Monitoring & Diagnostics: Technology, Data Science & AI

Focusing on ???????????????????? ?????? ??????????????????????, ???????? ??????????????, ?????? ????, this edition marks a significant milestone in the power sector, highlighting our shift towards proactive and predictive maintenance strategies. Gracing our front cover is the esteemed Hitachi Energy, symbolizing its leadership and innovation in the industry. Inside, dive into insightful perspectives from esteemed authors and industry experts.

Predictive?maintenance,?driven by data analytics, minimizes?downtime?and costs by foreseeing?equipment failures?and enabling timely interventions. Conversely, preventative maintenance, while valuable, often relies on manufacturer recommendations rather than equipment condition.?Proactive maintenance goes beyond prevention to actively identify and address potential issues before they escalate. Integrated with?Machine Learning (ML)?and?Artificial Intelligence (AI), these strategies promise to revolutionize diagnostics, offering utilities the ability to enhance grid reliability and reduce downtime.

Thank you to all the esteemed authors and contributors, including John McDonald, Martin Robinson, Bidesh Kar, Todd Hurst, Florent Giraudet, Mario Augusto Caetano dos Santos, Saad Habib, Henrik L?f?s, Lony Tehini, Leonhard Link, Tony McGrail, Nathan Jacob, and Sruti Chakraborty, PhD.

We extend our sincere thanks to Hitachi Energy, Maschinenfabrik Reinhausen, Trantech Radiator Products, Inc., Dynamic Ratings, Megger, Delta-X Research, Doble Engineering, Camlin Energy, and Measurements International Ltd for their contributions to our publication.

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