... analytics with operational planning. Nooshin Salehabadi can be contacted at: nooshin.salehabadi@gmail.com 22 03 2026 18 05 2026 07 08 2026 26 08 2026 © Emerald Publishing Limited 2026 Emerald Publishing Limited Licensed re-use rights only Predictive maintenance...

... Learning models exhibit high computational complexity. The findings enable enterprises and industries to transition from reactive to predictive maintenance, which would help them reduce unplanned downtime and operational costs. This framework is consistent with Industry 5.0, wherein AI handles monitoring...

...Mohammad M. Hamasha Purpose This article aims to develop a business-centred, cost-sensitive and explainable predictive maintenance decision framework for public-service fleets with limited maintenance capacity. Design/methodology/approach The prediction layer is validated on the public AI4I...

...Ahmad Razavi; Mohammad R. Rasouli; Mir Saman Pishvaee; Engin Topan Purpose The purpose of this study is to develop and validate a robust framework for data-driven predictive maintenance (PdM) that estimates the remaining useful life (RUL) of equipment and signals the optimal time to initiate...

... to predictive maintenance for dosing systems, validated within the use case of exhaust gas after-treatment for diesel engines. Findings Experimental validation demonstrates a model accuracy within a standard deviation of 2.31 ml/min for volume flow monitoring, at a nominal flow of 3,000 ml/min...

... 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...

.... (2020) , the majority of Internet of Things (IOT), integrated CMMS platforms (ICMMS), and predictive maintenance algorithms (PMA) systems currently do not have real-time reliability modeling and instead depend on static (out-of-date) preventative maintenance periods. First, as stated by Shadekul Islam...

...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...

... was imperative to achieve substantial gains. Hélio Castro can be contacted at: hcc@isep.ipp.pt 19 05 2025 06 12 2025 21 12 2025 © Emerald Publishing Limited 2026 Emerald Publishing Limited Licensed re-use rights only Data-driven maintenance Predictive maintenance CMMS...

.... Redouane Zellagui can be contacted at: zellaguiredouane25@gmail.com 15 02 2024 31 01 2025 13 11 2025 © Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Maintenance policy Reliability Availability Predictive maintenance Refinery...

... productivity (Jardine et al., 2006). Maintenance strategies have evolved from reactive approaches, where actions are taken only after failures occur, to more advanced paradigms such as preventive and predictive maintenance. Predictive maintenance, in particular, leverages condition monitoring and data...

...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...

... 09 2023 15 11 2023 07 04 2024 10 11 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Condition monitoring Diagnosis Fault detection Industrial maintenance Predictive maintenance Machine learning...

...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 Intelligent total productive maintenance Industry 4.0 intelligent condition based maintenance Predictive maintenance OEE Long short term memory With the rapid growth...

...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...