Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

Abstract Accepted by: Aris Syntetos Machine learning (ML) has evolved into a crucial tool in
supply chain management, effectively addressing the complexities associated with decision …

The evolution from traditional industrial maintenance to sustainable maintenance (SM) is
pivotal within an existing industrial ecosystem. This study, utilising an umbrella review (UR) …

Hijacked from medical and health sciences, Systematic Literature Reviews (SLRs) are
widely (ab) used in many scientific domains. Considering the ability to provide transparency …

As a consequence of the application advanced maintenance practices, the theoretical
probability of failures occurring is relatively low. However, observations of low levels of …

All kinds of vessels consist of dozens of complex machineries with rotating parts and electric
motors that operate continuously in harsh environments with excess temperature, humidity …

Silicone rubber has emerged as a versatile material with significant advancements driving
its application in flexible electronics and healthcare devices. This review explores the cutting …

ABSTRACT ARTICLEINFO Maintenance plays an increasingly important role in the life of
production companies, as professional maintenance is an important prerequisite for the …

Aiming at the shortcomings of single-sensor sensing information characterization ability,
which is easily interfered with by external environmental factors, a method of intelligent …

A parameter sensitivity analysis is an important part of the stability study of hydro turbine
regulation systems, which helps operators to deepen their understanding of the …