Leveraging AI for Condition Monitoring and Predictive Maintenance
Overview
Predictive maintenance has emerged as one of the most important applications driving the digital transformation. However, many organizations are struggling to develop predictive maintenance services. According to many studies, this is most often due to lack of required skills or concerns about data quality.
In this webinar, we will use machine/deep learning techniques in MATLAB to tackle various challenges related to predictive maintenance and anomaly detection.
Highlights
The experts from MathWorks will introduce Predictive Maintenance with MATLAB, and Dr. Balakrishna from GE Vernova will share insights on how the advanced data acquisition from processor-based relays and intelligent electronic devices (IEDs) enhances asset reliability and reduce the global cost of the asset monitoring, diagnostics, security, and maintenance alongside how data and information from these advance IEDs help in realizing these benefits, combined with Machin Learning based analytics will also be discussed.
About the Presenter
Dr. Balakrishna Pamulaparthy, PhD was born in Hyderabad, India. He received his M.Tech and PhD degrees in Electrical Engineering from Indian Institute of Technology, Madras in 2008 and 2016 respectively. He is currently working as Senior Engineer – Emerging Technologies at Office of Innovation, GENERAL ELECTRIC (GE), Hyderabad Technology Center, India in Smart Grid domain. He has overall 14+ years of Industrial R&D experience at GE and ~2 years of academic experience working as fulltime Assistant Professor in School of Electrical Sciences/Professor-in-Charge Electrical/Adjunct Faculty at Indian Institute of Technology Bhubaneswar during 2017-20. His research interests include Smart Grid, Substation/Distribution Automation, Grid Monitoring & Data analytics, Transformer/Motor Asset Management, DMS, SCADA and AMI. He has filed 40 US patents to his credit out of which 14 are granted till date along with 35+ reputed publications in various international journals/conferences. He is the recipient of several global awards including GE Inventor of the Year Award in 2010, GE Silver Award for 10+ Patents, Prestigious Ramanujan Young Achiever Award in 2011, GE Imagination and Courage Award in 2012, Energy Management Innovation Excellence Award in 2014, GE Empower and Inspire Global Award in 2015, VIRA Young Scientist Award in 2019, GE Innovation Excellence Award in 2020, GE ITC Tech Yoda Award in 2021, Grid Innovation Challenge Winner Award in 2022 & 2023 and Encore Impact Award for Deliver with Focus in 2023. He has delivered several guest lectures on smart grid related topics to students, researchers and faculties in various short-term courses organized by IIT’s, NIT’s, IEEE and Universities. He is currently BoS member at Department of Electrical Engineering, NIT Warangal, MITS Madanapalle, BVRIT Hyderabad and Industry leader-in-charge for MoU with IIT Roorkee and IIT Hyderabad.
Jayanth Balaji Avanashilingam works as a Senior Application Engineer at MathWorks in Artificial Intelligence.
He primarily focuses on areas of Data Analytics for the application involving with Time-Series data.
Jayanth has around 8 years of research and industrial experience, where he was working developing AI/ML/DL solutions for various application areas, such as time-series data modeling, optimization, computer vision and Natural Language Processing. Prior to joining MathWorks Jayanth was working as Senior AI Engineer at Impact Analytics, Bangalore.
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
