The present invention relates to a big data-based battery inspection method. Specifically, the present invention is for providing a big data-based battery inspection method which applies information on a metal part of a battery measured by an eddy current sensor to a discrimination function so as to quickly inspect the state of the metal part.

An eddy current instrument for non-destructive testing of a tubular metallic object, the instrument comprising a probe head with probe coils and probe coil signal conditioning and analog to digital conversion electronics and a probe connector module with a processor and probe coil excitation signal generation electronics. The probe connector processor is configured to interface to an external computing device, which may be a personal computer. The probe head and probe connector module may be connected by a rigid shaft or by a flexible coupling.

A method and system for estimating a pipe property for a plurality of nested pipes. The method may comprise disposing an electromagnetic logging tool in a wellbore. The electromagnetic logging tool may comprise a transmitter disposed on the electromagnetic logging tool and a receiver disposed on the electromagnetic logging tool. The method may further comprise transmitting an electromagnetic field from the transmitter into a pipe string to energize the pipe string with the electromagnetic field thereby producing an eddy current that emanates from the pipe string, measuring the eddy current in the pipe string with the receiver on at least one channel to obtain a plurality of measurements, forming a log from the plurality of measurements, zoning the log into a plurality of zones based at least in part on a well plan, and extracting a representative signal for each zone of the plurality of zones.

The inspection device includes: a conveyance route that conveys an inspection object at moving speed v; a first magnetic detector and a second magnetic detector that detect a magnetic field of a magnetic foreign object contained in the inspection object; an amplifying unit that amplifies detection signals of the first magnetic detector and the second magnetic detector; and a computation processing unit that performs processing of multiplying the detection signal of the second magnetic detector by a signal obtained by delaying the detection signal of the first magnetic detector. The first magnetic detector and the second magnetic detector each include one magnetic sensor and the magnetic sensors form a pair.

Disclosed are method and apparatus for measuring material properties. Segmented field sensors have multiple sensing elements at different spatial geometries to capture field components having substantially different depths of penetration. These sensors are excited and measured on these different sensing elements to facilitate characterization of unknown material properties. This is illustrated in some embodiments using eddy current sensors to characterize materials that are frequency dispersive and/or do not produce a measurable phase shifts. Only a single scalar quantity may provide independent information from one or more of the sensing elements. Property estimation techniques, such as those using precomputed databases of sensor responses are used to estimate the unknown material properties.

Method for determining the geometry of one or more real, examined defects of a metallic, in particular magnetizable object, in particular a pipe or a tank, by means of at least two reference data sets of the object generated on the basis of different, non-destructive measurement methods,

wherein the object is at least partially represented on or by an at least two-dimensional, preferably three-dimensional, object grid, in an EDP unit,
wherein an output defect geometry, in particular on the object grid or an at least two-dimensional defect grid, is generated by inversion of at least parts of the reference data sets, in particular by at least one neural network (NN) trained for this object, a respective prediction data set for the non-destructive measurement methods used in the generation of the reference data sets is calculated on the basis of the output defect geometry by a simulation routine, a comparison of at least parts of the prediction data sets with at least parts of the reference data sets is carried out and, depending on at least one accuracy measure, the method for determining the geometry of the defect is terminated or an iterative adjustment of the output defect geometry to the geometry of the real defect(s) is carried out, as well as methods for determining a load limit (FIG. 1).

Systems, methods and apparatuses for inspecting a tank containing a flammable fluid are provided. The system includes a vehicle having a propeller, a latch mechanism, a pressure switch, and an inspection device. The system includes a control unit in communication with the propeller, the latch mechanism, and the inspection device, and electrically connected to the pressure switch. The control unit powers on responsive to the pressure switch detecting an ambient pressure greater than a minimum threshold. The control unit receives, from the latch mechanism, an indication of a state of the latch mechanism. The control unit determines that the cable used to lower the vehicle into the tank containing the flammable fluid is detached from the vehicle. The control unit commands the propeller to move the vehicle through the flammable fluid. The control unit determines a quality metric of a portion of the tank.

A surface property estimation system includes an image acquisition means for acquiring an image of a surface of an object, an estimation means for estimating a surface property from the acquired image by using an estimation model obtained through machine learning with use of an image of a surface of an object and a surface property shown by the image as training data, an extraction means for extracting, from the acquired image, a feature amount unique to the image, and a registration means for storing the estimated surface property and the extracted feature amount in a storage means in association with each other.

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 defect inspection system includes a storage. The defect inspection system also includes a corrosion enhancing defect manager that obtains a circuit card including a trace that is to be encapsulated by a protective layer adapted to reduce corrosion of the trace; applies a voltage potential to the trace while the circuit card is disposed in a visual indicator bath; obtains an image of the trace while the voltage potential is applied; makes a determination, based on the image, that a visual indicator generated by the visual indicator bath is included in the image; and based on the determination: identifies a portion of the trace corresponding to the visual indicator; and applies encapsulant to the portion of the trace.