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Data Requirements to Enable PHM for Liquid Hydrogen Storage Systems from a Risk Assessment Perspective = = Identificacion de datos requeridos para la implementacion de herramientas de pronostico y gestion de salud en sistemas de almacenamiento de hidrogeno liquido desde una perspectiva de evaluacion de riesgos.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data Requirements to Enable PHM for Liquid Hydrogen Storage Systems from a Risk Assessment Perspective =/
Reminder of title:	Identificacion de datos requeridos para la implementacion de herramientas de pronostico y gestion de salud en sistemas de almacenamiento de hidrogeno liquido desde una perspectiva de evaluacion de riesgos.
Author:	Correa Jullian, Camila Asuncion.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	229 p.
Notes:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28418564
ISBN:	9798534679915

Data Requirements to Enable PHM for Liquid Hydrogen Storage Systems from a Risk Assessment Perspective = = Identificacion de datos requeridos para la implementacion de herramientas de pronostico y gestion de salud en sistemas de almacenamiento de hidrogeno liquido desde una perspectiva de evaluacion de riesgos.
Correa Jullian, Camila Asuncion.

Data Requirements to Enable PHM for Liquid Hydrogen Storage Systems from a Risk Assessment Perspective =Identificacion de datos requeridos para la implementacion de herramientas de pronostico y gestion de salud en sistemas de almacenamiento de hidrogeno liquido desde una perspectiva de evaluacion de riesgos. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 229 p.

Source: Masters Abstracts International, Volume: 83-02.

Thesis (M.S.)--University of Maryland, College Park, 2021.

This item must not be sold to any third party vendors.

Quantitative Risk Assessment (QRA) aids the development of risk-informed safety codes and standards which are employed to reduce risk in a variety of complex technologies, such as hydrogen systems. Currently, the lack of reliability data limits the use of QRAs for fueling stations equipped with bulk liquid hydrogen storage systems. In turn, this hinders the ability to develop the necessary rigorous safety codes and standards to allow worldwide deployment of these stations. Prognostics and Health Management (PHM) and the analysis of condition-monitoring data emerge as an alternative to support risk assessment methods. Through the QRA-based analysis of a liquid hydrogen storage system, the core elements for the design of a data-driven PHM framework are addressed from a risk perspective. This work focuses on identifying the data collection requirements to strengthen current risk analyses and enable data-driven approaches to improve the safety and risk assessment of a liquid hydrogen fueling infrastructure.

ISBN: 9798534679915Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Hydrogen fueling station

Data Requirements to Enable PHM for Liquid Hydrogen Storage Systems from a Risk Assessment Perspective = = Identificacion de datos requeridos para la implementacion de herramientas de pronostico y gestion de salud en sistemas de almacenamiento de hidrogeno liquido desde una perspectiva de evaluacion de riesgos.
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245 1 0 $a Data Requirements to Enable PHM for Liquid Hydrogen Storage Systems from a Risk Assessment Perspective = $b Identificacion de datos requeridos para la implementacion de herramientas de pronostico y gestion de salud en sistemas de almacenamiento de hidrogeno liquido desde una perspectiva de evaluacion de riesgos.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 229 p.
500 $a Source: Masters Abstracts International, Volume: 83-02.
500 $a Advisor: Groth, Katrina M.
502 $a Thesis (M.S.)--University of Maryland, College Park, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Quantitative Risk Assessment (QRA) aids the development of risk-informed safety codes and standards which are employed to reduce risk in a variety of complex technologies, such as hydrogen systems. Currently, the lack of reliability data limits the use of QRAs for fueling stations equipped with bulk liquid hydrogen storage systems. In turn, this hinders the ability to develop the necessary rigorous safety codes and standards to allow worldwide deployment of these stations. Prognostics and Health Management (PHM) and the analysis of condition-monitoring data emerge as an alternative to support risk assessment methods. Through the QRA-based analysis of a liquid hydrogen storage system, the core elements for the design of a data-driven PHM framework are addressed from a risk perspective. This work focuses on identifying the data collection requirements to strengthen current risk analyses and enable data-driven approaches to improve the safety and risk assessment of a liquid hydrogen fueling infrastructure.
520 $a El analisis cuantitativo de riesgos (QRA) apoya el desarrollo de codigos y estandares de ingenieria. Su fin principal es reducir el riesgo de sistemas complejos, tales como las tecnologias de hidrogeno. Actualmente, la falta de datos fiables limita el uso de QRA en estaciones de recarga de combustible con almacenamiento de hidrogeno liquido. En este contexto, las herramientas de pronostico y gestion de salud (PHM), junto al analisis de datos de monitoreo, surgen como una alternativa para complementar los metodos tradicionales de QRA. En esta tesis se presenta el diseno conceptual de una aplicacion de PHM para un sistema de almacenamiento de hidrogeno liquido desde una perspectiva de riesgo. Esto se enfoca en identificar las fuentes de datos requeridas para fortalecer los analisis de riesgos y fomentar la implementacion de herramientas en base a datos de monitoreo con el objetivo de incrementar la seguridad en sistemas de hidrogeno.
590 $a School code: 0117.
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650 4 $a Alternative energy. $3 3436775
650 4 $a Fuel cells. $3 645135
650 4 $a Standards. $3 3560310
650 4 $a Gas detectors. $3 1602053
650 4 $a Valves. $3 649247
650 4 $a Electric vehicles. $3 1613392
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650 4 $a Energy. $3 876794
650 4 $a Onsite. $3 3690306
650 4 $a Crack propagation. $3 3683840
650 4 $a Cooling. $3 1457878
650 4 $a Heat exchangers. $3 626398
650 4 $a Failure analysis. $3 3563948
650 4 $a ISO standards. $3 3558997
650 4 $a Neural networks. $3 677449
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650 4 $a Data collection. $3 3561708
650 4 $a Renewable resources. $3 3559207
653 $a Hydrogen fueling station
653 $a Hydrogen safety
653 $a Hydrogen storage
653 $a Prognostics and health management
653 $a Quantitative risk assessment
653 $a Reliability engineering
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28418564