Interest in predictive maintenance is increasing as companies look for ways to minimize equipment downtime and save on maintenance costs.

This webinar covers the development of predictive maintenance algorithms in MATLAB® and Simulink®, as well as their deployment on the main nodes of the IoT—embedded controllers, the edge, and the cloud.

In this session you will learn: 

  • How to deploy your algorithms to embedded controllers and edge devices such as PLCs or industrial PCs and integrate with dashboards and production IT/OT systems using MATLAB Production Server™, Apache™ Kafka®, and Microsoft® Azure®..
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Date: 25 March 2021

Time: 15:00 (GMT+8)

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Peeyush Pankaj is a senior application engineer at MathWorks, where he has been promoting MATLAB products for data science. He works closely with customers in the areas of predictive maintenance, digital twin, enterprise integration and big data. Peeyush has over 9 years of industry experience with a strong background in Aviation.

Prior to joining MathWorks, he worked on aircraft engine designs, testing and certification at GE Aviation in Bangalore. He has filed 25 patents on Advanced Jet Engine technologies and Prognostic Health Monitoring of aircraft engines. Peeyush holds a master’s degree in advanced mechanical engineering from the University of Sussex, UK.

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