Ramon Perez, Director UK Operations, and Sira-Kvina kraftselkap, a large Norwegian power producer, will present a case study on deep learning models developed and deployed as part of a predictive maintenance solution to identify likely component failures within hydroelectric generator and turbine systems. In this session, they will discuss the design concept, modeling approach, solution architecture, and how it is implemented as part of the maintenance team workflow. They will also explain what makes machine learning so challenging in the utilities industry where labeled cases are in short supply.
Predictive Analytics World for Industry 4.0 is the leading vendor-neutral conference for machine learning for smart manufacturing and IoT. Data scientists, industrial planners, and other machine learning experts will meet virtually on May 24-28, 2021 to explore the latest trends and technologies in machine & deep learning for the IoT era.