Proceedings of the UNIfied Conference of DAMAS, IncoME VIII and TEPEN Conferences: UNIfied 2024 - Volume 1
Author:   Maneesh Singh ,  Gunjan Soni ,  Jyoti Sinha ,  Andrew D. Ball
Publisher:   Springer International Publishing AG
Volume:   181
ISBN:  

9783031933264


Pages:   500
Publication Date:   12 August 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
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Proceedings of the UNIfied Conference of DAMAS, IncoME VIII and TEPEN Conferences: UNIfied 2024 - Volume 1


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Overview

This volume gathers the latest advances, innovations and applications in the field of condition monitoring, damage assessment and maintenance engineering, as presented by leading international researchers and engineers at the UNIfied Conference of DAMAS (International Conference on Damage Assessment of Structures), IncoME  (International Conference on Maintenance Engineering) and TEPEN (The Efficiency and Performance Engineering), held in Jaipur, India on November 26-28, 2024. Topics include sensors and measurement systems, condition monitoring and predictive maintenance, machine health monitoring, maintenance organisation & performance measurement, Industrial Internet of Things (IIoT), cyber physical systems, machine learning in maintenance and production environment, plant maintenance, asset management, reliability, artificial intelligence and related areas, life cycle cost optimisation, health management. The contributions, which were selected through a rigorous internationalpeer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.

Full Product Details

Author:   Maneesh Singh ,  Gunjan Soni ,  Jyoti Sinha ,  Andrew D. Ball
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   181
ISBN:  

9783031933264


ISBN 10:   3031933265
Pages:   500
Publication Date:   12 August 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Artificial Intelligence to Measure Idle Time of an Assembly Line Worker.- Predictive Modeling of Surface Roughness in Abrasive Machining Operation Using Machine Learning.- Biometric based Secured Voting System for Election.- Bearing Fault Diagnosis and Generalization Error Analysis Based on Transfer Learning.- Framework for a Non-Intrusive Monitoring Solution for Independent Elderly.- Machine Learning-Driven Clustering Based Environmental, Social, and Governance Performance Prediction Model.

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