Abstract: A sensor system for mapping absolute acoustic noise intensity in a three-dimensional acoustic noise field. Localized noise sources within a vessel are extracted using a distant array of transducers mounted on the vessel wall. The absolute intensity can be measured even when totally masked by background noise at the transducer locations. The system includes an integrated transducer installation. Each transducer is an accelerometer which is mounted on the vessel wall using a rigid attachment rod which serves as an ultrasonic waveguide. The output of each transducer is split into low- and high-frequency components, the low-frequency component being a function of the vibrational displacement of the localized portion of the vessel wall and the high-frequency component being a function of the vibrational/ultrasonic waves propagating through the localized portion of the vessel wall.

Abstract: A system for mapping absolute acoustic noise intensity in a three-dimensional acoustic noise field, and using three-dimensional absolute noise intensities to infer operational or performance characteristics of components or structures within the monitored field. Localized noise sources are extracted using a distant array of transducers, and the absolute intensity can be measured even when totally masked by background noise at the transducer locations. The system includes an integrated sensor installation; a neural network detection system algorithm; a zoom system to precisely examine a small region in the steam generator vessel; a fuzzy logic system detection algorithm; and an expert detection system. The signal processing subsystem operates at three different levels of detection. At the top level of detection a trained neural network system monitors the vessel length for any indication of a leak. The proposed approach uses discriminators which do not require any beamforming of the sensor signals.

Abstract: A system for mapping absolute acoustic noise intensity in a three-dimensional acoustic noise field, and using three-dimensional absolute noise intensities to infer operational or performance characteristics of components or structures within the monitored field. Localized noise sources are extracted using a distant array of transducers, and the absolute intensity can be measured even when totally masked by background noise at the transducer locations. The system includes an integrated sensor installation; a neural network detection system algorithm; a zoom system to precisely examine a small region in the steam generator vessel; a fuzzy logic system detection algorithm; and an expert detection system. The signal processing subsystem operates at three different levels of detection. At the top level of detection a trained neural network system monitors the vessel length for any indication of a leak. The proposed approach uses discriminators which do not require any beamforming of the sensor signals.