US Patent Issued to UNIVERISTY OF SOUTH CAROLINA on Aug. 25 for "Enhanced discriminate feature learning deep residual CNN for multi-task rotating machinery fault diagnosis with information fusion" (South Carolina Inventors)

ALEXANDRIA, Va., Aug. 25 -- United States Patent no. 12,718,096, issued on Aug. 25, was assigned to UNIVERISTY OF SOUTH CAROLINA (Columbia, S.C.).

"Enhanced discriminate feature learning deep residual CNN for multi-task rotating machinery fault diagnosis with information fusion" was invented by Guangxing Niu (West Columbia, S.C.) and Bin Zhang (Irmo, S.C.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Deep learning-based diagnosis methods currently face some challenges and open problems. First, domain knowledge of fault modes and operating conditions are not integrated in most existing approaches, which results in low diagnosis accuracy and training efficiency. Second, existing methods treat all features wit...