... seeks to demonstrate how machine learning techniques can be used to automatically identify crack-related faults based on vibration signals, contributing to improved reliability, early fault detection, and maintenance decision-making in engineering applications. Design/methodology/approach...

... 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...

... are extracted from the speed profiles and used to develop a fault detection machine learning model. The proposed method is demonstrated using a real-life case of tea packaging machines. Findings Based on the limited data collected, the ensemble machine learning algorithm resulted in 88.4% accuracy...

... 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...

...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...

...Dustin Helm; Markus Timusk Purpose The purpose of this paper is to demonstrate that by utilizing the relationship between redundant hardware components, inherent in parallel machinery, vibration-based fault detection methods can be made more robust to changes in operational conditions. This work...

...) Pengyu Zhu can be contacted at: pengyu.zhu@uis.no 19 03 2018 19 03 2018 28 08 2018 15 10 2018 25 11 2018 © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Diagnosis Decision support system Fault detection Periodic...

... stage in a manufacturer's component failure analysis. Test engineers may use this technique to reliably automate the fault detection process and enable improved root‐cause analysis through the earlier identification of faults. Originality/value The application of the feature reduction technique...