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 detecting a sub-surface defect, the set of instructions comprising an instruction to receive scan data for a part from a transducer; an instruction to collect the scan data; an instruction to determine an indication in the scan data that indicates a distractor, wherein the indication is based on a learning phase module and an inference phase module that the processor uses to self-assess the indication; and an instruction to create a defect indication report.

The disclosure discloses a method, apparatus and system for detecting multi-mode electromagnetic acoustic and magnetic flux leakage and a sensor. The method comprises: S102, receiving an operation instruction for detecting an object to be detected, the operation instruction is used for controlling a detection sensor to enter into any one or more of working modes as follows: magnetic flux leakage detection, ultrasonic bulk wave detection, ultrasonic guided wave detection and surface wave detection; S104, controlling the detection sensor to output a corresponding detection signal according to the operation instruction; and S106, detecting the object to be detected on the basis of the detection signal. The technical solution achieves a purpose of using one sensor to realize various detection modes, such as magnetic flux leakage and electromagnetic acoustic modes, reduces complexity and cost of a detection system, and improves detection efficiency.

A cutting machine for detecting a defect during a manufacturing process is disclosed. The cutting machine comprises a base structure having a planar surface defining a working area, a rack to support a material spool, a cutter assembly, and a material-inspection system. The rack may be positioned at an end of the base structure to facilitate unrolling of a composite material sheet from the material spool and onto the working area. The cutter assembly comprises a cutter tool to cut the composite material sheet on the working area. The cutter assembly may be configured to move relative to the working area via a two-axis gantry. The material-inspection system comprises a plurality of non-contact ultrasonic sensors to measure one or more material properties of the composite material sheet. The measured one or more material properties can be used to detect and predict defects in the composite material sheet.

A testing device includes a first member to be positioned on one surface of a part to be tested. A second member to be positioned on an opposed surface of the part to be tested. One of the first and second members have an ultrasonic transmitter and the other has an ultrasonic receiver. At least one of the first and second members have at least one magnetic element and the other of the first and second member have at least one magnetic or at least one ferromagnetic metallic element such that when one of the first and second members moves along the surface of the tested part the other of the first and second members will move along an opposed surface with the one of the members.

An improved domain transformation method for a dispersive ultrasonic guided wave signal, including the following steps: obtaining a dispersive wave number curve and a non-dispersive wave number curve corresponding to a mode of an ultrasonic guided wave signal; calculating an ultrasonic guided wave excitation waveform that is in distance domain and that has a reduced space width; obtaining an ultrasonic guided wave impulse response signal in distance domain; and calculating and obtaining a non-dispersive ultrasonic guided wave distance-domain signal whose resolution is enhanced.

An imaging method based on guided wave scattering of omni-directional EMATs includes: selecting an n.sup.th omni-directional EMAT from N omni-directional EMATs uniformly arranged in a detection region of a metal plate to be detected as an excitation EMAT; selecting m omni-directional EMATs as omni-directionally receiving EMATs to omni-directionally receive an ultrasonic guided wave signal, and calculating a travel time and intensity of the ultrasonic guided wave signal; judging whether the excitation EMAT and the omni-directionally receiving EMATs form a scattering group, if yes, calculating a position of a scattering point; judging whether the position of the scattering point is within a preset scattering region, if yes, determining the position of the scattering point as an effective scattering point; repeating the above steps until all N omni-directional EMATs have excited omni-directional ultrasonic guided waves, and performing curve fitting on all effective scattering points to obtain a defect profile image.

The present invention provides a method for locating a machining position in a repair material that is arranged on a member including a machined portion formed by predetermined machining, the method including: a step of arranging a marker including a portion having a different propagation characteristic of an ultrasonic wave from that of a peripheral portion in the machined portion existing in the member before the repair material is arranged on the member; and a step of applying the ultrasonic wave to the member covered with the repair material and locating the machining position at a position of the marker captured by the ultrasonic wave after the repair material is arranged on the member.

A method for determining a position of a fault of equipment includes receiving a plurality of sound source signals from a plurality of sound source inputting apparatuses, determining an abnormal operation of the equipment by analyzing at least one sound source signal among the sound source signals, and extracting abnormal sound source signals from the sound source signals. The abnormal sound source signals are indicative of abnormal operation of the equipment. The method further includes determining a position of the abnormal operation based on a time difference between the abnormal sound source signals.

A method for diagnosing a cause of noise of a vehicle is disclosed. The method includes receiving, by a controller, a sound source signal through a microphone installed in the vehicle. The method further includes transmitting, by the controller, the received sound source signal to an artificial intelligence server and extracting, by the artificial intelligence server, reference data corresponding to the sound source signal by comparing the received sound source signal with stored reference data. Additionally, the method includes transmitting, by the artificial intelligence server, the extracted reference data to the controller and outputting, by the controller, to a diagnostic apparatus, an output signal including information about the cause of noise of the vehicle based on the received reference data.

A system for nondestructive evaluation of a test object includes a platform, an electromagnetic acoustic transducer (EMAT) to create acoustic vibrations that travel along the test object; an infrared detector positioned to record thermal images of a plurality of test areas on the test object to detect flaws in the test object as the platform and the test object move relative to each other; and a control connected to actuate the EMAT and the infrared detector, synchronize the creation of vibrations with the recording of thermal images, receive a signal from the infrared detector indicative of the thermal image of the surface of the test object, and record locations of the flaws appearing on the thermal images of the test areas, all as the platform and the test object move relative to each other.