Abstract: A condition of a flexible pipeline may be monitored by scanning a section of the flexible pipeline with an ultrasonic scanner and using the ultrasonic scanner to produce a first ultrasonic signal that penetrates the section of the flexible pipeline and is used to create a set of condition data indicative of a condition present near or within an annulus of the flexible pipeline, the condition comprising pressure on or within the flexible pipeline.

Abstract: A condition of a flexible pipeline may be monitored by scanning a section of the flexible pipeline with an ultrasonic scanner and using the ultrasonic scanner to produce a first ultrasonic signal that penetrates the section of the flexible pipeline and is used to create a set of condition data indicative of a condition present near or within an annulus of the flexible pipeline, the condition comprising pressure on or within the flexible pipeline.

Abstract: A scanning carriage, useful to perform simultaneous or concurrent subsea Time of Flight Diffraction (ToFD) and Phased Array Ultrasonic Testing (PAUT) of a subsea structure, comprises a housing machined to provide an incident angle for producing a predetermined set of desired refraction angles to help provide volumetric coverage of a weld in a one pass inspection; a Time of Flight Diffraction (ToFD) tool disposed proximate the housing and comprising a ToFD probe; a phased array ultrasonic testing tool, disposed proximate the ToFD tool, comprising a phased array ultrasonic probe and configured to produce multiple refracted angles with one probe placement; and a data communication link configured to interface with a data collection tool and operatively connected to the ToFD tool and the phased array ultrasonic testing tool.

Abstract: The static MMS spectral reconstruction process is optimized using algorithmic methods. Because the static MMS encodes spectral information across the detector plane in a highly non-local way, optical errors have a non-local effect on the reconstruction which introduces noise and errors at regions throughout the spectral range. Mathematical signal processing techniques are used to condition and deconvolve the spectral image to compensate for non-ideal system behavior. Spectral signal-to-noise and accuracy are both improved, while the inherent resolution and etendue advantages of the static MMS technique are retained.

Abstract: The static MMS spectral reconstruction process is optimized using algorithmic methods. Because the static MMS encodes spectral information across the detector plane in a highly non-local way, optical errors have a non-local effect on the reconstruction which introduces noise and errors at regions throughout the spectral range. Mathematical signal processing techniques are used to condition and de-convolve the spectral image to compensate for non-ideal system behavior. Spectral signal-to-noise and accuracy are both improved, while the inherent resolution and etendue advantages of the static MMS technique are retained.

Abstract: Control panels of a simulated complex system are displayed as a texture mask over a three-dimensional visual representation of an environment in which the complex system is operating. The three-dimensional visual representation is displayed in an inactive window to a user practicing or training on the simulated system. An active window underlying the visual display is used to track user inputs to the control panels. Smart graphics translate the user inputs into data elements that are sent to a full-scope simulation, and simulation conditions are returned and used to update the display of the control panels and the visual representation of the environment.

Abstract: Control panels of a simulated complex system are displayed as a texture mask over a three-dimensional visual representation of an environment in which the complex system is operating. The three-dimensional visual representation is displayed in an inactive window to a user practicing or training on the simulated system. An active window underlying the visual display is used to track user inputs to the control panels. Smart graphics translate the user inputs into data elements that are sent to a full-scope simulation, and simulation conditions are returned and used to update the display of the control panels and the visual representation of the environment.