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Supporting the Selection of Prognostic-based Decision Support Methods in Manufacturing
2015
Proceedings of the 17th International Conference on Enterprise Information Systems
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We propose an approach for supporting analysts selecting the most suitable combination(s) of methods for prognostic-based maintenance decision support according to the requirements of a given maintenance ...
Condition Based Maintenance (CBM) relies on prognostic models and uses them to support maintenance decisions based on the current and predicted health state of equipment. ...
ACKNOWLEDGEMENTS This work is partly funded by the European Commission project FP7 STREP ProaSense "The Proactive Sensing Enterprise" (612329). ...
doi:10.5220/0005372104870494
dblp:conf/iceis/BousdekisMAM15
fatcat:qz4rv5n5bjebbjvi37w73nnmsm
Review of Post-Prognostics Decision-Making in Prognostics and Health Management
2021
International Journal of Prognostics and Health Management
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This paper reviews in the literature about the different aspects of decision-making in the context of PHM. ...
and prognostic process in which the source of failure is detected and the remaining useful life (RUL) is predicted and finally the decision- making process that refers to the term management in prognostics ...
The importance of those interactions offers a promising field of research in prognostics and health management. ...
doi:10.36001/ijphm.2020.v11i2.2928
fatcat:ljchziptpvcark32jpxkf6qlg4
Assessing Safety Prognostic Technology for Complex Petroleum Engineering Projects
2021
International Journal of Engineering Works
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The results of the research examined that safety prognostic technologies are significant in terms of enhancing safety, reliability and reducing the possible errors in maintenance. ...
The current research was aimed at examining the challenges pertinent to safety prognostic technology as well as various ways in which it can be implemented for resolving issues in complex petroleum engineering ...
On inquiry regarding decision support system in refineries, one of the interview participants responded: "Decision support systems are not the solution themselves. ...
doi:10.34259/ijew.21.808226231
fatcat:egrdvsqxizb5zcpjopcfxd6wge
The Adoption of Prognostic Technologies in Maintenance Decision Making: A Multiple Case Study
2015
Procedia CIRP
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Among these are the identification of the correct parameters to measure, the translation of the gathered data into useful maintenance decision support and the need for guidance in prognostic technology ...
Based on the literature, a framework on generalized routes to implement prognostic technologies for maintenance decision making will be presented. ...
This research is part of the Tools4LCM project, funded by the Netherlands Ministry of Defence and the National Aerospace Laboratory NLR. ...
doi:10.1016/j.procir.2015.08.028
fatcat:xb5t2ambnbd7ja7zkeupqusxqe
Adaptive Multi-scale PHM for Robotic Assembly Processes
2015
Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
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Adaptive multiscale prognostics and health management (AM-PHM) is a methodology designed to support PHM in smart manufacturing systems. ...
As a rule, PHM information is not used in high-level decision-making in manufacturing systems. ...
Acknowledgments This research is supported by the National Institute of Standards and Technology. ...
pmid:28664161
pmcid:PMC5486223
fatcat:pwn24xzssvashjqzgewrfojxai
A review of diagnostic and prognostic capabilities and best practices for manufacturing
2016
Journal of Intelligent Manufacturing
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This paper reviews the challenges, needs, methods, and best practices for PHM within manufacturing systems. ...
However, PHM is still an emerging field, and much of the published work has been either too exploratory or too limited in scope. ...
The goal of PHM technology is to provide decision support; that is, actionable information to support decision making (Kalgren et al. 2007 ). ...
doi:10.1007/s10845-016-1228-8
pmid:30820072
pmcid:PMC6391061
fatcat:rwecehobjnfbdki6w7wlcaptue
A Prognostics and Health Management Based Method for Refurbishment Decision Making for Electromechanical Systems
2015
IFAC-PapersOnLine
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In this paper, a prognostics and health management-based method is developed for refurbishment decision making. ...
In this paper, a prognostics and health management-based method is developed for refurbishment decision making. ...
A NOVEL PHM-BASED METHOD FOR REFURBISHMENT DECISION MAKING OF ELECTROMECHANICAL SYSTEMS The framework of the method proposed is shown in Fig. 1 Considering that the PHM method is performed when the ...
doi:10.1016/j.ifacol.2015.06.123
fatcat:lybmsf4a3ze65aionufzhzj274
Condition-based maintenance implementation: a literature review
2020
Procedia Manufacturing
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Recent advances in Big Data analytics and Internet of Things (IoT) enable real-time decision making based on abundant data acquired from several different sources. ...
Recent advances in Big Data analytics and Internet of Things (IoT) enable real-time decision making based on abundant data acquired from several different sources. ...
The framework was tested in the prognostics of a power transformer failure mode based on risk estimations performed in real time for the selected failure mode. ...
doi:10.1016/j.promfg.2020.10.033
fatcat:4slusvtscjhq3afodb6mwkua6e
A Real-Time Architecture for Proactive Decision Making in Manufacturing Enterprises
[chapter]
2015
Lecture Notes in Computer Science
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We outline a new architecture for supporting proactive decision making in manufacturing enterprises. ...
We illustrate how the proposed architecture supports decisionmaking ahead of time on the basis of real-time observations and anticipation of future undesired events by presenting a practical condition-based ...
This work is partly funded by the European Commission project FP7 STREP ProaSense "The Proactive Sensing Enterprise" (612329) http://www.proasense.eu/. ...
doi:10.1007/978-3-319-26138-6_17
fatcat:66rigtmncjeonbdgqmsbppjtci
Prognostic Model Development with Missing Labels
2019
Business & Information Systems Engineering
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So I would like to take this opportunity to thank at least some of those who have supported me over the past few years in one way or another to complete this life-changing project. ...
Acknowledgements The marathon project of writing a doctoral thesis is not an individual runner's achievement. ...
In the second step, existing solution approaches based on data-driven methods have to be collected that address the specified decision support task. ...
doi:10.1007/s12599-019-00596-1
fatcat:i3ebjkmevjdzzbzarupfd4hw5e
A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications
2021
Electronics
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The main research directions include the coupling of decision-making with augmented reality for seamless interfacing that combines the real and virtual worlds of manufacturing operators; methods and techniques ...
of the cloud continuum for optimal deployment of decision-making services; capability of decision-making methods to cope with big data; incorporation of advanced security mechanisms; and coupling decision-making ...
The need to support data-driven decision-making in Industry 4.0 has leveraged the development of new methods and algorithms aiming to support engineers in making optimal decisions about maintenance and ...
doi:10.3390/electronics10070828
doaj:8accfa8ec357433dbb02cde449e3af6a
fatcat:7q55ex2mezfstdllzfufryeo3a
On the concept of e-maintenance: Review and current research
2008
Reliability Engineering & System Safety
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To support this role, the development of the communication and information technologies has allowed the emergence of the concept of e-maintenance. ...
Within the era of e-manufacturing and e-business, e-maintenance provides the opportunity for a new maintenance generation. ...
Acknowledgements This research has been funded by the Spanish Ministry of Science and Education, Project DPI 2004:01843, besides FEDER funds. ...
doi:10.1016/j.ress.2007.08.006
fatcat:5ta7dxsvvngkxdcfjkdszqmqk4
Cloud-enabled prognosis for manufacturing
2015
CIRP annals
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Techniques for cloud computing are highlighted, as well as the influence of these techniques on the paradigm of cloud-enabled prognosis for manufacturing. ...
As an emerging infrastructure, cloud computing provides new opportunities to achieve the goals of advanced manufacturing. ...
Identification of certain commercial systems in this paper does 21 not imply recommendation or endorsement by NIST. ...
doi:10.1016/j.cirp.2015.05.011
fatcat:evyrmltqljd7bcieezh6euy6wm
Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems: Key Findings from a Roadmapping Workshop
2015
Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
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to implement condition monitoring, diagnostic, and prognostic technologies within manufacturing environments; and the priorities to meet the needs of PHM in manufacturing. ...
The National Institute of Standards and Technology (NIST) hosted the Roadmapping Workshop - Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems (PHM4SMS) in Fall 2014 ...
Acknowledgments The authors would like to thank the workshop speakers, panelists, and participants for their focused and diligent efforts during the two-day event. ...
pmid:28664163
pmcid:PMC5485851
fatcat:syxhdb334zbn5knkzpeijtwsvi
Product Quality Driven Auto-Prognostics: Low-Cost Digital Solution for SMEs
2020
IFAC-PapersOnLine
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Lastly, the practical advantages of the proposed solution over the existing sensor-based solution were investigated via a case study. ...
Presented in this paper is a low-cost digital solution (intelligently integrate cost-cutting off-the-shelf technologies) for SMEs via product quality driven auto-prognostics. ...
ACKNOWLEDGEMENT The work presented in this paper was financially supported by the Royal Academy of Engineering London, UK (IAPP 18-19/31). ...
doi:10.1016/j.ifacol.2020.11.012
fatcat:lcgtm7y2rvd7ho64bwcp2zsugq
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