US Patent Issued to International Business Machines on Aug. 11 for "Unsupervised anomaly detection of industrial dynamic systems with contrastive latent density learning" (New York, Connecticut Inventors)

ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,705,492, issued on Aug. 11, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Unsupervised anomaly detection of industrial dynamic systems with contrastive latent density learning" was invented by Kyong Min Yeo (Scarsdale, N.Y.), Tsuyoshi Ide (Harrison, N.Y.), Bhanukiran Vinzamuri (Long Island City, N.Y.), Wesley M. Gifford (Ridgefield, Conn.) and Roman Vaculin (Larchmont, N.Y.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Anomaly detection in industrial dynamic process can include receiving a set of multivariate time series data representative of sensor data obtained over time. The set of multivariate time series data can be trans...