Abstract:
A system monitoring an additive manufacturing (AM) machine recoat operation includes an automatic defect recognition subsystem having a predictive model catalog each applicable to a product and to one recoat error indication having a domain dependent feature, the predicative models representative of a recoat error indication appearance at a pixel level of an image captured during recoat operations. The system includes an online monitoring subsystem having an image classifier unit that classifies recoat error indications at the pixel level based on predictive models selected on their metadata, a virtual depiction unit that creates a virtual depiction of an ongoing AM build from successive captured image, and a processor unit to monitor the build for recoat error indications, classify a detected indication, and provide a determination regarding the severity of the detected indication on the ongoing build. A method and a non-transitory computer-readable medium are also disclosed.
Abstract:
A system and method for monitoring operating conditions of tubes in a steam generator. The system comprises sensors, affixed to the tubes, for detecting one or more of mechanical strains, pressures, and temperatures in the tubes; or a camera positioned in the steam generator, the camera for capturing thermal images of the tubes; or both the sensors and the camera. The system also comprises one or more computers connected to the sensors, or the camera, or both the sensors and the camera, the computers for receiving one or more of the mechanical strains, pressures, temperatures, and thermal images, and monitoring the operating conditions of the tubes. The method comprises receiving, at one or more times, one or more of pressures, mechanical strains, temperatures, and infrared photon counts of the tubes; identifying segments of the tubes to which pertains the pressures, mechanical strains, temperatures, and infrared photon counts; and monitoring the operating conditions of the tubes.