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Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Omar Bougacha, Christophe Varnier, Noureddine Zerhouni
2021 International Journal of Prognostics and Health Management  
Additionally, this paper presents a synthesis of the previous works that helps identify new trends and deficiencies in the decision-making process. The synthesis can guide efforts for future work.  ...  This paper reviews in the literature about the different aspects of decision-making in the context of PHM.  ...  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

A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications

Alexandros Bousdekis, Katerina Lepenioti, Dimitris Apostolou, Gregoris Mentzas
2021 Electronics  
The current paper reviews the literature on data-driven decision-making in maintenance and outlines directions for future research towards data-driven decision-making for Industry 4.0 maintenance applications  ...  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  ...  Analysis and Synthesis In this section, we present the analysis and synthesis of the reviewed papers. The process that we followed included the following steps: 1.  ... 
doi:10.3390/electronics10070828 doaj:8accfa8ec357433dbb02cde449e3af6a fatcat:7q55ex2mezfstdllzfufryeo3a

Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators

2020 Journal of Polytechnic  
ABSTRACT This article proposes a prognostic and diagnostic coupling framework based on the OSA-CBM (Open System Architecture for Condition Based Maintenance) for photovoltaic generators (PVG).  ...  Then, the main methods of coupling diagnostic and prognostic processes are explained: Watch Dog, Prognostic Enhancements to Diagnosis Systems (PEDS), Integrated Predictive Maintenance Systems (SIMP) and  ...   OSA-CBM Method (Open System Architecture for Condition Based Maintenance) The OSA-CBM (Open System Architecture for Condition Based Maintenance) method [10] defines a coupling architecture for the  ... 
doi:10.2339/politeknik.587253 fatcat:6mz2q4vagnbjbp3wdchtnnm5iq

Modeling for Prognostics and Health Management: Methods and Applications

Xiao-Sheng Si, Chang-Hua Hu, Enrico Zio, Gang Li
2015 Mathematical Problems in Engineering  
We also appreciate all reviewers who dedicated their time and effort to perform review of all the submitted papers and provided valuable suggestions to the authors.  ...  Acknowledgments We would like to express appreciation to the authors for their excellent contributions and patience in assisting us.  ...  Yin et al. introduces the models in the field of survival analysis into condition-based maintenance.  ... 
doi:10.1155/2015/613896 fatcat:ufouznxk7nau7hy2hdshwjyt4m

Supporting the Implementation of Predictive Maintenance

Carolin Wagner, Bernd Hellingrath
2021 International Journal of Prognostics and Health Management  
Existing process models and supportive guidance build on theoretical knowledge from experts; however, they often lack the complexity and challenges of industrial applications.  ...  maintenance for industrial applications.  ...  In addition, we thank Thomas Ackermann and Christoph Gaertner for the preparation and the conduct of the expert interviews.  ... 
doi:10.36001/ijphm.2021.v12i1.2933 fatcat:zz64bmfc6rgzfbvvjoodtvo4va

Context Driven Remaining Useful Life Estimation

Carl-Anders Johansson, Victor Simon, Diego Galar
2014 Procedia CIRP  
Basically it can be assumed that, the amount of available information affects the quality of maintenance decision making and acting positively.  ...  Of them, in this work so far only the spindle fingerprint mutation has been validated independently as prognostic for overall survival and survival after relapse, while the prognostic value of rest of  ...  Work programme: FoF.NMP.2012-2 "Methodologies and tools for the sustainable, predictive maintenance of production equipment" under grant agreement no. "314548 -Power-OM".  ... 
doi:10.1016/j.procir.2014.07.129 fatcat:esch4xtqire6dns2rfd7jdapmi

On the role of Prognostics and Health Management in advanced maintenance systems

A.J. Guillén, A. Crespo, M. Macchi, J. Gómez
2016 Production planning & control (Print)  
The model highlights: (i) how PHM may impact the definition of maintenance policies; (ii) how PHM fits within the Condition Based Maintenance (CBM) and (iii) how PHM can be integrated into Reliability  ...  A great number of techniques and methods have emerged in the light of these advances allowing to have an accurate and knowledge about the systems' condition evolution and remaining useful life.  ...  Acknowledgement This research work was performed within the context of SustainOwner  ... 
doi:10.1080/09537287.2016.1171920 fatcat:h33ftadcwrde7nt45c3ns7xcfu

Prognostic methods for proton exchange membrane fuel cell under automotive load cycling: a review

Andres Jacome, Daniel Hissel, Vincent Heiries, Mathias Gerard, Sebastien Rosini
2020 IET Electrical Systems in Transportation  
In the second part, the prognostic methods review for automotive PEMFCs is carried out and a general synthesis and future challenges are given in the third part of the study.  ...  This study presents a review of prognostic methods applied to automotive proton exchange membrane fuel cell (PEMFC).  ...  Section 3 presents the concepts of prognostic, SoH and RUL then the works on prognostic methods under ALC are reviewed. Section 4 presents a general synthesis of the review and the future challenges.  ... 
doi:10.1049/iet-est.2020.0045 fatcat:5n4fi2ocijcitnojpydlonylju


2014 Dyna  
Analogously, the rise of Computerized Maintenance Management Systems (CMMS), Condition Based Maintenance (CBM), and the use of remote devices and functions such as e-maintenance, have opened great possibilities  ...  for maintenance optimization.  ...  ACKNOWLEDGEMENTS This research was funded by a grant from the Portuguese Foundation for Science and Technology, grant SFRH/BPD/68576/2010  ... 
doi:10.15446/dyna.v81n183.20615 fatcat:psxbweg2urgfffbxbzqtnlin5y

Supporting group maintenance through prognostics-enhanced dynamic dependability prediction

J.I. Aizpurua, V.M. Catterson, Y. Papadopoulos, F. Chiacchio, D. D'Urso
2017 Reliability Engineering & System Safety  
A prognostics-updated method for predicting the system health is then employed to yield well-informed, more accurate, condition-based suggestions for the maintenance of critical assets and for the group-based  ...  Condition-based maintenance strategies adapt maintenance planning through the integration of online condition monitoring of assets.  ...  The authors would like to thank the reviewers for their valuable comments that helped to improve the clarity and completeness of the paper.  ... 
doi:10.1016/j.ress.2017.04.005 fatcat:n4w64bfpxneftnedysocpftala

Analysis of heavy truck maintenance issues

Sebastjan Škerlič, Edgar Sokolovskij
2020 Pomorstvo  
For this purpose, models related to fleet maintenance were analysed in terms of cost optimization, decision-making support and improving employees' maintenance competencies.  ...  The analysis of heavy truck maintenance issues therefore serves as empirical support for the improvement of maintenance processes in the addressed industry as well as in logistics in general.  ...  An analysis and synthesis of scientific works related to the field of maintenance in the road transport industry was conducted.  ... 
doi:10.31217/p.34.1.3 fatcat:2zab5gkhrjbn5mnjmtgatwwylm

Cloud-enabled prognosis for manufacturing

R. Gao, L. Wang, R. Teti, D. Dornfeld, S. Kumara, M. Mori, M. Helu
2015 CIRP annals  
These activities can improve accuracy and reliability in predicting resource needs and allocation, maintenance scheduling, and remaining service life of equipment.  ...  This paper reviews the historical development of prognosis theories and techniques and projects their future growth enabled by the emerging cloud infrastructure.  ...  Peng Wang and graphic support by Dr. Zhaoyan Fan. This work has been partially supported by the US National Science Foundation under awards CMMI-1300999 and CCF-1331850.  ... 
doi:10.1016/j.cirp.2015.05.011 fatcat:evyrmltqljd7bcieezh6euy6wm

Machine-Learning-Based Condition Assessment of Gas Turbines—A Review

Martí de Castro-Cros, Manel Velasco, Cecilio Angulo
2021 Energies  
This publication focuses on surveying the last decade of evolution of condition monitoring, diagnostic, and prognostic techniques using machine-learning (ML)-based models for the improvement of the operational  ...  Condition monitoring, diagnostics, and prognostics are key factors in today's competitive industrial sector.  ...  Acknowledgments: The authors would like to thank Davood Naderi and Edgar Bahilo from Siemens Energy, Service Oil & Gas Sweden and Stefano Rosso for his support and assistance during the elaboration of  ... 
doi:10.3390/en14248468 fatcat:kjngrifowfgo3epra4m752db7e

A Cyber Physical Interface for Automation Systems—Methodology and Examples

Hung-An Kao, Wenjing Jin, David Siegel, Jay Lee
2015 Machines  
However, for data analytics, the concept of CPS is relatively new, and a standard methodology is lacking on how to incorporate this type of interface for automation applications.  ...  This study discusses a modeling methodology for a cyber physical interface and presents the five levels of information for a cyber physical system, that range from the data connection level to the system  ...  Acknowledgments The work is supported by the NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems (IMS) at the University of Cincinnati as well as its company members.  ... 
doi:10.3390/machines3020093 fatcat:kj7bbb5hqzghrcwo4whsd7rqce

Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics

Juan José Montero Jimenez, Sébastien Schwartz, Rob Vingerhoeds, Bernard Grabot, Michel Salaün
2020 Journal of manufacturing systems  
Predictive maintenance is normally implemented by means of specialized computational systems that incorporate one of several models to fulfil diagnostics and prognostics tasks.  ...  As complexity of technological systems increases over time, single-model approaches hardly fulfil all functions and objectives for predictive maintenance systems.  ...  Two extensions of predictive maintenance are found in literature: Condition-Based Maintenance (CBM) and Prognostics and Health Management (PHM).  ... 
doi:10.1016/j.jmsy.2020.07.008 fatcat:jzm6js6y2vhdzphdn5aemzrdwe
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