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Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023)

Volume 1

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Andrew D. Ball

    1. University of Huddersfield, Huddersfield, UK

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  2. Huajiang Ouyang

    1. Foundation Building, University of Liverpool, Liverpool, UK

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  3. Jyoti K. Sinha

    1. University of Manchester, Manchester, UK

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  4. Zuolu Wang

    1. University of Huddersfield, Huddersfield, UK

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  • Presents recent trends in maintenance engineering, condition monitoring and reliability
  • Written by leading experts in the field
  • Offers essential insights into a wide range of topics

Part of the book series: Mechanisms and Machine Science (Mechan. Machine Science, volume 151)

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About this book

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) Conferences, held in Huddersfield, UK on August 29 – September 1, 2023. Topics include machinery dynamics, sensors and measurement systems, signal processing, structural damage identification and machine fault diagnosis, plant maintenance and reliability, machine health monitoring, asset management, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. 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.

Keywords

Table of contents (97 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. A Remaining Useful Life Prediction Technique for Rolling Element Bearings Based on Deep Temporal Feature Transfer

    • Yajun Shang, David Mba, Xiaochuan Li, Tian Ran Lin
    Pages 1-12

  3. A Miniaturized Acoustic Metamaterial for Weak Signal Detection

    • Huafei Pan, Shenglan Liu, Xiaoxi Ding, Jiawei Xiao, Xin Li, Ying Zhang et al.
    Pages 13-23

  4. A Machine Learning Approach for Reliable Object Tracking

    • Bisma Amjad, Qasim Z. Ahmed, Pavlos Lazaridis, Faheem Khan, Maryam Hafeez, Zaharias D. Zaharis
    Pages 25-35

  5. Numerical Analysis of Low Energy High Frequency Laser Shock Processing of Polycrystalline Diamond

    • Priyanka Ghosh, Manuela Pacella, Mahdi Mohammadpour, Anish Roy
    Pages 37-46

  6. Tribology and Characterization of Dynamically-Loaded Crankshaft Main Bearings with Surface Roughness

    • Yang Chen, Zhifeng Hu, Hao Zhang, Zhanqun Shi, Fengshou Gu
    Pages 47-62

  7. Virtual Sensor Implementation in Hydroelectric Turbines: A Digital Twin Approach for Clearance Violation Analysis

    • Matías Marticorena, Rodrigo Mayer, Juan Vignolo, Daniel Vaccaro, Oscar García Peyrano
    Pages 63-77

  8. Energy Harvesting Enhancement by Vibration Mode Coupling of Piezoelectric Cantilever Beam

    • Weiqiang Mo, Shiqing Huang, Yubin Lin, Baoshan Huang, Wei Wang, Fengshou Gu et al.
    Pages 79-90

  9. A Degradation Trend Dynamic Prediction Method for Rolling Bearing Health Status Evaluation

    • Hui Qiao, Zhenyu Chen, Wenhao Chen, Ying Zhang, Zhao Huang, Huafei Pan et al.
    Pages 91-104

  10. Extension of Harmonic Product Spectrum and Its Application in Bearing Condition Monitoring

    • Bingyan Chen, Shengbo Wang, Yao Cheng, Fengshou Gu, Weihua Zhang, Zewen Zhou et al.
    Pages 105-118

  11. Metamaterial Structural Design for Low-Frequency Vibration Attenuation in a Drone-Based Image Monitoring System

    • Yubin Lin, Zujian Zhang, Shiqing Huang, Rongfeng Deng, Yousif Muhamedsalih, Fengshou Gu et al.
    Pages 119-128

  12. Thermal Safety Analysis of Lithium-Ion Traction Batteries Based on Electrode Thermal Stability

    • Tianyi Ma, Liqiong Han, Fang Wang, Shiqiang Liu, Xiaole Ma, Weina Wang et al.
    Pages 129-141

  13. Life Cycle Management of Hospital Physical Assets Waste Elimination

    • Hugo Raposo, José Torres Farinha, J. Edmundo de-Almeida-e-Pais, Jorge Raposo
    Pages 143-174

  14. Full-Field Out-of-Plane Displacement Measurement Using Microwave Holographic Interferometry

    • Gaoyang Wu, Yuyong Xiong, Zhaoyu Liu, Guang Meng, Zhike Peng
    Pages 175-184

  15. Multiscale Spectral–Spatial Capsule Neural Network for Hyperspectral Image Classification

    • Weiye Wang, Yuanping Xu, Zhijie Xu, Chao Kong, Xuemei Niu, Jian Huang
    Pages 185-194

  16. Detection of Small-Amplitude Hunting Motion in High-Speed Trains Under Extreme Data Imbalance

    • Jing Ning, Zixuan Hong, Yunzhi Ning, Siyu Wen, Jiangang Zhao, Chunjun Chen
    Pages 195-205

  17. Simulation Analysis of Battery Pack Bottom Ball Strike Based on LS-DYNA

    • Pengfei Yan, Yan Gao, Fang Wang, Tianyi Ma, Guanglei Zhao
    Pages 207-222

  18. Updated Finite Element Model of Axial Piston Pump for Machine Learning-Based Failure Detection

    • Vijayasankar Irissappane, Vikas Arora, Luis David Avendaño-Valencia, Christian Svendsen
    Pages 223-234

  19. Application of Machine Learning Algorithm for Fault Detection in Pump

    • Aasma Bhattarai, Amit Gupta, Abishek Kafle, Prajwal Sapkota, Sailesh Chitrakar, Ole Gunnar Dahlhaug et al.
    Pages 235-247

  20. Neural Network-Based Terminal Sliding Mode Controller Design for Manipulator Systems

    • Lufeng Qu, Qiming Fan, Yang Kang, Jun Yang
    Pages 249-258
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Other volumes

  1. Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023)

  2. Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023)

Editors and Affiliations

  • University of Huddersfield, Huddersfield, UK

    Andrew D. Ball, Zuolu Wang

  • Foundation Building, University of Liverpool, Liverpool, UK

    Huajiang Ouyang

  • University of Manchester, Manchester, UK

    Jyoti K. Sinha

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