Whether an internal defect is present in an inspection target is readily judged. Provided is an inspection method for an inspection target that is a layered structure including an FRP material and/or a structure made of resin, the method including the steps of: tapping, with a tapping tool, an inspection target area on a surface of the inspection target; detecting, by an accelerometer mounted to the tapping tool, an acceleration signal corresponding to acceleration of the tapping tool due to reaction force against the tapping; recording waveform data about the detected acceleration signal; creating a contour map corresponding to the inspection target area, based on the recorded waveform data; displaying the contour map on a display unit; and judging whether an internal defect is present in the inspection target, based on the contour map displayed on the display unit.

Methods and devices are provided for analyzing a tubular structure including at least two electromagnetic-acoustic transducers (EMAT) and, called sensors, attachable or attached in, on or in the vicinity of the tubular structure; and computation and/or memory resources, that are accessed locally and/or remotely and that are configured to determine, for the pair of sensors, a function representing the impulse response of the tubular structure on the basis of the diffuse acousto-elastic noise present in the structure. Developments describe the use of rings supporting the sensors; translation and/or rotation movements; permanent or temporary installations; hinged rings; various computation modes, e.g., intercorrelation, a passive inverse filter, or correlation of the coda of the correlation; the use of artificial noise sources, imaging (e.g., tomography) for determining the existence of one or more defects in the structure. Software aspects are described.

Object analysis comprising measuring a frequency-dependent natural oscillation behavior of the object by dynamically-mechanically exciting the object in a defined frequency range (f) by means of generating a body oscillation by applying a test signal, and detecting a body oscillation generated in the object on account of the exciting. Moreover, the method involves simulating a frequency-dependent natural oscillation behavior for the object by generating a virtual digital representation of the object, and carrying out a finite element analysis on the basis of the virtual representation comprising dynamically exciting, in a simulated manner, the virtual representation into a virtual frequency range for generating a virtual body oscillation, calculating the virtual body oscillation generated in the object on account of the exciting in a simulated manner, and deriving an object state on the basis of a comparison of the measured natural oscillation behavior and the simulated frequency-dependent natural oscillation behavior.

Systems and methods are provided for monitoring the structural integrity of a vehicle. In particular, systems and methods are provided for using transducers positioned at various location in and on a vehicle to measure parameters related vehicle structural health. In various implementations, the integrity of the vehicle frame and the integrity of the vehicle body are monitored using a multi-axis accelerometer and/or microphone. The use of transducers for monitoring can replace time-consuming and expensive manual inspections.

A shot processing system according to an aspect includes a shot processing apparatus to project shot media, a measurement device output a signal waveform related to a wave generated due to collision of the shot media, a control device to control the shot processing apparatus. The control device includes a processing condition acquisition unit to acquire a required intensity, a control unit to control the shot processing apparatus to cause the shot processing apparatus to perform the shot processing to the measurement device under a first shot condition, an intensity analysis unit to acquire a measured intensity by analyzing the signal waveform output by the shot processing to the measurement device, and a correction unit to correct a shot condition of the shot processing apparatus from the first shot condition to a second shot condition to reduce a difference between the required intensity and the measured intensity.

Embodiments provide systems, apparatuses, and method for determining the Modulus of Elasticity (MOE) of a wood workpiece based on the travel time and/or velocity of an impact-induced acoustic stress wave. A housing may be configured to reduce extraneous acoustic waves and/or contaminants near an acoustic transducer to thereby reduce errors in the detection/identification of the acoustic stress wave. A computer system may be programmed to determine the MOE of the workpiece based on the travel time and/or velocity of multiple acoustic stress waves induced by corresponding impacts at respective locations along the end of the workpiece as the workpiece travels in a first direction. Corresponding methods and an induction system for rapidly and repeatedly striking the end of the workpiece are also described herein.

A system for estimating both thickness and wear state of refractory material (1) of a metallurgical furnace (12), including at least on processor including a database of simulated frequency domain data named simulated spectra representing simulated shock waves reflected in simulated refractory materials of known state and thickness, each simulated spectrum being correlated with both known state and thickness data of the considered simulated refractory material, wherein the at least one processor is configured to record a reflected shock wave as a time domain signal, and to convert it into frequency domain data named experimental spectrum, and are further configured to compare the experimental spectrum with at least a plurality of simulated spectra from the database, to determine the best fitting simulated spectrum with the experimental spectrum and to estimate thickness and state of the refractory material (1) of the furnace (12) using known state and thickness data correlated with the best fitting simulated spectrum.

A resonance detection system includes a vibration simulation mechanism and a vibration audio analysis device. The vibration simulation mechanism includes a mechanism body that accommodates a peripheral interface device. The vibration simulation mechanism generates a vibration wave to the peripheral interface device. The peripheral interface device generates a vibration audio signal in response to the vibration wave. The vibration audio analysis device is electrically connected with the vibration simulation mechanism. After the vibration audio signal is inputted into the vibration audio analysis device, the vibration audio analysis device judges whether there is an abnormal resonance phenomenon in the vibration audio signal. The vibration simulation mechanism further includes a patch-type audio collector, which is electrically connected with the vibration audio analysis device. The patch-type audio collector is attached on the mechanism body containing the peripheral interface device. The vibration audio signal is collected by the patch-type audio collector.

A method for analyzing dynamic mode change of an anisotropic material includes performing modal analysis of a first physical force applied to an isotropic material specimen and a first vibration signal collected from the isotropic material specimen, acquiring a first modal parameter of the isotropic material specimen, based on the modal analysis result, performing modal analysis of a second physical force applied to the anisotropic material specimen and a second vibration signal collected from the anisotropic material specimen, acquiring a second modal parameter of the anisotropic material specimen, based on the modal analysis result, acquiring a modal assurance criterion (MAC) for each mode of the anisotropic material specimen, based on the first and second modal parameters, and acquiring each similar mode of the anisotropic material specimen to each mode of the isotropic material specimen.

This application relates to an apparatus and method for detecting a microcrack using orthogonality analysis of a mode shape vector and a principal plane in a resonance point. The apparatus may include a measurement unit comprising multiple sensors and configured to measure whether a crack exists at a measurement target, and an analysis unit configured to determine whether a crack exists, on the basis of measurement values of the respective sensors. The measurement unit includes a fixing jig configured to fix the measurement target, an excitation means configured to apply a predetermined impact to the measurement target, and multiple acceleration sensors attached at predetermined locations on the measurement target. The analysis unit may further calculate frequency responses of the measurement target to the impact applied by the excitation means, and determine whether a crack exists by analyzing the number of resonance points and independence of the resonance points.