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.

A nondestructive method for a volumetric examination of a blade root of a turbine blade while the turbine blade is installed in a turbine shaft of a steam turbine includes attaching a bracket to the turbine blade, the bracket conforming to the geometry of the turbine blade, positioning an ultrasonic phased array probe within a slot formed in the bracket to enable the probe to translate along the geometry of the turbine blade to a desired position for generation of a scan of a portion of the blade root, generating a scan of the desired position by directing ultrasonic waves via the ultrasonic phased array probe, and capturing reflected ultrasonic waves by a receiver to generate the scan and comparing the scan to a reference scan of the blade root to determine defects within the blade root.

Aspects of the disclosure include systems, methods, and program products for evaluating the condition of a component using an acoustic sensor embedded within a lighting device. A system according to the present disclosure can include a first lighting device configured to illuminate an area of an industrial plant; a first acoustic sensor embedded within the first lighting device and configured to detect an acoustic signature of a component in the industrial plant; a computing device communicatively connected to the first acoustic sensor and configured to evaluate a condition of the component in the industrial plant based on the acoustic signature.

The present disclosure provides methods and systems for the characterization of a potential microtexture region (MTR) of a sample, component, or the like. The methods may include determining a threshold width of spatial correlation coefficient and/or a threshold spatial correlation coefficient slope for an actual MTR, characterizing a potential MTR as an actual MTR or a defect, characterizing an actual MTR as an acceptable MTR or not, and/or characterizing various components with potential MTRs as defective or not. The characterization may include calculating a width of spatial correlation coefficient and/or a spatial correlation coefficient slope of the potential MTR and comparing the width of spatial correlation coefficient to a threshold width of spatial correlation coefficient and/or comparing the spatial correlation coefficient slope to a threshold spatial correlation coefficient slope for the potential MTR to be characterized as an actual MTR or a defect (crack).

A system comprising a computer readable storage device readable by the system, tangibly embodying a program having a set of instructions executable by the system to perform the following steps for indication confirmation for detecting a sub-surface defect, the set of instructions comprising: an instruction to initialize a transducer starting location and a transducer orientation responsive to a prior determination of a potential flaw location; an instruction to optimize an observation point of the transducer responsive to the transducer starting location and the transducer orientation responsive to a flaw response model; an instruction to move the transducer to the observation point location and orientation; an instruction to collect the scan data at the observation point location and orientation; and an instruction to analyze the scan data to extract a measure of the flaw response model; and an instruction to update the flaw response model.

An inspection method according to the present disclosure includes a step of mounting an ultrasonic probe, a step of mounting a pulser receiver, a step of causing the ultrasonic probe to transmit ultrasonic waves, a step of causing the ultrasonic probe to receive a reflected wave of the ultrasonic waves reflected by the wind turbine blade, a step of causing the pulser receiver to acquire reflected-wave data, a step of causing the pulser receiver to wirelessly transmit the reflected-wave data, a step of causing at least one of antennas to receive the wirelessly transmitted reflected-wave data, and a step of causing an information processing device electrically connected to the at least two antennas to perform information processing on the reflected-wave data.

A method of evaluating quality of a wind turbine blade which has a hollow structure where an interior space of the wind turbine blade is surrounded by an outer skin which includes a laminated body includes: setting a scanning line on at least a part of an inner wall surface or an outer wall surface of the outer skin; and moving an ultrasound probe along the scanning line; generating a cross-sectional image corresponding to the scanning line, on the basis of a position of the ultrasound probe or a reflection echo to detect an indication whose echo level is greater than a first threshold; obtaining an inclination of the indication with respect to a reference line as a first parameter; and evaluating the lifetime or the breakage risk of the wind turbine blade on the basis of the first parameter.

This method comprises: generating, only using the device, a low-frequency signal that makes the structure vibrate, generating a high-frequency signal in the structure, measuring a vibratory signal caused by the generated low-frequency and high-frequency signals at the same time then adaptively re-sampling these measurements to obtain a re-sampled vibratory signal the power spectrum of which comprises: a first frequency range [u.sub.BFmin; u.sub.BFmax] of width larger than 5 Hz that contains 95% of the power of the low-frequency signal, a second frequency range [u.sub.HFmin; u.sub.HFmax] of width systematically smaller than u.sub.BFmin that contains 95% of the power of the low-frequency signal, signaling a defect in the structure if an additional power lobe is detected outside of the ranges [u.sub.BFmin; u.sub.BFmax] and [u.sub.HFmin; u.sub.HFmax].

This wedge looseness inspector for a rotary electric machine includes: an inspector including a wedge striker having a tap hammer for striking a wedge, and a wedge vibration detector for detecting vibration of the wedge; and attraction portions connected to the inspector via connection members and being attractable to an outer circumferential surface of a stepped-down portion, wherein the attraction portions have, on an inner side in the axial direction, first attachments that allow adjustment of the attached position in the axial direction of the attraction portions or replacement thereof.

An apparatus for visualizing physical movements includes: a device for acquiring video image files; a data analysis system including processor and memory; a computer program operating in the processor to identify an area in the images where periodic motions associated with physical movement of an object may be detected and quantified, and compute a new image sequence in which the motions are visually amplified; and, a user interface that displays the motion-amplified video image of the mechanical component. An associated method for using the apparatus is also disclosed.