Predictive Maintenance of Power Converters using Simulated Data

Overview

Power converters are the backbone of modern industries, enabling efficient energy conversion and distribution. In this session, we explore how to model a power converter in Simscape Electrical that can simulate faults and aging. This synthetic data is used to build a predictive maintenance algorithm that can detect faults and estimate remaining useful life, enabling enhanced performance, reduced downtime, and better maintenance strategies. Whether you work in renewable energy, manufacturing, utilities, or other industries that apply power electronics, understanding power converters is crucial for ensuring reliable and sustainable operations.

Highlights

• Modeling and simulating a power converter system using Simscape Electrical
• Generating synthetic voltage and current data to represent IGBT aging
• Automating feature engineering using the Diagnostic Feature Designer
• Integrating custom domain-specific features
• Training a machine learning model to detect and isolate faults, and predict their severity
• Deploying predictive algorithms in operational systems or edge devices

About the Presenters

Rahul Choudhary is a senior application engineer at MathWorks specializing in System Modeling and Control Design. He has over 9 years of experience in power electronics control, motor control, multi-domain modeling, and real-time simulation. Before joining MathWorks, Rahul worked with Eaton India Engineering Centre as a Control Engineer where he was involved in developing prognostics and health monitoring algorithms for proof-of-concept projects for their electrical business using MATLAB and Simulink. He holds a master’s degree in Systems and Control Engineering from Indian Institute of Technology Bombay, Mumbai and a bachelor’s degree in Electronics and Instrumentation Engineering from Institute of Engineering and Technology, Lucknow, India

Sammit Jain is an AI Application Engineer at MathWorks. He works with Engineers and Scientists across India, helping them develop and deploy AI systems using MATLAB. He has a special interest in using Machine Learning and Deep Learning techniques to solve complex problems in medical imaging, computer vision, and Natural Language Processing (NLP). Prior to joining MathWorks, he worked on Bioimage Analysis and Spine segmentation techniques during his time as a research fellow at Institut Pasteur, Paris. He has a Master’s in Mathematics and a Bachelor’s in Electrical and Electronics Engineering from Birla Institute of Technology and Science (BITS) Pilani – Goa