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Leveraging predictive maintenance to increase availability

Even though power demand is increasing, budgets are tighter and plant teams have gotten smaller, capital expenditures are at an all-time high at $171 billion in 2023, aimed at modernizing and decarbonizing the grid. Additionally, the escalating costs of extreme weather events, such as disaster recovery and wildfire prevention, are further straining financial resources.

These challenges necessitate a shift towards predictive maintenance, which uses data-driven insights to forecast equipment failures and optimize maintenance schedules, thereby enhancing equipment availability and operational efficiency. The current market for AI in predictive maintenance is experiencing renewed interest, largely driven by advancements in generative AI. However, it is essential to approach AI adoption strategically. Organizations should first identify the specific problems they aim to solve and then determine which AI technologies are best suited to address these issues. While generative AI has brought back the hype to adopt Artificial Intelligence, adopting the wrong AI technology, however, can lead to purchasing solutions that generate poor data, rather than more power.

To gain deeper insights into the practical applications of AI in predictive maintenance, join GEV experts for a comprehensive session. This event will showcase proven strategies and real-world examples of how customers are leveraging AI predictive analytics to enhance their operation. Learn how to navigate the challenges and understand the best opportunities to leverage software and AI.
Presenters
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Janet L. Webb
Director of Advanced Reliability, GE Vernova
Janet is an accomplished program and product manager bringing more than fifteen years of experience in power generation with demonstrated expertise in life cycle reliability and data analytics. She supports Asset Performance Management (APM) Reliability and Performance Intelligence, as well as the monitoring and diagnostics of power generation equipment via APM software.
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Mazen Younes
Sr Director of Product Management, GE Vernova
Mazen is an accomplished product manager with more than eleven years of experience in the Power Generation and Oil & Gas divisions of GE with demonstrated expertise in cloud SaaS solutions, and on-prem platform delivery. He supports the cloud platform and APM Foundation products that are the building blocks of GE Vernova’s Electrification Software applications, including APM.
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Aaron Larson
Executive Editor, POWER magazine
Aaron Larson joined the POWER team in September 2013 as an associate editor and was named executive editor in 2017. Aaron has a bachelor’s degree in nuclear engineering technology and a master’s degree, specializing in finance. He spent 13 years in the U.S. Navy nuclear power program, advancing to Chief Petty Officer. He has worked at commercial nuclear, biomass, and coal-fired power plants, functioning in operations, maintenance, safety, financial, and management capacities. Aaron holds a Chief A Engineer boiler operator license in the state of Minnesota.
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