..., anomaly detection, and condition monitoring. Predictive maintenance is a data-intensive process that depends on historical and real-time data from sensors and monitored assets (Arena et al., 2021 ; Stefanini et al., 2023). Abnormal vehicle operating states can be detected from...

... maintenance activities. By integrating statistical modeling and machine learning techniques, the proposed framework aims to minimize unplanned downtimes, reduce maintenance costs and enhance operational efficiency. It addresses critical gaps in existing methods by providing real-time condition monitoring...

... of the PF-curve are far-reaching: it supports the transition from reactive to preventive and predictive maintenance, reduces unplanned downtime and optimizes resource allocation. Condition monitoring techniques such as vibration analysis, oil analysis and thermal imaging, as well as operating parameters...

...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...

..., along with a conclusive summary that encapsulates the core insights gained from the study, is presented coherently. Predictive maintenance decision Knowledge-informed learning Industrial machine Constrained Pareto optimization Condition monitoring Imbalanced failure propagation Zero-shot...

... 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...

... be contacted at: hany@paper.co 14 01 2022 10 05 2022 02 07 2022 © Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Pattern classification Condition monitoring Fault detection Rail wear Railway system is an essential mode...

... Condition monitoring Nowadays, a vast amount of research is going on in the areas of smart manufacturing and smart production. Smart manufacturing introduces inter-connected machinery for automating operations and using data analytics to achieve better industrial performance. All these concepts...

...Youn Ji Lee; Hyuk Jun Kwon; Yujin Seok; Sang Jeen Hong Purpose The purpose of this paper is to demonstrate industrial Internet of Things (IIoT) solution to improve the equipment condition monitoring with equipment status data and process condition monitoring with plasma optical emission...

... can be contacted at: javadgholami@mecheng.iust.ac.ir 11 03 2020 02 01 2021 17 06 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Condition monitoring Corrective maintenance Decision-making framework Fuzzy inference...

... V Bassem O.F. Al-Bedoor can be contacted at: albedoor@ju.edu.jo 01 04 2019 13 09 2019 06 02 2020 22 06 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Condition monitoring Diagnosis Quality control...

... Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Condition monitoring Vibration analysis Fault detection Another well-known technique for detection of faults in systems is analytical redundancy. This is defined as the use of at least two ways to determine...

... in which WFs are installed (Nie and Wang, 2013), as stated in Tian et al. (2011) , the type of maintenance that predominates can be summarized as condition-based maintenance (CBM) and the use of a condition monitoring system (CMS), which consists of a set of sensors that work holistically...

.... The purpose of this paper is to propose a just-in-time (JIT) spare parts availability approach by integrating condition monitoring (CM) with spare parts management by means of proportional hazards models (PHM) to eliminate some of the shortcomings of the spare parts demand forecasting methods. Design...

... of an innovative condition-based maintenance system designed to meet the requirements of twenty-first century airport systems and Industry 4.0. Design/methodology/approach An empirical experimental approach to this action research was taken to install a vibration condition monitoring pilot test in the north...

... with the primary frictional components: engine bearings, the valve train, and the piston assemblies, with the latter often credited with about half of the total” (p. 82). Thus, when studying machine health condition monitoring, Macian et al. (2013) stated that the following factors should be taken...

... in countries with similar operating conditions. Kurt Azevedo is the corresponding author and can be contacted at: kurtazevedo@icloud.com 25 02 2018 30 04 2018 02 05 2018 © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Condition...

...Maria Del Pilar Colin Hernandez; Ashraf Labib Purpose The purpose of this paper is to propose a model for assisting in the decision-making process for acquiring a condition monitoring (CM) system for an oil-immersed power transformer in order to improve its maintainability. Design/methodology...

... and people to function in all conditions. 28 11 2016 17 03 2017 06 04 2017 © Emerald Publishing Limited 2017 Emerald Publishing Limited Licensed re-use rights only Online and integrated condition monitoring (CM) systems are currently of international focus in the vast...

...Bernard Schmidt; Kanika Gandhi; Lihui Wang; Diego Galar Purpose The purpose of this paper is to exemplify and discuss the context aspect for predictive analytics where in parallel condition monitoring (CM) measurements data and information related to the context are gathered and analysed...