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How AI Affects the Future Predictive Maintenance: A Primer of Deep Learning

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Advanced Manufacturing and Automation VII (IWAMA 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 451))

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Abstract

We are in the midst of the industry 4.0 or the fourth industry revolution, a transformation revolving around intelligent sensors, machines, networks and business. Some of the newer concepts are overwhelming by their impact, and transformational technologies are just the tip of the iceberg. Artificial Intelligence, mainly Computational Intelligence will greatly affect future human’s life, economics, business, industries and even political systems. In this paper, we only discuss about the impact of AI to future predictive maintenance, which is an important parts of future advanced production systems. Specially we focus on Deep Learning (DL) technology, which is one branch of Artificial Neural Networks (ANN) and try to answer some questions on what DL is and why we are interested in applying DL in predictive maintenance strategy today.

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Author information

Authors and Affiliations

  1. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU), NO 7491, Trondheim, Norway

    Kesheng Wang

  2. School of Business, Plymouth University, Plymouth, UK

    Yi Wang

Authors
  1. Kesheng Wang
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  2. Yi Wang
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Corresponding author

Correspondence to Yi Wang .

Editor information

Editors and Affiliations

  1. Department of Production and Quality Engineering, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag Fylke, Norway

    Kesheng Wang

  2. School of Business, Plymouth University, Plymouth, United Kingdom

    Yi Wang

  3. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag Fylke, Norway

    Jan Ola Strandhagen

  4. Shanghai Second Polytechnic University, Shanghai, China

    Tao Yu

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Wang, K., Wang, Y. (2018). How AI Affects the Future Predictive Maintenance: A Primer of Deep Learning. In: Wang, K., Wang, Y., Strandhagen, J., Yu, T. (eds) Advanced Manufacturing and Automation VII. IWAMA 2017. Lecture Notes in Electrical Engineering, vol 451. Springer, Singapore. https://doi.org/10.1007/978-981-10-5768-7_1

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  • DOI: https://doi.org/10.1007/978-981-10-5768-7_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5767-0

  • Online ISBN: 978-981-10-5768-7

  • eBook Packages: EngineeringEngineering (R0)

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