… a broad first review of research relating to the advanced use in smart manufacturing of
machine learning techniques for predictive maintenance. This study aims to promote a better …

… Predictive maintenance has emerged as a valuable strategy to mitigate these risks by using
… maintenance proactively. This review highlights advancements in predictive maintenance …

… least advanced, experience-based route by separating the methods that use historical records
(data) and those that only use experts’ knowledge and the experience of people who use …

… The recent advance of digital twin (DT) has greatly facilitated the development of predictive
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …

… review of the advancements in predictive maintenance within the oil and gas industry, …
have transformed maintenance practices from traditional methods to more advanced, predictive …

… predictive maintenance models in Industry 4.0 by identifying and categorizing the life cycle of
maintenance … Indeed, after the advance of Industry 4.0, Maintenance 4.0 is becoming more …

… of the art of predictive maintenance approaches and … maintenance framework - Intelligent
Maintenance, and discuss its key components. This AI and IIoT based Intelligent Maintenance …

… the Industry 4.0 paradigms, maintenance software needs to be improved in terms of asset
availability and maintenance operations, predictive maintenance and analytics, and improved …

… This paper looks at how to support predictive maintenance in the … architecture supports the
predictive maintenance using FIWARE … Predictive Maintenance systems facilitates advanced …

… the most advanced deep learning methods typically employed for predictive maintenance in
… artificial intelligence and machine learning that uses multilayer artificial neural networks to …