… This paper presents a review of machine learning methods for predictive maintenance. …
to this review (ie machine learning methods applied to predictive maintenance). For the SLR …

… field of predictive maintenance to … predictive maintenance is a hot topic in the context of
Industry 4.0 but with several challenges to be better investigated in the area of machine learning …

… Abstract—Condition monitoring together with predictive maintenance of electric motors and
… This paper describes a Machine Learning architecture for Predictive Maintenance, based …

… Abstract—In this paper a multiple classifier machine learning methodology for Predictive
Maintenance (PdM) is presented. PdM is a prominent strategy for dealing with maintenance …

… Hence, we aggregate this data on cloud and use machine learning to predict failures
beforehand to avoid major losses incurred by the firm if the machine stops for any reason and …

… In this context, optimisation of maintenance strategy is needed (De Carlo and Arleo …
maintenance costs, Predictive Maintenance (PdM) strategy might be suitable. Through predictive …

… automotive one, predictive maintenance is becoming more … We show that predictive
maintenance is possible and can … -of-the-box machine learning solutions, and identify areas where …

… learning and reinforcement learning algorithms and the associated typical applications in
predictive maintenance. … steps of machine learning applications in maintenance prediction. …

… In this section we survey and structure papers on machine learning-based predictive
maintenance for automotive systems. In total we surveyed 62 papers. The selection of the papers is …

… of the critical components of predictive maintenance; it is … maintenance, sometimes it is
required to build a model with minimal or no historical data. In such cases, unsupervised learning …