Waves from cement bond logging with a sonic logging-while-drilling tool (LWD-CBL) are often contaminated with tool waves and may yield biased CBL amplitudes. The disclosed LWD-CBL wave processing corrects the first echo amplitudes of LWD-CBL before calculating the BI. The LWD-CBL wave processing calculates a tool wave amplitude and a phase angle difference as the difference of the phases between the tool waves and casing waves. The tool waves are then used to correct the LWD-CBL casing wave amplitude and remove errors introduced from tool waves. In conjunction with the sets of operations described, the LWD-CBL wave processing also include array preprocessing operations. Array preprocessing may employ variation of bandpass filtering and frequency-wavenumber (F-K) filtering operations to suppress tool wave.

A device, for non-destructive testing of a mechanical part made of a polycrystalline material, includes: an ultrasonic probe including a two-dimensional array of transducers capable of emitting and receiving signals at different excitation angles; and a processing module suitable for controlling the emission and the reception of the transducers, for processing the signals received by the transducers so as to express the signals received by the ultrasonic probe in two planar wave planes constructed from the emission and reception wave vectors of the probe, and for deducing therefrom information representative of the three-dimensional orientation of the fiber structure of the mechanical part.

A fluid sensing apparatus and method for detecting pressure and the presence of bubbles within a fluid tube. The fluid sensor comprises a housing configured to receive a portion of the tube and to house the pressure sensor and the ultrasonic transmitter. The pressure sensor is positioned adjacent the tube and is configured to receive a pressure sensor signal, which correlates to a detected pressure differential within the tube. A controller transmits a drive signal to the ultrasonic transmitter, which emits ultrasonic waves through a portion of the tube and to the pressure sensor. The pressure sensor receives both the ultrasonic waves and a pressure sensor signal, and subsequently transmits an output signal to the controller. In the presence of a pressure differential or a bubble within the tube, the output signal will exhibit a DC shift or a distortion of its signal characteristics, respectively.

A fiber optic distributed acoustic sensing (DAS) system for detecting a red palm weevil (RPW) includes an optical fiber configured to be wrapped around a tree and a DAS box connected to the optical fiber. The DAS box includes a processing unit that is configured to receive a filtered Rayleigh signal reflected by the optical fiber, and run the filtered Rayleigh signal through a neural network system to determine a presence of the RPW in the tree.

Methods and systems for inspecting a weld area between a first and a second metallic sheet are provided an acoustic wave is generated in the first metallic sheet for propagation towards the second metallic sheet, across the weld area. A weld quality indicator is obtained. In some variants, the weld quality indicator is obtained from a comparison of first and second sheet time-varying signals representative of a surface motion in the first and second metallic sheets. In some variants, the weld quality indicator is based on the frequency-dependent attenuation of the acoustic wave in the second metallic sheet.

Methods and systems for inspecting a weld area between a first and a second metallic sheet are provided an acoustic wave is generated in the first metallic sheet for propagation towards the second metallic sheet, across the weld area. A weld quality indicator is obtained. In some variants, the weld quality indicator is obtained from a comparison of first and second sheet time-varying signals representative of a surface motion in the first and second metallic sheets. In some variants, the weld quality indicator is based on the frequency-dependent attenuation of the acoustic wave in the second metallic sheet.

Some embodiments relate to the application of a system and a signal processing method for data acquired from a Scanning Acoustic Microscope (SAM) to obtain a high axial resolution and enhanced imaging. The SAM is one of ultrasound imaging methods used for NDE. Embodiments may provide methods for decreasing or reducing the duration (width) of the pulses scattered/reflected by multiple objects/scatters. Such embodiments can accomplish this by eliminating, or at least partially eliminating, the background noise by deconvolving the system responses (i.e., reference signals) obtained from either theoretical modeling or experimental acquiring. In one embodiment, the method minimizes the pulse duration by using a regression technique to predict the spectra responses outside a frequency band.

Systems and methods for integrating a three-dimensional X-ray computed tomography system with an independent sound wave system to determine mechanical properties of tissue using signals from the sound wave system. Methods are disclosed that generate a numerical simulation and take the transmitted wave signals as the optimization objective to estimate modulus distribution of the tissue. Further, the mechanical properties of the tissue are reconstructed based on an inverse algorithm.

A method and apparatus for inspecting a fusion joint is provided. The apparatus includes a processor, an ultrasound (“US”) probe in communication with the processor, and a database comprising classification rules. The processor is configured to generate an initial set of US scanning positions about the fusion joint based on information of at least one of the US probe and the fusion joint; measure, via the US probe, a US pulse-echo spectrum from at least two of the initial US scanning positions; compare each measured US pulse-echo spectrum with one or more known US pulse-echo spectrums; classify each measured US pulse-echo spectrum according to the classification rules; and evaluate an aggregate of measured US pulse-echo spectrums to determine if the fusion joint is defective.

A detection device includes a vibration sensor configured to detect vibration of a machine, a calculation unit configured to perform FFT analysis on detection data of the vibration sensor, divide a specific frequency range into a plurality of frequency ranges, and calculate a partial overall value for each of the plurality of frequency ranges, and a wireless communication device configured to transmit the partial overall value.