... attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY 4.0 licence . Industrial maintenance Predictive maintenance Maintenance function Maintenance process Human factors The research work is a part of the Industrial...

...Youssef Sadraoui; Mohamed Er-Ratby; Moulay Saddik Kadiri; Abdessamad Kobi Purpose This study aims to evaluate and enhance maintenance strategies for wind turbines by transitioning from conventional fixed interval preventive maintenance to optimized and predictive maintenance approaches...

...Rafael Oliveira Silva; Fabio Roberto Chavarette; Roberto Outa Purpose The purpose of this study is to develop and evaluate a data-driven framework for vibration-based condition monitoring aimed at supporting predictive maintenance of polymeric components in rotating mechanical systems. The work...

... Limited 2026 Emerald Publishing Limited Licensed re-use rights only CMMS RBEM Medical equipment maintenance Healthcare device reliability Preventive maintenance Predictive maintenance Despite their critical importance, healthcare organization medical equipment management (EM) still...

...Khamiss Cheikh; EL Mostapha Boudi; Rabi Rabi; Hamza Mokhliss Purpose The purpose of this study is to develop a scalable and privacy-preserving predictive maintenance framework for wind farms by addressing the challenges of heterogeneous multi-component degradation. By combining stochastic physics...

...Seema Nagrani; Vaibhav S. Narwane Purpose A Digital Twin (DT) is an advanced technology used in predictive maintenance (PdM) to enhance efficiency and reduce downtime. However, adopting DT in PdM is challenging. The focus of this study is to identify the key factors influencing the adoption of DT...

... of an injection machine. Section 1 presents the introduction to the topic, which contextualises the importance of predictive maintenance in industry, focusing on the context of Industry 4.0. Section 2 reviews the literature, exploring the different types of maintenance with a focus on predictive maintenance...

... perspective. The approach is based on a new life cycle model for product development and integrates this model into the safety life cycle of IEC 61508. The probability density of a Weibull distribution has the expression (1). Maintenance policy Reliability Availability Predictive maintenance...

...-driven approaches, such as Internet of Things (IoT) and predictive maintenance, facilitating more realistic and adaptive maintenance simulations. Despite the growing interest in applying ABM to maintenance, there is still a limited understanding of how it has been employed across different industrial...

...Seema Nagrani; Vaibhav S. Narwane Purpose In Industry 4.0, different technologies are used to improve the efficiency and reduce the downtime of the processes in the organization. It can be achieved by using predictive maintenance (PdM) technique to avoid the sudden breakdowns in the industry...

... Emerald Publishing Limited Licensed re-use rights only Condition monitoring Diagnosis Fault detection Industrial maintenance Predictive maintenance Machine learning In the semiconductor manufacturing industry, high utilization and low operation cost of equipment have become...

...Rommel Stiward Prieto; Diego Alberto Bravo Montenegro; Carlos Rengifo Purpose The purpose of this paper is to approach predictive maintenance (PdM) of brushless direct current (BLDC) motors using audio signal processing and extracting statistical and spectral features to train classical machine...

...) for predictive maintenance strategy. Findings A process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis...

... 10 02 2023 © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only SVR is used to predict the cutting tool’s life (Liu et al., 2019). AI based predictive maintenance technique is implemented to handle the health status of industrial equipment...

...Roman Fedorov; Dmitry Pavlyuk Purpose Research questions: Is there a systemic relationship between different methods of screening candidates for predictive maintenance? How do the goals of a predictive project influence the choice of a dropout method? How do the company’s characteristics...

...Roberta Stefanini; Giovanni Paolo Carlo Tancredi; Giuseppe Vignali; Luigi Monica Purpose In the context of the Industry 4.0, this paper aims to investigate the state of the art of Italian manufacturing, focusing the attention on the implementation of intelligent predictive maintenance (IPdM...

...D. Divya; Bhasi Marath; M.B. Santosh Kumar Purpose This study aims to bring awareness to the developing of fault detection systems using the data collected from sensor devices/physical devices of various systems for predictive maintenance. Opportunities and challenges in developing anomaly...

... plant. Findings Maintenance practices can effectively contribute to increasing the overall equipment effectiveness (OEE) of firms. Application of predictive maintenance practices should be considered as the primary training tool. Research limitations/implications This study used a secondary...

...Laura Isabel Alvarez Quiñones; Carlos Arturo Lozano-Moncada; Diego Alberto Bravo Montenegro Purpose The purpose of this paper is to describe a methodology that has been set up to schedule predictive maintenance of distribution transformers at Cauca Department (Colombia) using machine learning...

.... Operational performance Maintenance planning System design Complex multiple units system Statistic model Predictive maintenance Dynamic program Solid oxide fuel cell Parametric distributions are used to generate hazard and reliability functions, for example to describe the behavior of systems...