. This fusion minimizes the occurrence of undesirable failures that may interrupt the functionality of critical systems in a safe or cost-efficient manner. HyMAs have been studied at Luleå University of Technology by other Ph.D. students who found promising direction for future research in prognostics and health management (PHM) applications. Thus, this research work continues the direction defined in previous research with the proposal of HyMAs for a heating, ventilation, and air conditioning (HVAC) system installed in a passenger train carriage orientated to diagnostics and prognostics processes. The proposed hybrid modelling consists of the fusion of data obtained from two sources: data obtained from the real system and synthetic data generated by a developed physics-based model of the HVAC. The HVAC system is considered a system of systems (SoS). Therefore, the physics-based model of the HVAC system is divided into four main systems: heating subsystem, cooling subsystem, ventilation subsystem, and cabin thermal networking subsystem. These subsystems are modelled considering the sensors installed in the real system and soft sensors, also known as virtual sensors, which provide crucial information for fault detection, diagnostics, and prognostics. These sensors defined in the physics-based model generate synthetic data which reproduce the behaviour of the system while a failure mode (FM) is simulated. Verification and validation are key ... Doctoral or Postdoctoral Thesis Luleå Luleå Luleå Luleå University of Technology Publications (DiVA) |
institution |
Open Polar |
collection |
Luleå University of Technology Publications (DiVA) |
op_collection_id |
ftluleatu |
language |
English |
topic |
hybrid modelling physics-based model data-driven model HVAC system Railway Reliability and Maintenance Tillförlitlighets- och kvalitetsteknik |
spellingShingle |
hybrid modelling physics-based model data-driven model HVAC system Railway Reliability and Maintenance Tillförlitlighets- och kvalitetsteknik Galvez, Antonio Hybrid digital twins: A co-creation of data science and physics |
topic_facet |
hybrid modelling physics-based model data-driven model HVAC system Railway Reliability and Maintenance Tillförlitlighets- och kvalitetsteknik |
description |
Safety is more important than reliability or efficiency in railway, aerospace, oil & gas, and chemical industries. Regulations are very restrictive in sectors where safety is paramount. This makes maintainers replace critical components in initial stages of degradation, which implies a loss of useful life and a lack of information about advanced stages of degradation for those components. Nevertheless, this lack of data can be overcome using hybrid digital twins, also known as hybrid-model based approaches (HyMAs), which combine data-driven models with physics-based models. This fusion minimizes the occurrence of undesirable failures that may interrupt the functionality of critical systems in a safe or cost-efficient manner. HyMAs have been studied at Luleå University of Technology by other Ph.D. students who found promising direction for future research in prognostics and health management (PHM) applications. Thus, this research work continues the direction defined in previous research with the proposal of HyMAs for a heating, ventilation, and air conditioning (HVAC) system installed in a passenger train carriage orientated to diagnostics and prognostics processes. The proposed hybrid modelling consists of the fusion of data obtained from two sources: data obtained from the real system and synthetic data generated by a developed physics-based model of the HVAC. The HVAC system is considered a system of systems (SoS). Therefore, the physics-based model of the HVAC system is divided into four main systems: heating subsystem, cooling subsystem, ventilation subsystem, and cabin thermal networking subsystem. These subsystems are modelled considering the sensors installed in the real system and soft sensors, also known as virtual sensors, which provide crucial information for fault detection, diagnostics, and prognostics. These sensors defined in the physics-based model generate synthetic data which reproduce the behaviour of the system while a failure mode (FM) is simulated. Verification and validation are key ... |
format |
Doctoral or Postdoctoral Thesis |
author |
Galvez, Antonio |
author_facet |
Galvez, Antonio |
author_sort |
Galvez, Antonio |
title |
Hybrid digital twins: A co-creation of data science and physics |
title_short |
Hybrid digital twins: A co-creation of data science and physics |
title_full |
Hybrid digital twins: A co-creation of data science and physics |
title_fullStr |
Hybrid digital twins: A co-creation of data science and physics |
title_full_unstemmed |
Hybrid digital twins: A co-creation of data science and physics |
title_sort |
hybrid digital twins: a co-creation of data science and physics |
publisher |
Luleå tekniska universitet, Drift, underhåll och akustik |
publishDate |
2022 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-93636 |
genre |
Luleå Luleå Luleå |
genre_facet |
Luleå Luleå Luleå |
op_relation |
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, 1402-1544 orcid:0000-0002-3743-3710 http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-93636 urn:isbn:978-91-8048-190-8 urn:isbn:978-91-8048-191-5 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766065310572478464 |