Company Profile

With a large diversity of SBIR awards from the full complement of various US military establishments, a typical SBIR grant from the AIR Force is structured around development of an early detection and characterization of system anomalies and component failures in Computer Numerical Control (CNC) systems, the solution, - ddesinated ECAD - system is designed automatically to learn historical normal behavior of the system and provide real-time abnormal behavior detections with historical classification characterizations. ECAD will use DFNN proprietary Deep Multi-Start Residual Training (D-MSRT) neural networks for abnormality detection, maintenance condition categorization, and categorization result trust score. The system will also provide recommended responses to abnormality detections and valid categorizations. With the help of the sponsor, we will identify operational transition opportunities for improving system health and decrease downtime.