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Exploring predictive maintenance applications in industry [PDF]
, 2022 Purpose - Asset owners and maintainers need to make timely and well-informed maintenance decisions, based on the actual or predicted condition of their physical assets.
Tinga, Tiedo; id_orcid +3 more
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Maintenance Costs and Advanced Maintenance Techniques: Survey and Analysis
International Journal of Prognostics and Health Management, 2021 The costs/benefits associated with investing in advanced maintenance techniques is not well understood. Using data collected from manufacturers, we estimate the national losses due to inadequate maintenance and make comparisons between those that rely on
Douglas S Thomas, Brian Weiss
doaj +1 more source
Railway Renewal and Maintenance Cost Estimating [PDF]
, 2005 The aim of this thesis is to present a structured methodology which estimates Railway Infrastructure renewal and maintenance costs when there is a lack of quantitative cost data at the early stages of the project life cycle.
Ling, Daniel
core +7 more sources
Towards Designing a User-centric Decision Support System for Predictive Maintenance in SMEs
, 2021 In manufacturing, small and medium-sized enterprises (SMEs) face global competition. In the field of predictive maintenance (PdM), artificial intelligence (AI) helps to prevent machine failures and has the potential to significantly reduce costs and ...
Lowin, Maximilian +3 more
core +1 more source
Supporting the Implementation of Predictive Maintenance
International Journal of Prognostics and Health Management, 2021 The perception of predictive maintenance as a proactive maintenance strategy to anticipate and reduce severe and costly failures and by thus increasing asset reliability has grown significantly in recent years.
Carolin Wagner, Bernd Hellingrath
doaj +1 more source
On the relevance of preprocessing in predictive maintenance for dynamic systems [PDF]
, 2018 The complexity involved in the process of real-time data-driven monitoring dynamic systems for predicted maintenance is usually huge. With more or less in-depth any data-driven approach is sensitive to data preprocessing, understood as any data treatment
Cernuda C., Carlos Cernuda, Cernuda, C.
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Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines [PDF]
, 2022 peer reviewedIn the context of Industry 4.0, companies understand the advantages of performing Predictive Maintenance (PdM). However, when moving towards PdM, several considerations must be carefully examined. First, they need to have a sufficient number
Robert, Jérémy +5 more
core +1 more source
A NEW AIRCRAFT MAINTENANCE APPROACH BASED ON THE MARKOV CHAINS [PDF]
Annals: Series on engineering sciences (Academy of Romanian Scientists), 2021 In the past, traveling by plane was a luxury, today it is one of the most desired transport options in the world, being at the same time accessible and safe.
Alexandru Gabriel ANDREI +3 more
doaj
Advances of Digital Twins for Predictive Maintenance [PDF]
Procedia Computer Science, 2022 Digital twins (DT), aiming to improve the performance of physical entities by leveraging the virtual replica, have gained significant growth in recent years. Meanwhile, DT technology has been explored in different industrial sectors and on a variety of topics, e.g., predictive maintenance (PdM). In order to understand the state-of-the-art of DT in PdM,
Yingchao You +4 more
openaire +1 more source
A Data Scientific Approach Towards Predictive Maintenance Application in Manufacturing Industry [PDF]
, 2022 Most industries have recently started to harness the power of data to assess their performance and improve their production systems for future competitiveness and sustainability.
Vasudevan, Adarsh +9 more
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