Abstract: A method and system employing deep learning techniques improves processing speed and spatial resolution of acoustic wavenumber spectroscopy (ASSESS) techniques by performing semantic segmentation on simulated ultrasonic wavefield images of a steady-state, select-tone excitation of a structural or mechanical component. One or more embodiments may employ a convolutional neural network (CNN), pre-trained on openly-available datasets, and trained by transfer learning on an augmented wavefield dataset, to localize and characterize defects or damage from inspection measurements of components.

Abstract: A structure including a substrate and a coating over the substrate is acoustically excited to measure acoustic response in the structure. The measured acoustic response in the structure is filtered to remove acoustic response of the substrate and determine acoustic response of the coating. The acoustic response of the coating is used to inspect the coating for failure.

Abstract: A vibrometer may measure acoustic responses in portions of a structure along a scan path to acoustic excitation of the structure. A ranging device may measure distances to the portions of the structure along the scan path. A three-dimensional point cloud may be generated based on the acoustic responses in the portions of the structure and the distances to the portions of the structure. The three-dimensional point cloud may include points representing geometry of the portions of the structure. The points may be associated with the acoustic responses in corresponding portions of the structure. One or more properties of the structure may be determined based on an analysis of the three-dimensional point cloud.

Abstract: A multi-mode approach for real-time inspection of structural components may be applied to rapid, wide area measurement of thickness of thick plate-like structures using full-field multi-mode response measurement and analysis. The approach may allow estimation of thickness from full-field multi-mode response to single-tone ultrasonic excitation in thick plates. The approach may utilize wavenumber information across all available wave modes in order to make wavenumber spectroscopy sensitive to changes in thickness for a broader range of nominal initial thicknesses.

Abstract: A vibrometer may measure acoustic responses in portions of a structure along a scan path to acoustic excitation of the structure. A ranging device may measure distances to the portions of the structure along the scan path. A three-dimensional point cloud may be generated based on the acoustic responses in the portions of the structure and the distances to the portions of the structure. The three-dimensional point cloud may include points representing geometry of the portions of the structure. The points may be associated with the acoustic responses in corresponding portions of the structure. One or more properties of the structure may be determined based on an analysis of the three-dimensional point cloud.

Abstract: A multi-mode approach for real-time inspection of structural components may be applied to rapid, wide area measurement of thickness of thick plate-like structures using full-field multi-mode response measurement and analysis. The approach may allow estimation of thickness from full-field multi-mode response to single-tone ultrasonic excitation in thick plates. The approach may utilize wavenumber information across all available wave modes in order to make wavenumber spectroscopy sensitive to changes in thickness for a broader range of nominal initial thicknesses.