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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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Table of contents (38 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Towards Reinforcement Learning Control of an Electromechanical Pinball Machine

    • Mirco Alpen, Sven Herzig, Joachim Horn
    Pages 1-11

  3. The Research of Civil Aero-Engine Remaining Useful Life Estimation Based on Gaussian Process

    • Rui Wu, Chao Liu, Dongxiang Jiang
    Pages 12-23

  4. Spare Part Management Considering Risk Factors

    • Reza Barabadi, Mohamad Ataei, Reza Khalokakaie, Abbas Barabadi, Ali Nouri Qarahasanlou
    Pages 24-39

  5. Analysis of Breakdown Reports Using Natural Language Processing and Machine Learning

    • Mobyen Uddin Ahmed, Marcus Bengtsson, Antti Salonen, Peter Funk
    Pages 40-52

  6. An ICT System for Gravel Road Maintenance – Information and Functionality Requirements

    • Mirka Kans, Jaime Campos, Lars Håkansson
    Pages 53-64

  7. Autonomous Anomaly Detection and Handling of Spatiotemporal Railway Data

    • Murat Kulahci, Bjarne Bergquist, Peter Söderholm
    Pages 65-72

  8. An ILP Approach for the Maintenance Crew Scheduling Problem Considering Skillsets

    • Tiago Alves, António R. Andrade
    Pages 73-85

  9. Availability Importance Measure for Various Operation Condition

    • Abbas Barabadi, Ali Nouri Qarahasanlou, Ali Hazrati, Ali Zamani, Mehdi Mokhberdoran
    Pages 86-98

  10. Industrial Equipment’s Throughput Capacity Analysis

    • Ali Nouri Qarahasanlou, Ali Hazrati, Abbas Barabdi, Aliasqar Khodayari, Mehdi Mokhberdoran
    Pages 99-111

  11. The Effect of Risk Factors on the Resilience of Industrial Equipment

    • Abbas Barabadi, Ali Nouri Qarahasanlou, Adel Mottahedi, Ali Rahim Azar, Ali Zamani
    Pages 112-127

  12. Analysis of Systematic Influences on the Insulation Resistance of Electronic Railway Interlocking Systems

    • Judith Heusel, Jörn C. Groos
    Pages 128-140

  13. Study on the Condition Monitoring Technology of Electric Valve Based on Principal Component Analysis

    • Renyi Xu, Minjun Peng, Hang Wang
    Pages 141-151

  14. Multivariate Alarm Threshold Design Based on PCA

    • Yue Yu, Minjun Peng, Hang Wang, Zhanguo Ma
    Pages 152-162

  15. Evaluation of Contact-Type Failure Using Frequency Fluctuation Caused by Nonlinear Wave Modulation Utilizing Self-excited Ultrasonic Vibration

    • Takashi Tanaka, Yasunori Oura, Syuya Maeda, Zhiqiang Wu
    Pages 163-175

  16. Bearing Lubricant Corrosion Identification Through Transfer Learning

    • Richard Bellizzi, Jason Galary, Alfa Heryudono
    Pages 176-188

  17. Combining the Spectral Coherence with Informative Frequency Band Features for Condition Monitoring Under Time-Varying Operating Conditions

    • Stephan Schmidt, P. Stephan Heyns, Konstantinos C. Gryllias
    Pages 189-201

  18. Blockchain Technology for Information Sharing and Coordination to Mitigate Bullwhip Effect in Service Supply Chains

    • Muthana Al-Sukhni, Athanasios Migdalas
    Pages 202-211

  19. Data Driven Maintenance: A Promising Way of Action for Future Industrial Services Management

    • Mirka Kans, Anders Ingwald, Ann-Brith Strömberg, Michael Patriksson, Jan Ekman, Anders Holst et al.
    Pages 212-223

  20. Rail View, Sky View and Maintenance Go – Digitalisation Within Railway Maintenance

    • Rikard Granström, Peter Söderholm, Stefan Eriksson
    Pages 224-239
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  1. International Congress and Workshop on Industrial AI 2021

Keywords

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.

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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