Abstract: A method for identifying indications in an object via non-destructive testing using inspection equipment comprising a probe is described. The method includes: recording test data corresponding to a signal measurement acquired by the probe; processing the test data using a first analysis machine learning algorithm trained to output a list of detected landmarks; processing the list of detected landmarks to identify regions in the object based on the landmarks; processing the test data and the identified regions using a second analysis machine learning algorithm to output a list of detected indications; processing the list of indications to automatically classify each indication according to one of a plurality of predefined indication types; and outputting the classified indications in a report specifying positions of the classified indications in the object. A corresponding system and non-transitory computer-readable medium are also described.

Abstract: A readout circuit for an electromagnetic inspection system for nondestructive testing of a test object is disclosed. The inspection system includes a plurality of sensors for sensing an electromagnetic response from the test object and generating therefrom a plurality of response signals. The readout circuit can include a plurality of anti-aliasing filters, each configured to receive the response signal from one of the sensors and bandlimit the response signal to produce one of a plurality of bandlimited signals. The readout circuit can also include a time-division multiplexer configured to multiplex the bandlimited signals into a time-division multiplexed (TDM) signal including a sequence of frames outputted at a TDM frame rate, each frame including a plurality of time slots, each time slot assigned to one of the bandlimited signals, wherein the anti-aliasing filters are configured to operate based on the TDM frame rate to attenuate aliasing artifacts in the TDM signal.

Abstract: A method for identifying indications in an object via non-destructive testing using inspection equipment comprising a probe is described. The method includes: recording test data corresponding to a signal measurement acquired by the probe; processing the test data using a first analysis machine learning algorithm trained to output a list of detected landmarks; processing the list of detected landmarks to identify regions in the object based on the landmarks; processing the test data and the identified regions using a second analysis machine learning algorithm to output a list of detected indications; processing the list of indications to automatically classify each indication according to one of a plurality of predefined indication types; and outputting the classified indications in a report specifying positions of the classified indications in the object. A corresponding system and non-transitory computer-readable medium are also described.

Abstract: There is described an Eddy current probe for non-destructive testing, comprising: a first leg extending along a first longitudinal axis between a first proximal end and a first distal end; a second leg extending along a second longitudinal axis between a second proximal end and a second distal end; a high magnetic permeability body extending at least partially between the first and second longitudinal axes, the high magnetic permeability body being spaced apart from the first and second legs by a gap and the high magnetic permeability body and the first and second legs being each made of a high magnetic permeability material; and at least one excitation coil each secured to at least one of the first leg and the second leg.