Predictive maintenance (PdM) is a technique that keeps track of the condition and
performance of equipment during normal operation to reduce the possibility of failures …

Predictive maintenance is a well studied collection of techniques that aims to prolong the life
of a mechanical system by using artificial intelligence and machine learning to predict the …

This article aims to review the literature on condition-based maintenance (CBM) by
analyzing various terms, applications, and challenges. CBM is a maintenance technique that …

This paper presents and provides a realistic, yet synthetic, predictive maintenance dataset
for use in this paper and by the community. An explainable model and an explanatory …

The field of Explainable Predictive Maintenance (PM) is concerned with developing methods
that can clarify how AI systems operate in the PM domain. One of the challenges of creating …

Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions
between sophisticated intelligent systems and diverse individuals, including data scientists …

The fourth industrial revolution, colloquially referred to as “industry 4.0”, has garnered
substantial global attention in recent years. There, Artificial intelligence (AI) driven industrial …

This paper describes an example of an explainable AI (Artificial Intelligence)(XAI) in a form
of Predictive Maintenance (PdM) scenario for manufacturing. Predictive maintenance has …

The aim of predictive maintenance, within the field of prognostics and health management
(PHM), is to identify and anticipate potential issues in the equipment before these become …

In recent years, the fourth industrial revolution has attracted attention worldwide. Several
concepts were born in conjunction with this new revolution, such as predictive maintenance …