A sound source device and a signal receiver are disposed at first and second ports of a target object, respectively. A sound of a specific frequency of the sound source device is introduced into the target object to generate a resonant sound wave. A computer simulates a signal generated when the resonant sound wave is received by the signal receiver and regarding the signal as reference information. The reference information comprises first data having characteristics of the resonant sound wave, and data having features of an imaginary defect formed on the target object. The features of the imaginary defect correspond to the characteristics of the resonant sound wave. When the target object has a real defect, the sound of the specific frequency of the sound source device is introduced into the target object. Features of the real defect are derived by comparing the first data with the second data.

Multi-centric radius focusing is used to inspect a radiused surface of a radiused part having a varying radius without mechanically adjusting the array sensor. A plurality of focal laws are designed to electronically steer and focus ultrasound at respective focal points corresponding to centers of curvature of a simulated radiused surface having a varying radius. The mechanical probe that carries the array sensor is located to two physical places that are outside of the radiused area and have a spatial relationship that varies less than the radius of the radiused surface varies. As the probe is moved along the radiused part, the probe maintains the array sensor at a constant location relative to the radiused part. As the array sensor scans the radiused part, the array sensor is electronically adjusted to focus at the respective focal points in sequence.

A system and method for detecting an anomaly in a structure using an adaptive filter to compensate for variations in piezoelectric transducer performance due to environmental factors such as temperature. A first voltage signal having a first amplitude is sent to a reference piezoelectric actuator. Thereafter, a first reference voltage signal is received from a reference piezoelectric receiver which is acoustically coupled to detect the guided wave generated by the reference piezoelectric actuator. A second amplitude is determined using an optimization algorithm of an adaptive filter to compensate for nonlinear behavior of the reference piezoelectric actuator and receiver based on the first reference voltage signal. Then the adaptive filter sends a second voltage signal having the second amplitude to the reference and test piezoelectric actuators. Reference and test voltage signals are received from the reference and test piezoelectric receivers in response to the second voltage signal. A difference voltage signal representing differences between the reference and test voltage signals received is then recorded.

An automated device for non-destructive testing for the detection of defects of a complex tubular product includes at least one ultrasound transducer arranged to emit an ultrasound beam having an emission orientation. The automated device further includes control and processing electronics configured to define at least one ultrasound burst parameter as a function of the longitudinal and/or circumferential position of the ultrasound emission means, so as to detect defects in the tube wall. The at least one parameter being chosen from the burst emission orientation, the gain or the position of the temporal filter.

According to one embodiment, a structure evaluation system of the embodiments includes a plurality of sensors, an arrival time determiner, a reliability calculator, and a map generator. The plurality of sensors detect elastic waves. The arrival time determiner determines arrival times of the elastic waves using elastic waves detected by the plurality of respective sensors. The reliability calculator calculates reliabilities related to measurement waveforms of the elastic waves on the basis of the arrival times. The map generator generates a first map on the basis of the calculated reliabilities or the reliabilities and a distance.

There is provided a method for evaluating the cleanliness of a steel material by an ultrasonic flaw detection method enabling rapid acquisition of highly reliable data. Ultrasonic flaw detection is performed to detect a flaw in at least one part in the range of 90% or more and 100% or less of a steel material (for example, round bar 2) at a radial position where the center of the steel material is set as 0% and the surface is set as 100%, and then the cleanliness is evaluated based on the dimension and the number of inclusions in the steel material obtained by the ultrasonic flaw detection.

Disclosed is a method for determining a whole macro-micro process of rock deformation and failure based on a four-parameter test, including following steps: firstly, obtaining acoustic emission data and deformation data of a sample in a compression test, and then calculating the deformation data according to a finite deformation theory to obtain a mean rotation angle θ at each stress level; using Grassberger-Procaccia (G-P) algorithm to calculate the acoustic emission data, and obtaining a fractal dimension of a temporal distribution D.sub.T of an acoustic emission signal and calculating a fractal dimension of a spatial distribution D.sub.S; obtaining a microscopic morphology of a fracture surface by scanning electron microscope (SEM) test after the compression test, and calculating a fractal dimension D.sub.A of the fracture surface; finally, obtaining a mathematical trend relationship between θ and D.sub.T, D.sub.S and D.sub.A according to a comprehensive analysis of D.sub.T, D.sub.S, D.sub.A and θ.

Techniques for compensating a TFM delay computation live (e.g., during acquisition) as a function of the measured thickness along the scan axis of a probe of an acoustic inspection system. At various scan positions, the acoustic inspection system can measure the thickness of the object under test. With the measured thickness, the acoustic inspection system can compute the delays used for the TFM computation to reflect the actual thickness at that particular scan position of the probe.

An elastic matrix determination method and a vibration analysis method for a laminated iron core, with which it is possible to optimally determine an elastic modulus of a laminated iron core. When a vibration analysis of a laminated iron core obtained by laminating steel sheets is performed by using a configuration expression indicating a relationship between stress and strain in a matrix display by using an elastic matrix, a shear modulus in two surfaces including a laminating direction of the laminated iron core included in the elastic matrix in the configuration expression is determined in consideration of slip between laminated steel sheets.

According to one embodiment, a sensor includes a first structure body, a second structure body, and a detector. The first structure body includes a supporter, a deformable part supported by a first portion of the supporter, and a membrane part. At least a portion of the membrane part is connected to the deformable part and a second portion of the supporter. The second structure body is connected to the first structure body. A liquid is provided between the first structure body and the second structure body. The detector outputs a signal corresponding to a deformation of the deformable part.