#42: Digital Transformation in the Power Industry 5 ǀ Pattern Recognition

The optimal quality of power system measurement data is essential for making reliable condition assessments of electrical equipment and predicting asset lifetime. In this episode, David Gopp, Data Scientist and Digital Transformation Expert at OMICRON, discusses how artificial intelligence is effectively used to perform pattern recognition on measurement data to identify irregularities and to help users validate the accuracy of their measurements for more reliable assessments.

Om Podcasten

Energy Talks is an OMICRON podcast series where experts, users and industry peers share their views on various topics related to power system testing, data management and cybersecurity in the power industry. For us, communication is key to understanding customer and user needs. For this reason, we would like to invite you to follow the discussions as a listener and to enter into a dialog with us. Simply send us an email to podcast@omicronenergy.com or visit our website at www.omicronenergy.com for more information.