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International Congress and Workshop on Industrial AI 2021

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Ramin Karim

    1. Division of Operation and Maintenance Engineering, Luleå University of Technology, Luleå, Sweden

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  2. Alireza Ahmadi

    1. Division of Operation and Maintenance Engineering, Luleå University of Technology, Luleå, Sweden

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  3. Iman Soleimanmeigouni

    1. Division of Operation and Maintenance Engineering, Luleå University of Technology, Luleå, Sweden

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  4. Ravdeep Kour

    1. Division of Operation and Maintenance Engineering, Luleå University of Technology, Luleå, Sweden

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  5. Raj Rao

    1. COMADEM International, Birmingham, UK

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  • Presents the latest research in AI and how it can be applied to various industries
  • Provides insight into the challenges and opportunities presented by the implementation of AI in industries
  • Unites expert knowledge across disciplines to promote the maintenance revolution

Part of the book series: Lecture Notes in Mechanical Engineering (LNME)

Included in the following conference series:

Conference proceedings info: IAI 2021.

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About this book

This proceedings of the International Congress and Workshop on Industrial AI 2021 encompasses and integrates the themes and topics of three conferences, eMaintenance, Condition Monitoring and Diagnostic Engineering management (COMADEM), and Advances in Reliability, Maintainability and Supportability (ARMS) into a single resource. 


The 21st century is witnessing the emerging extensive applications of Artificial Intelligence (AI) and Information Technologies (IT) in industry. Industrial Artificial Intelligence (IAI) integrates IT with Operational Technologies (OT) and Engineering Technologies (ET) to achieve operational excellence through enhanced analytics in operation and maintenance of industrial assets. 


This volume provides insight into opportunities and challenges caused by the implementation of AI in industries apart from future developments with special reference to operation and maintenance of industrial assets. Industry practitioners in the maintenance field as well as academics seeking applied research in maintenance will find this text useful.

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Table of contents (38 papers)

  1. Reality Lab Digital Railway – Digitalisation for Sustainable Development

    • Peter Söderholm, Veronica Jägare, Ramin Karim
    Pages 240-255

  2. An Integrated Procedure for Dynamic Generation of the CRC in View of Safe Wireless Communication

    • Larissa Gaus, Michael Schwarz, Josef Börcsök
    Pages 256-265

  3. Operational Security in the Railway - The Challenge

    • Ravdeep Kour, Adithya Thaduri, Ramin Karim
    Pages 266-277

  4. Design for Vibration-Based Fault Diagnosis Model by Integrating AI and IIoT

    • Natalia F. Espinoza-Sepulveda, Jyoti K. Sinha
    Pages 278-285

  5. Statistical Representation of Railway Track Irregularities Using Wavelets

    • Mariana A. Costa, António R. Andrade, João N. Costa
    Pages 286-299

  6. Use of Artificial Intelligence in Mining: An Indian Overview

    • Pragya Shrivastava, G. K. Pradhan
    Pages 300-306

  7. Symbolic Representation of Knowledge for the Development of Industrial Fault Detection Systems

    • Andrew Young, Graeme West, Blair Brown, Bruce Stephen, Craig Michie, Stephen McArthur
    Pages 307-318

  8. A Novel Intelligent Compound Fault Diagnosis Method for Piston Engine Valves Using Improved Deep Convolutional Neural Network

    • Yufeng Guan, GuanZhou Qin, Jinjie Zhang, Zhiwei Mao
    Pages 319-329

  9. Multi-unit Fusion Learning in the Application of Gearbox Fault Intelligent Classification Under Uncertain Speed Condition

    • Yinghao Li, Lun Lin, Xiaoxi Ding, Liming Wang, Yimin Shao
    Pages 330-341

  10. Fault Diagnosis Capability of Shallow vs Deep Neural Networks for Small Modular Reactor

    • Hanan Ahmed Saeed, Peng Min-jun, Hang Wang
    Pages 342-351

  11. Smart Online Monitoring of Industrial Pipeline Defects

    • Jyoti K. Sinha, Kassandra A. Papadopoulou
    Pages 352-359

  12. Validation Framework of Bayesian Networks in Asset Management Decision-Making

    • Stephen Morey, Gopinath Chattopadhyay, Jo-ann Larkins
    Pages 360-369

  13. Enterprise Modeling for Dynamic Matching of Tactical Needs and Aircraft Maintenance Capabilities

    • Ella Olsson, Olov Candell, Peter Funk, Rickard Sohlberg
    Pages 370-383

  14. Design and Economic Analyses of Wind Farm Using Meta-heuristic Techniques

    • Suchetan Sasis, Sachin Kumar, R. K. Saket
    Pages 384-392

  15. Estimation of User Base and Revenue Streams for Novel Open Data Based Electric Vehicle Service and Maintenance Ecosystem Driven Platform Solution

    • Lasse Metso, Ari Happonen, Matti Rissanen
    Pages 393-404

  16. Multiclass Bearing Fault Classification Using Features Learned by a Deep Neural Network

    • Biswajit Sahoo, A. R. Mohanty
    Pages 405-414

  17. SVM Based Vibration Analysis for Effective Classification of Machine Conditions

    • D. Ganga, V. Ramachandran
    Pages 415-423

  18. An Experimental Study on Railway Ballast Degradation Under Cyclic Loading

    • Elahe Talebiahooie, Florian Thiery, Hans Mattsson, Matti Rantatalo
    Pages 424-433

  19. Research on Visual Detection Method of Cantilever Beam Cracks Based on Vibration Modal Shapes

    • Rongfeng Deng, Yubin Lin, Baoshan Huang, Hui Zhang, Fengshou Gu, Andrew D. Ball
    Pages 434-444

  20. Back Matter

    Pages 445-446
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Other volumes

  1. International Congress and Workshop on Industrial AI 2021

Editors and Affiliations

  • Division of Operation and Maintenance Engineering, Luleå University of Technology, Luleå, Sweden

    Ramin Karim, Alireza Ahmadi, Iman Soleimanmeigouni, Ravdeep Kour

  • COMADEM International, Birmingham, UK

    Raj Rao

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