US Patent Issued to Utopus Insights on Oct. 27 for "Scalable system and method for forecasting wind turbine failure with varying lead time windows" (California, New York Inventors)

ALEXANDRIA, Va., Oct. 27 -- United States Patent no. 12,775,832, issued on Oct. 27, was assigned to Utopus Insights Inc. (Valhalla, N.Y.).

"Scalable system and method for forecasting wind turbine failure with varying lead time windows" was invented by Zahra Mahmoodzadeh Poornaki (Los Angeles), Yajuan Wang (White Plains, N.Y.) and Younghun Kim (Pleasantville, N.Y.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An example method utilizing different pipelines of a prediction system, comprises receiving failure data, and asset data from SCADA system(s), receiving and dividing historical sensor data from sensors of components of wind turbines into different classes of different lead times, training a set of model...