Accurate remaining useful life (RUL) prediction for rolling bearings encounters many
challenges such as complex degradation processes, varying working conditions, and …

Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …

The integration of automation and process optimization within the context of AI-powered
digital transformation has emerged as a pivotal strategy for organizations aiming to enhance …

Featured Application Maintaining production systems within Industry 4.0 facilitates the
application of artificial intelligence methods, techniques and tools to predict potential failures …

Recent advances in artificial intelligence (AI) and data analytics (DA) could provide
opportunities for the fault management and the decision-making of the urban wastewater …

This paper presents a detailed framework for Condition Monitoring (CM) based on hydraulic
systems and multi-sensor data. Nowadays, the CM technique is increasingly deployed for …

The increase in available data from sensors embedded in industrial equipment has led to a
recent rise in the use of industrial predictive maintenance. In the aircraft industry, predictive …

Accurate rolling bearing remaining useful life (RUL) prediction is significant to evaluate
machine health state. The condition monitoring signals of rolling bearings contain amounts …

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 …

The availability of computational power in the domain of Prognostics and Health
Management (PHM) with deep learning (DL) applications has attracted researchers …