A prediction method of part surface roughness and tool wear based on multi-task learning belong to the file of machining technology. Firstly, the vibration signals in the machining process are collected; next, the part surface roughness and tool wear are measured, and the measured results are corresponding to the vibration signals respectively; secondly, the samples are expanded, the features are extracted and normalized; then, a multi-task prediction model based on deep belief networks (DBN) is constructed, and the part surface roughness and tool wear are taken as the output of the model, and the features are extracted as the input to establish the multi-task DBN prediction model; finally, the vibration signals are input into the multi-task prediction model to predict the surface roughness and tool wear.

Techniques for non-invasive diagnosis and/or monitoring of corrosion in high temperature systems using specialized sensors that produce multi-mode acoustic signals in situ for accurate determination of wall loss and/or physical property changes for a vessel in contact with a high temperature, highly corrosive substance are disclosed. Sensitivity of a few microns (or about 0.1%) of wall loss, detection of changes in physical properties of vessel contents (e.g., approximately 1%), or both, at temperatures of 500° C., 600° C., or higher may be realized. Corrosion may be identified and/or monitored using time domain, frequency domain, or mixed time domain and frequency domain analysis of signal characteristics, signal delay, or both, for relatively short circumferential acoustic wave propagation (e.g., a few inches), as well as relatively long axial acoustic wave propagation (e.g., tens of feet).

A method and system for cement evaluation. The method may include disposing an acoustic logging tool into a pipe string that is disposed in a first casing of a wellbore, transmitting an acoustic wave at a first location within the wellbore from an acoustic source disposed on the acoustic logging tool, and recording one or more acoustic signals with one or more receivers on the acoustic logging tool at the first location. The method may further include performing a multichannel multimode dispersion analysis of the one or more acoustic signals, extracting one or more fluid modes propagating in the first casing from the dispersion analysis, extracting one or more pseudo-lamb waves propagating in the first casing from the dispersion analysis, extracting one or more pseudo-SH-plate waves propagating in the first casing from the dispersion analysis, and identifying a bonding condition between the first casing and a cement.

Disclosed is a system for monitoring a boss of a composite structure for a boss cracking event. The system includes a first sensor located on an outer surface of a neck of the boss and configured to detect first deformation data associated with the boss. The system also includes a second sensor located on the outer surface of the neck of the boss at a location diametrically opposite of the first sensor and configured to detect second deformation data associated with the boss. The system also includes a controller communicatively coupled to the first sensor and the second sensor and configured to determine, based on the first deformation data and the second deformation data, whether a boss cracking event has occurred.

A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

Methods, systems, and devices for determining an acoustic parameter of a downhole fluid using an acoustic assembly. Methods include transmitting a plurality of pulses; measuring values for at least one wave property measured for reflections of the plurality of pulses received at at least one acoustic receiver, including: a first value for a first reflection traveling a first known distance from a first acoustically reflective surface having a first known acoustic impedance, a second value for a second reflection traveling a second known distance substantially the same as the first known distance from a second acoustically reflective surface having a second known acoustic impedance, and a third value for a third reflection traveling a third known distance from a third acoustically reflective surface having a third known acoustic impedance substantially the same as the second acoustic impedance; and estimating the acoustic parameter using the values.

Embodiments described herein enhance the visualization of certain conditions contained in a video depicting motion in a field of view, in which the enhancements include but are not limited to one or more of: adjusting the appearance of video when objects are at different distances from a video acquisition device; aligning phase of motion obtained from different video acquisition devices; accentuating frequency phenomena that may be masked or obstructed in the presence of other frequencies of motion; differentiating motion data to obtain velocity or acceleration waveforms or spectra; applying a color scheme to pixels in a scene to highlight motion with specific characteristics or to amplify motion or provide indication of absolute motion; and determining spatial or temporal regions in the video to amplify based on the predetermined parameters.

A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

It is disclosed a method and device for testing a plate material (1) for the presence of pits and holes (3), said method including the steps of:

transmitting an acoustical signal from a transmitting transducer (2) facing the plate material (1) and positioned in a distance from the plate material, the frequency of the transmitted signal and the angle of incidence of the signal towards the plate material being adapted to promote the formation of Lamb signals in the plate material, receiving an acoustical signal returned from the plate material in a receiving transducer (4) also facing the plate material at a distance from the material, the receiving transducer (4) being located in a distance from said transmitting transducer (2) along the direction of the plate material, time gating the received signal identifying a tail part (8) carrying information from Lamb signals travelling in the material, and determining the energy content in said Lamb mode part of the signal.

A bonding layer evaluation system includes an elastic wave generation device configured to generate an elastic wave from a sample including a bonding layer; an elastic wave reflection body configured to reflect the elastic wave generated from the sample; a sample installation unit provided between the elastic wave generation device and the elastic wave reflection body; an elastic wave detection device disposed in a direction in which the elastic wave is reflected by the elastic wave reflection body, and configured to detect the reflected elastic wave; and a control device configured to evaluate a parameter related to the bonding layer. The control device evaluates the parameter related to the bonding layer by comparing the actual value of the elastic wave detected by the elastic wave detection device with a theoretical value of the elastic wave calculated based on a theoretical model related to the sample.