Predictive maintenance is the most recent technique in maintenance engineering. Machine operational parameters are used to assess the health of equipment and decide on maintenance schedule. In Aviation, aircraft engine manufacturers continuously monitor their engine parameters in flight to evaluate performance and deviations from normal.

Application of AI in this field enables measurement of behavior that is not observable using traditional means. AI based monitoring provides the edge required to operate in Industry 4.0 where connected machines do away with buffers in between processes and any unscheduled downtime of one machine effects the entire production chain.

This demonstration will walk you through the development of AI models using IoT data for one of the largest metal manufacturing company in India. It will help you master different types of AI models to answer questions like

  • When do I plan the maintenance of a given equipment?
  • Will a component last till the next maintenance cycle or do I replace it during the current maintenance?
  • How to identify faulty equipment in the long production line?
 
 

Outline/Structure of the Demonstration

The demonstration is structured as follows

  • Brief introduction to maintenance techniques (2 mins)
  • Predictive maintenance - traditional approaches (2 mins)
  • AI models for machine health monitoring
    • Anomaly detection techniques for (6 mins)
      • Steady state operation - elliptic envelope & isolation forest
      • Varying load cycles - regression & boosting models
    • Time to failure / remaining useful life prediction - survival models & forecasting (5 mins)
    • Locating faulty equipment in a long process chain (3 mins)
  • More applications (2 mins)

Learning Outcome

As you participate in this demonstration, you will learn and master the skills required to build and deploy your own AI model for machine performance monitoring.

Target Audience

Practitioners in Industry 4.0, Internet of Things (IoT), Manufacturing, Reliability & Maintenance

Prerequisites for Attendees

Basic understanding of maintenance and reliability.

schedule Submitted 8 months ago

Public Feedback

comment Suggest improvements to the Author
  • Madalasa Venkataraman
    By Madalasa Venkataraman  ~  7 months ago
    reply Reply

    Thanks Sri! Can you give us a bit more of details where you discuss techniques used and how extensive your own work in this area has been?

    • Dr. Sri Vallabha Deevi
      By Dr. Sri Vallabha Deevi  ~  7 months ago
      reply Reply

      Hi Madalasa,

      I have added details of the techniques and work in this area. Please let me know if you want more information.

      Thank you.

  • Natasha Rodrigues
    By Natasha Rodrigues  ~  8 months ago
    reply Reply

    Hi Dr.Sri,

    Thanks for your proposal! Requesting you to update the Outline/Structure section of your proposal with a time-wise breakup of how you plan to use 20 mins for the topics you've highlighted?

    To help the program committee understand your presentation style, can you add the slides for your proposal and provide a link to your past recording or record a small 1-2 mins trailer of your talk and share the link to the same?

    Also, in order to ensure the completeness of your proposal, we suggest you go through the review process requirements

    Thanks,

    Natasha

    • Dr. Sri Vallabha Deevi
      By Dr. Sri Vallabha Deevi  ~  8 months ago
      reply Reply

      Hi Natasha,

      I have updated the time-wise breakup of the talk, and added a video of my talk at Cypher 2019 for reference.

      Thank you.

      • Natasha Rodrigues
        By Natasha Rodrigues  ~  8 months ago
        reply Reply

        Hi Dr. Sri,

        Thanks for the update. Will let you know in case we require any more details.

        Regards,

        Natasha