US Patent Issued to Festo on Aug. 11 for "Machine learning method for anomaly detection in an electrical system" (German Inventors)

ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,705,310, issued on Aug. 11, was assigned to Festo SE & Co. KG (Esslingen, Germany).

"Machine learning method for anomaly detection in an electrical system" was invented by Thilo Streichert (Stuttgart, Germany) and Silvia Starz (Weinstadt, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "Continuous condition monitoring of an electrical system, and in particular for early fault detection, is provided. The condition monitoring unit is formed with an interface to a memory in which a trained normal state model is stored as a one-class model that has been trained in a training phase with normal state data and represents a normal state of the electrical ...