Deep learning based prognostic framework towards proton exchange membrane fuel cell for automotive application
Currently, the larger-scaled commercialization of fuel cell technology is considerably
impeded by the limited durability of fuel cells. Prognostics and health management (PHM) is …
impeded by the limited durability of fuel cells. Prognostics and health management (PHM) is …
A hybrid of variable neighbor search and fuzzy logic for the permutation flowshop scheduling problem with predictive maintenance
This study focuses on permutation flowshop scheduling problem (PFSP) under availability
constraints with makespan and maintenance cost optimization criteria. Machines …
constraints with makespan and maintenance cost optimization criteria. Machines …
Hybrid of metaheuristic approaches and fuzzy logic for the integrated flowshop scheduling with predictive maintenance problem under uncertainties
Maintenance interventions must be properly integrated in the production scheduling in order
to prevent failure risks. In this context, we investigate the permutation flowshop scheduling …
to prevent failure risks. In this context, we investigate the permutation flowshop scheduling …
Post-prognostics decision making in distributed MEMS-based systems
In this paper, the problem of using prognostics information of micro-electro-mechanical
systems (MEMS) for post-prognostics decision in distributed MEMS-based systems is …
systems (MEMS) for post-prognostics decision in distributed MEMS-based systems is …
Exact and heuristic algorithms for post prognostic decision in a single multifunctional machine
Exact and heuristic algorithms for post prognostic decision in a single multifunctional machine
Page 1 Exact and heuristic algorithms for post prognostic decision in a single multifunctional …
Page 1 Exact and heuristic algorithms for post prognostic decision in a single multifunctional …
Prognostics of a multistack PEMFC system with multiagent modeling
Current research on prognostics of PEMFC mainly focuses on one stack. However, in
practice, the PEMFC stacks are assembled together to provide higher and more reliable …
practice, the PEMFC stacks are assembled together to provide higher and more reliable …
An integrated prognostic based hybrid genetic-immune algorithm for scheduling jobs and predictive maintenance
Recently, Prognostics and Health Management (PHM) reveals to be a key feature for
industrials as it should improve manufacturing system availability and allow avoiding …
industrials as it should improve manufacturing system availability and allow avoiding …
Post-prognostics decision in cyber-physical systems
Prognostics and Health Management (PHM) offers several benefits for predictive
maintenance. It predicts the future behavior of a system as well as its Remaining Useful Life …
maintenance. It predicts the future behavior of a system as well as its Remaining Useful Life …
A Post-Prognostics Decision framework for cell site using Cloud Computing and Internet of Things
Maintenance is one of the main factors of production process. The aim of maintenance
strategy is not just to repair and maintain equipment in a good condition, but to implement …
strategy is not just to repair and maintain equipment in a good condition, but to implement …
[PDF][PDF] A process-based review of post-prognostics decision-making
K Wesendrup, B Hellingrath - A. Bregon & K. Medjaher (Chairs) …, 2020 - researchgate.net
Condition-based maintenance (CBM) and prognostics and health management (PHM) are
established paradigms that evidently offer a competitive advantage to a company. However …
established paradigms that evidently offer a competitive advantage to a company. However …