Optimizing E-Maintenance Through Intelligent Data Processing Systems

Eduard Gilabert; Erkki Jantunen; Christos Emmanouilidis; Andrew Starr; Aitor Arnaiz

doi:10.1007/978-1-4471-4993-4_1

Optimizing E-Maintenance Through Intelligent Data Processing Systems

Eduard Gilabert (Corresponding author), Erkki Jantunen, Christos Emmanouilidis, Andrew Starr, Aitor Arnaiz

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

The landscape of maintenance and asset management has been reshaped as key technology enablers that are making a significant impact on everyday applications. The growing maturing of web-based and semantic maintenance, the ubiquity of mobile and situated computing, and the lowered costs and increased capabilities of wireless sensing and identification technologies are among the enabling technologies having the most significant impact. They are recognized as the key constituents of eMaintenance, the technological framework that empowers organisations to streamline their asset management services and data delivery across the maintenance operations chain. This paper takes a look at these key, contributing technologies, alongside their adaption prospects and current hurdles preventing the wider penetration of eMaintenance industry.

Original language	English
Title of host publication	Engineering Asset Management 2011
Subtitle of host publication	Proceedings of the Sixth World Congress on Engineering Asset Management
Place of Publication	London
Publisher	Springer
Pages	1-9
ISBN (Electronic)	978-1-4471-4993-4
ISBN (Print)	978-1-4471-4992-7
DOIs	https://doi.org/10.1007/978-1-4471-4993-4_1
Publication status	Published - 2014
MoE publication type	A4 Article in a conference publication
Event	Sixth World Congress on Engineering Asset Management - Cincinnati, United States Duration: 3 Oct 2011 → 5 Oct 2011

Publication series

Series	Lecture Notes in Mechanical Engineering

Conference

Conference	Sixth World Congress on Engineering Asset Management
Country/Territory	United States
City	Cincinnati
Period	3/10/11 → 5/10/11

Keywords

e-Maintenance
mobile maintenance
asset management

Access to Document

10.1007/978-1-4471-4993-4_1

Cite this

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title = "Optimizing E-Maintenance Through Intelligent Data Processing Systems",

abstract = "The landscape of maintenance and asset management has been reshaped as key technology enablers that are making a significant impact on everyday applications. The growing maturing of web-based and semantic maintenance, the ubiquity of mobile and situated computing, and the lowered costs and increased capabilities of wireless sensing and identification technologies are among the enabling technologies having the most significant impact. They are recognized as the key constituents of eMaintenance, the technological framework that empowers organisations to streamline their asset management services and data delivery across the maintenance operations chain. This paper takes a look at these key, contributing technologies, alongside their adaption prospects and current hurdles preventing the wider penetration of eMaintenance industry.",

keywords = "e-Maintenance, mobile maintenance, asset management",

author = "Eduard Gilabert and Erkki Jantunen and Christos Emmanouilidis and Andrew Starr and Aitor Arnaiz",

note = "CO:U IK-4, Spain CO:U CETI CO:U Granfield University CA2: BA2111 Project code: 819-G5SU01728; Sixth World Congress on Engineering Asset Management ; Conference date: 03-10-2011 Through 05-10-2011",

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language = "English",

isbn = "978-1-4471-4992-7",

series = "Lecture Notes in Mechanical Engineering",

publisher = "Springer",

pages = "1--9",

booktitle = "Engineering Asset Management 2011",

address = "Germany",

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Gilabert, E, Jantunen, E, Emmanouilidis, C, Starr, A & Arnaiz, A 2014, Optimizing E-Maintenance Through Intelligent Data Processing Systems. in Engineering Asset Management 2011: Proceedings of the Sixth World Congress on Engineering Asset Management. Springer, London, Lecture Notes in Mechanical Engineering, pp. 1-9, Sixth World Congress on Engineering Asset Management, Cincinnati, Ohio, United States, 3/10/11. https://doi.org/10.1007/978-1-4471-4993-4_1

Optimizing E-Maintenance Through Intelligent Data Processing Systems. / Gilabert, Eduard (Corresponding author); Jantunen, Erkki; Emmanouilidis, Christos et al.
Engineering Asset Management 2011: Proceedings of the Sixth World Congress on Engineering Asset Management. London: Springer, 2014. p. 1-9 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Optimizing E-Maintenance Through Intelligent Data Processing Systems

AU - Gilabert, Eduard

AU - Jantunen, Erkki

AU - Emmanouilidis, Christos

AU - Starr, Andrew

AU - Arnaiz, Aitor

N1 - CO:U IK-4, Spain CO:U CETI CO:U Granfield University CA2: BA2111 Project code: 819-G5SU01728

PY - 2014

Y1 - 2014

N2 - The landscape of maintenance and asset management has been reshaped as key technology enablers that are making a significant impact on everyday applications. The growing maturing of web-based and semantic maintenance, the ubiquity of mobile and situated computing, and the lowered costs and increased capabilities of wireless sensing and identification technologies are among the enabling technologies having the most significant impact. They are recognized as the key constituents of eMaintenance, the technological framework that empowers organisations to streamline their asset management services and data delivery across the maintenance operations chain. This paper takes a look at these key, contributing technologies, alongside their adaption prospects and current hurdles preventing the wider penetration of eMaintenance industry.

AB - The landscape of maintenance and asset management has been reshaped as key technology enablers that are making a significant impact on everyday applications. The growing maturing of web-based and semantic maintenance, the ubiquity of mobile and situated computing, and the lowered costs and increased capabilities of wireless sensing and identification technologies are among the enabling technologies having the most significant impact. They are recognized as the key constituents of eMaintenance, the technological framework that empowers organisations to streamline their asset management services and data delivery across the maintenance operations chain. This paper takes a look at these key, contributing technologies, alongside their adaption prospects and current hurdles preventing the wider penetration of eMaintenance industry.

KW - e-Maintenance

KW - mobile maintenance

KW - asset management

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DO - 10.1007/978-1-4471-4993-4_1

M3 - Conference article in proceedings

SN - 978-1-4471-4992-7

T3 - Lecture Notes in Mechanical Engineering

SP - 1

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BT - Engineering Asset Management 2011

PB - Springer

CY - London

T2 - Sixth World Congress on Engineering Asset Management

Y2 - 3 October 2011 through 5 October 2011

ER -

Optimizing E-Maintenance Through Intelligent Data Processing Systems

Abstract

Publication series

Conference

Keywords

Access to Document

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Cite this