Disclosed are a method for measuring the adhesive strength of a thin film using surface waves, and a computer-readable recording medium having a program for performing same recorded thereon. The method for measuring the adhesive strength of a thin film measures the adhesive strength between a substrate and a thin film by means of an electronic calculator, using sound waves measured from a thin film structure having a thin film formed on a substrate. The method, which is performed by the electronic calculator, comprises the steps of: receiving, as a first input value, the thickness, density, longitudinal wave velocity, and shear wave velocity of a first thin film and a substrate the adhesive strength between which is to be measured; calculating, from the first input value, the thickness and density of a second thin film virtually configured between the first thin film and substrate, and setting as a second input value; calculating the longitudinal wave velocity and shear wave velocity of the second thin film according to the stiffness constant of the second thin film, while varying the stiffness constant, and setting as a third input value; using the first to third input values to acquire a transfer matrix between the first thin film, second thin film, and substrate; using the transfer matrix to calculate the dispersion characteristics of the speed of surface waves; and substituting, to dispersion curves, the propagation speed of the surface waves measured from the substrate having the first thin film formed thereon, in order to acquire the stiffness constant matching the propagation speed of the measured surface waves and measure the adhesive strength between the substrate and the thin film.

Embodiments of the present disclosure include a method including receiving first impact data. The method includes receiving second impact data. The method includes applying a first filter to both the first impact data and the second impact data. The method includes applying a second filter to both the first impact data and the second impact data. Filtering includes time and frequency based discriminating filter to isolate specific signatures that representatively indicate impact signatures generated by the sand on the interrogator. The method includes comparing the first impact data and the second impact data for corresponding signatures. The method includes identifying a corresponding signature in both the first impact data and the second impact data. The method includes determining the corresponding signature meets a threshold criterion. The method includes determining one or more particulate properties based at least in part on the corresponding peak.

A three dimensional (3D) detection device has a detection supporter base to be disposed on a transmission device, ultrasonic transceiver modules disposed on at least one inner base surface of the detection supporter base and a controller. When a tested object is transmitted by the transmission device and then enters the detection supporter base, the ultrasonic transceiver modules emit ultrasonic signals to the tested object, and the tested object reflects the ultrasonic signals to the ultrasonic transceiver modules. The ultrasonic transceiver modules generate detection signals according to the reflected ultrasonic signals. The detection signals are sent to the controller, and the controller generates an ultrasonic image corresponding to a tested object according to the detection signals, and then compares the ultrasonic image to a pre-established original 3D image, so to achieve a surface detection objective.

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.

According to one embodiment, a method is used for diagnosing a deterioration of a utility pole having at least one bolt and a plurality of holes provided for attaching the bolt. In the method, an impact is applied to the bolt. Elastic waves generated due to the impact are detected by a sensor shaped like a bolt. The sensor is attached to at least one of the holes. A propagation situation of the elastic waves in the utility pole is derived, based on the elastic waves detected, and each position of the bolt and the sensor.

A system includes a learning network having a signal processor configured to: receive learned signaling containing information about representative samples of conditions related to operating states of a hydrocyclone and characterized as learned samples of each condition when the learning network is trained, and raw signaling containing information about raw samples containing information about the current operation of the hydrocyclone; and determine corresponding signaling containing information about an operating state of the current operation of the hydrocyclone based upon a comparison of the learned signaling and the raw signaling.

Apparatus features a signal processor or processing module configured at least to: receive signaling containing information about acoustic emissions resulting from particles impacting a solid sensor element configured in a process pipe having a process fluid flowing therein, including a slurry; and determine particle sizes of solids in the process fluid, based at least partly on the signaling received. The signal processor module may also be configured to provide corresponding signaling containing information about the particle sizes of solids in the process fluid.

The present invention relates to an integrity monitoring spool system and apparatus. The system and apparatus brings different types of sensors together in a single forging or pipeline spool with one common electronics module for all the sensors which facilitates additional subsea processing using data comparisons across devices to enhance the quality and accuracy of the data reported. The common electronics module includes individual sensor measurement electronics circuits which connect directly to the individual sensors transducers and pass excitation and measurement signals to and from one another via signal wires inside high pressure metal tubing. Furthermore, by combining the data from the different intrusive and non-intrusive sensors in one common electronics module and processing the data subsea in real-time, the accuracy and quality of the sensor data can be greatly enhanced by comparing, cross-checking, combining and processing data from the various different sensors subsea in real-time.

Embodiments of the present disclosure include a method including receiving first impact data. The method includes receiving second impact data. The method includes applying a first filter to both the first impact data and the second impact data. The method includes applying a second filter to both the first impact data and the second impact data. Filtering includes time and frequency based discriminating filter to isolate specific signatures that representatively indicate impact signatures generated by the sand on the interrogator. The method includes comparing the first impact data and the second impact data for corresponding signatures. The method includes identifying a corresponding signature in both the first impact data and the second impact data. The method includes determining the corresponding signature meets a threshold criterion. The method includes determining one or more particulate properties based at least in part on the corresponding peak.

According to one embodiment, a structure evaluation system includes an impact imparting unit, a sensor, and a structure evaluation device. The impact imparting unit applies impacts to a structure. The impact imparting unit applies the impacts at a frequency equal to or less than a frequency determined in accordance with an intensity at which the impacts are imparted. The sensor detects elastic waves. The structure evaluation device evaluates a deterioration state of the structure on the basis of the detected elastic waves.