Olympus Ndt

Evident Canada, Inc.

Olympus Scientific Solutions Americas Corp.

Olympus Ndt Canada Inc.

Olympus America Inc.

Other

Evident Scientific, Inc.

Olympus Scientific Solutions America

Benoit Lepage

Guillaume Painchaud-April

Jason Habermehl

Nicolas Badeau

Jinchi Zhang

Martin St-Laurent

Denis Faucher

Tommy Bourgelas

Christophe Claude Imbert

Rémi Leclerc

Chi-Hang Kwan

Frederic Landry

Pierre Langlois

Martin Roy

Patrick Vachon

Charles Brillon

Stefano Orsi

Jean Gauthier

Claude Roussin

Gaston Germain

Antoine Delhomme

Rosaire Belanger

Albert Bergeron

Charles Grimard

Ivan C Kraljic

Guy Prefontaine

Cécile Brütt

Christophe Imbert

Dennis Faucher

An ultrasound probe is capable of detecting flaws in an object in a non-destructive manner. The probe includes a row-column addressed (RCA) array with a plurality of row and column electrodes. The probe can perform volumetric inspection of an object using the RCA array in different transmission and reception configurations.

Volumetric inspection using row-column addressed probe

Acoustic evaluation of a target can be performed using an array of electro-acoustic transducers. For example, a technique for such evaluation can include generating acoustic transmission events using different transmitting apertures, the apertures defined by corresponding zones along the array, the zones including multiple electro-acoustic transducer elements. In response to the respective acoustic transmission events. respective acoustic echo signals are received. Representations of the respective received acoustic echo signals are coherently summed. The coherently summing includes applying determined nominal element delay factors to the respective representations to approximate a virtual probe normal to a nominal shape of a surface of a structure being inspected. A pixel or voxel value is corresponding to a specified spatial location within the structure being inspected is generated using the coherently summed representations.

Adaptive ultrasonic inspection for volumetric flaws

Techniques for compensating the sensitivity variations induced by lift-off variations for an eddy current array probe. The techniques use the eddy current array probe coils in two separate ways to produce a first set of detection channels and a second set of lift-off measurement channels without the need to add coilsdedicated to the lift-off measurement operation.

Lift-off compensated eddy current system

An eddy current probe assembly for analyzing an article is provided. The eddy current probe assembly includes a housing, an eddy current probe disposed on or within the housing, and a barrier layer. The housing has a coolant passage that extends into the housing and forms a loop within the housing. The coolant passage allows for coolant flow through the housing. The eddy current probe thermally couples with a first portion of the coolant passage at a first surface of the eddy current probe. The barrier layer is on a second surface of the eddy current probe opposite the first surface of the eddy current probe.

High temperature ECA probe

A computerized method of image processing using processing circuitry to apply a previously trained machine learning model in a system for non-destructive testing (NDT) of a material is described. The method can include acquiring acoustic imaging data of the material, the acoustic imaging data acquired at least in part using an acoustic imaging modality, generating an acoustic imaging data set corresponding to an acoustic propagation mode, applying the previously trained machine learning model to the acoustic imaging data set, and generating an image of the material depicting a probability of a flaw per pixel or voxel based on the application of the previously trained machine learning model.

Acoustic imaging techniques using machine learning

A full matrix capture (FMC) acoustic acquisition technique can be modified in a manner to compensate for one or more of variation from a nominal distance between an acoustic transducer array and the structure being scanned, or a variation from a nominal angle (e.g., inclination or declination) of the array surface with respect to the structure being scanned. Such modification can include determining incremental delay factors to be added or removed from nominal delay values in A-Scan data based on offset values corresponding to the transmit and receive transducer elements (or apertures) used for acquiring a particular A-Scan instance. The compensated A-Scan data in the FMC acquisition can then be used TFM imaging, for example.

Adaptive total focusing method (TFM) such as for zero-degree acoustic inspection

Acoustic data, such as a full matrix capture (FMC) matrix, can be reconstructed by applying a previously trained decoder machine learning model to one or more encoded acoustic images, such as the TFM image(s), to generate reconstructed acoustic data. A processor can use the reconstructed acoustic data, such as an FMC matrix, to recreate new encoded acoustic images, such as TFM image(s), using different generation parameters (e.g., acoustic velocity, part thickness, acoustic mode, etc.).

Techniques to reconstruct data from acoustically constructed images using machine learning

Systems and methods are disclosed for conducting an ultrasonic-based inspection. The systems and methods perform operations comprising: receiving a plurality of scan plan parameters associated with generating an image of at least one flaw within a specimen based on acoustic echo data obtained using full matrix capture (FMC); applying the plurality of scan plan parameters to an acoustic model, the acoustic model configured to determine a two-way pressure response of a plurality of inspection modes based on specular reflection and diffraction phenomena; generating, by the acoustic model based on the plurality of scan plan parameters, an acoustic region of influence (AROI) comprising an acoustic amplitude sensitivity map for a first inspection mode amongst the plurality of inspection modes; and generating, for display, a first image comprising the AROI associated with the first inspection mode for capturing or inspecting the image of the at least one flaw.

Acoustic model acoustic region of influence generation

Using various techniques, a position of a probe assembly of a non-destructive inspection system, such as a phase array ultrasonic testing (PAUT) system, can be determined using the acoustic capability of the probe assembly and an inertial measurement unit (IMU) sensor, e.g., including a gyroscope and an accelerometer, without relying on a complex encoding mechanism. The IMU sensor can provide an estimate of a current location of the probe assembly, which can be confirmed by the probe assembly, using an acoustic signal. In this manner, the data acquired from the IMU sensor and the probe assembly can be used in a complementary manner.

Free-encoder positioning system using acoustic features and IMU

A material profile can be determined by assuming an elliptical or circular arc geometry and by using acoustic noise generated by diffuse internal reflection and/or specular reflection on the internal (ID) or external (OD) interface of the material under inspection, such as a pipe or curved plate. A non-destructive testing (NDT) technique can acquire acoustic data of the material using an ultrasonic signal. The acquired acoustic data can be filtered such that the acoustic noise generated by diffuse internal reflection and/or specular reflection is separated from any flaws in the material. Positions of the acoustic noise can be determined and then a regression technique can be applied to the positions, which can generate an equation of a circle, for example, such as to provide a radius and thickness of the pipe or curved plate.

Material profiling for improved sizing accuracy

Transmit-Receive Longitudinal (TRL) probes can be used for the inspection of noisy material, such as austenitic materials. By using various techniques, an inspection area is not constrained by a wedge design of an ultrasonic probe and the benefits of using a linear probe array (rather than a matrix) are maintained. Volumetric or TFM-like imaging on austenitic materials using a linear transmit array and a linear receive array that are out of plane with one another (a TRL configuration) and not in the main imaging place can simplify the inspection and analysis of such materials. For each scan position, an ultrasound probe can acquire acoustic imaging data. Then, a processor can then combine acquisitions from adjacent scan positions to create an imaging result using synthetic aperture focusing technique (SAFT) principles to recreate a focalization in a passive axis of the probe.

Ultrasound inspection techniques for detecting a flaw in a test object

An acoustic inspection system can be used to generate a surface profile of a component under inspection, and then can be used to perform the inspection on the component. The acoustic inspection system can obtain acoustic imaging data, e.g., FMC data, of the component. Then, the acoustic inspection system can apply a previously trained machine learning model to an encoded acoustic image, such as a TFM image, to generate a representation of the profile of one or more surfaces of the component. In this manner, no additional equipment is needed, which is more convenient and efficient than implementations that utilize additional components that are external to the acoustic inspection system.

Acoustic profiling techniques for non-destructive testing

An eddy current (EC) detection system comprises an EC probe including a plurality of sensors to provide corresponding EC response signals; and processing circuitry to evaluate speed of the EC probe based on a measurement of similarity of the EC response signals; determine whether the speed of the EC probe is too fast or two slow based on quality of the measurement; and generate a command to adjust speed of the EC probe during further EC inspection.

Non-contact speed encoder

An acoustic technique can be used for performing non-destructive testing. For example, a method for acoustic evaluation of a target can include generating respective acoustic transmission events via selected transmitting ones of a plurality of electroacoustic transducers, and in response to the respective acoustic transmission events, receiving respective acoustic echo signals using other receiving ones of the plurality of electroacoustic transducers, and coherently summing representations of the respective received acoustic echo signals to generate a pixel or voxel value corresponding to a specified spatial location of the target. Such summation can include weighting contributions from the respective representations to suppress contributions from acoustic propagation paths outside a specified angular range with respect to a surface on or within the target, such as to provide an acoustic path-filtered total focusing method (PF-TFM).

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Benoit Lepage