The present disclosure provides a method and a device for detecting and evaluating a defect with electromagnetic multi-field coupling. The method includes magnetizing a pipeline with the electromagnetic multi-field coupling; detecting a defect of the pipeline along an axial direction of the pipeline at a constant speed; collecting signals at a position of the defect to obtain magnetic leakage signals in three dimensions and an electrical impedance signal; pre-processing the collected signals; decoupling the pre-processed signals, to obtain decoupled magnetic leakage signals and a decoupled electrical impedance signal; performing impedance analysis on the decoupled electrical impedance signal, and determining a type of the defect based on a phase angle of the decoupled electrical impedance signal; and performing quantification analysis on the decoupled magnetic leakage signals and performing quantification evaluation on a size of the defect using a neural network defect quantification method.

An aspect includes a vehicle that includes rail inspection sensors configured for capturing transducer data describing the rail, and a processor configured for receiving and processing the transducer data in near-real time to determine whether the captured transducer data identifies a suspected rail flaw. The processing includes inputting the captured transducer data to a machine learning system that has been trained to identify patterns in transducer data that indicate rail flaws. The processing also includes receiving an output from the machine learning system, the output indicating whether the captured transducer data identifies a suspected rail flaw. An alert is transmitted to an operator of the vehicle based at least in part on the output indicating that the captured transducer data identifies a suspected rail flaw. The alert includes a location of the suspected rail flaw and instructs the operator to stop the vehicle and to perform a repair action.

An adjustment structure for an electric eddy current sensor is provided in the present invention, which includes an electric eddy current fixing base, an electric eddy current base plate, a spring buffer mechanism, a rotation adjustment mechanism and an electric eddy current mechanism. The rotation adjustment mechanism is disposed on the electric eddy current fixing base, the electric eddy current mechanism is disposed on the rotation adjustment mechanism, the electric eddy current base plate is disposed on a bottom of the electric eddy current fixing base, and the spring buffer mechanism is disposed on a bottom of the electric eddy current base plate. With provision of the rotation adjustment structure, the control system on the inspection robot drives the adjustment motor to start working, thereby driving the reducer to start working. The output torque of the active adjustment shaft is increased through the action of the reducer.

The eddy current flaw detection apparatus includes: a pair of detecting coils 10a, 10b arranged in coaxial and spaced relation with a specimen 3; and a bridge circuit two sides of which are constituted by the detecting coils so that magnetic fields generated by these detecting coils 10a, 10b are in opposite phases to each other. A pair of exciting coils 11a, 11b are arranged coaxially with the detecting coils 10a, 10b in a manner to sandwich the pair of detecting coils 10a, 10b therebetween. A distance D between the detecting coil and the exciting coil adjacent thereto is set to a distance where a vibrational noise signal excited in the exciting coil and detected by its adjacent detecting coil is in opposite phase to that of a vibrational noise signal excited in the detecting coil and detected by the detecting coil.

A current sensor includes a bus bar in which a current to be detected flows, a circuit board mounted with a magnetic detection element thereon to detect a strength of a magnetic field generated by a current flowing in the bus bar, and a housing including first and second housings provided in such a manner as to sandwich the bus bar and the circuit board therebetween in a plate thickness direction of the bus bar. The first and second housings include slide guide portions respectively which are relatively slidable in a sloping direction with respect to the plate thickness direction of the bus bar while abutting each other in the plate thickness direction of the bus bar.

Systems, methods and apparatuses for inspecting a tank containing a flammable fluid are provided. A vehicle configured to inspect the tank can include a propeller, a battery, a control unit, an inspection device, and a ranging device. The battery provides power to the propeller, the control unit, the inspection device, and the ranging device. The control unit generates a map of the tank. The control unit determines a first position of the vehicle on the map of the tank. The propeller moves the vehicle through the flammable fluid in the tank. The inspection device determines a quality metric of a portion of the tank. The control unit causes the propeller to move the vehicle from the first position to a second position within the tank. The control unit determines the quality metric for the portion of the tank at the second position within the tank, and stores the quality metric.

A method for characterizing at least one joined connection between at least two components, whereby an eddy-current sensor is consecutively moved several times over the at least one weld, thereby generating a plurality of data sets of the detected measuring signals in various parallel sectional planes of the weld, and whereby, on the basis of the plurality of data sets, a projection data set is subsequently determined as the measure of the spatial distribution of the measuring signals along the at least one joined connection.

The disclosure describes techniques for detecting a crack or defect in a material. A computing device may determine whether a tested material includes a crack or other defect based on a temperature-scaled control data set and a measurement data set.

A method for detecting corrosion may comprise placing an electromagnetic logging tool into a wellbore, emitting an electromagnetic field from a transmitter, energizing a casing with the electromagnetic field to produce an eddy current, recording the eddy current from the casing with a receiver, creating a well log from the recorded eddy current, removing a collar signal from the well log to obtain a collar-removed signal, calculating a baseline signal from the collar-removed signal, subtracting the baseline signal from the collar-removed signal to obtain a baseline-subtracted signal, calculating an artifact-removed signal with the baseline-subtracted signal, and displaying the artifact-removed signal. A system for detecting corrosion may comprise an electromagnetic logging tool, wherein the electromagnetic logging tool comprises a transmitter and a receiver. The system may further comprise an information handling system.

Disclose is a system and method for real-time measurement and feedback of metrology and metallurgical data during additive manufacturing (AM) part fabrication. This solution promises to provide higher performance, lower cost AM parts. A sensor is placed either in the rake/roller or following the rake/roller so that it has no impact on the process efficiency and can be used to provide real-time feedback and an archived digital map of the entire part volume. The solution provides non-contact sensing of AM layer's electrical conductivity in a high-temperature environment, metallurgical property verification, porosity imaging, local defect detection and sizing, local material temperature monitoring, and grain anisotropy imaging. Part geometry, the AM powder, and the laser/material interface are monitored in real-time. Dual mode sensing using magnetoquasistatic and optical sensors enhance results. Real-time nonlinear control of the AM fabrication process is performed based on the sensor data.