Method for determining the geometry of multiple defects in a magnetizable object using a reference data record of the object, comprising determining an initial defect geometry as starting defect geometry, determining a first MFL prediction data record as starting prediction data record on the basis of the starting defect geometry, and iteratively adapting the starting defect geometry to the geometry of the real defect(s) by means of the EDP unit and by means of multiple expert routines (11) running in competition and preferably in parallel with one another.

Method for determining the geometry of multiple defects in a magnetizable object using a reference data record of the object, comprising determining an initial defect geometry as starting defect geometry, determining a first MFL prediction data record as starting prediction data record on the basis of the starting defect geometry, and iteratively adapting the starting defect geometry to the geometry of the real defect(s) by means of the EDP unit and by means of multiple expert routines (11) running in competition and preferably in parallel with one another.

A first-order resistor-inductor (RL) circuit is allowed to alternate a direct-current excitation response and a zero-input response so that a direct-current magnetic field generated by an inductor magnetizing coil changes alternately in magnetic field intensity with a change in magnitude of current. After a testing object is placed in the direct-current magnetic field changing alternately in magnetic field intensity, the testing object is magnetized and also causes a change in inductance of the magnetic field. Whether a change occurs in electromagnetic properties of the testing object can be determined and detected by detecting the inductance change of the magnetizing coil or detecting electrical characteristic change caused by the inductance change of the magnetizing coil, thereby determining whether quality defects such as steel wire cracks and wire breakage in a steel wire rope occur. Alternatively, the properties such as a sectional area or a zinc layer thickness can be analyzed.

A first-order resistor-inductor (RL) circuit is allowed to alternate a direct-current excitation response and a zero-input response so that a direct-current magnetic field generated by an inductor magnetizing coil changes alternately in magnetic field intensity with a change in magnitude of current. After a testing object is placed in the direct-current magnetic field changing alternately in magnetic field intensity, the testing object is magnetized and also causes a change in inductance of the magnetic field. Whether a change occurs in electromagnetic properties of the testing object can be determined and detected by detecting the inductance change of the magnetizing coil or detecting electrical characteristic change caused by the inductance change of the magnetizing coil, thereby determining whether quality defects such as steel wire cracks and wire breakage in a steel wire rope occur. Alternatively, the properties such as a sectional area or a zinc layer thickness can be analyzed.

A magnetic flaw detection method includes a magnetization step (S2) of moving a magnet (21) in a predetermined direction (D) along a surface of an object (7) that is a magnetic body and subsequently removing the magnet (21) from the surface of the object (7) to magnetize a region (R) corresponding to a movement range of the magnet (21) on the object (7), a sensor arrangement step (S3) of arranging a magnetic sensor (35a) to be capable of measuring magnetic flux leakage (8) generated from an abnormal portion (72) of the region (R) that was magnetized in the object (7), and a detection step (S4) of detecting an abnormality in the region (R) with the magnetic sensor (35a) arranged by the sensor arrangement step (S3).

A magnetic flaw detection method includes a magnetization step (S2) of moving a magnet (21) in a predetermined direction (D) along a surface of an object (7) that is a magnetic body and subsequently removing the magnet (21) from the surface of the object (7) to magnetize a region (R) corresponding to a movement range of the magnet (21) on the object (7), a sensor arrangement step (S3) of arranging a magnetic sensor (35a) to be capable of measuring magnetic flux leakage (8) generated from an abnormal portion (72) of the region (R) that was magnetized in the object (7), and a detection step (S4) of detecting an abnormality in the region (R) with the magnetic sensor (35a) arranged by the sensor arrangement step (S3).

Provided is a method and a system capable of detecting a fatigue state before damage to a rolling bearing component occurs, and capable of performing diagnosis of the fatigue state without having to disassemble the rolling bearing.

A magnetic sensor arranged close to a component of a rolling machine element measures magnetic flux density in the axial direction and/or radial direction of the component, then the amount of change in magnetic flux density is calculated based on a reference magnetic flux density corresponding to the magnetic flux density before the start of use of the component, and the progression of fatigue of the rolling machine element is determined from the amount of change.

A gate detection robot based on a giant magnetoresistance element includes a support, a guide wheel, and two driving wheels are provided at the bottom of the support. The support is provided with a controller, a range-based localization module, and a magnetic flaw detection sensor based on the giant magnetoresistance element. The magnetic flaw detection sensor includes an excitation mechanism, a giant magnetic sensor, and two magnetic concentrators. During detection, the excitation mechanism magnetizes a gate with a magnetic field as a medium. When the surface of the gate has a defect, the magnetic conductivity of the local area is reduced and the magnetic resistance is increased so that magnetic lines are distorted and diffused outside the gate to form a detectable leakage magnetic field signal, the signal is transmitted to the controller, so that the controller obtains a specific location of the detection robot.

A gate detection robot based on a giant magnetoresistance element includes a support, a guide wheel, and two driving wheels are provided at the bottom of the support. The support is provided with a controller, a range-based localization module, and a magnetic flaw detection sensor based on the giant magnetoresistance element. The magnetic flaw detection sensor includes an excitation mechanism, a giant magnetic sensor, and two magnetic concentrators. During detection, the excitation mechanism magnetizes a gate with a magnetic field as a medium. When the surface of the gate has a defect, the magnetic conductivity of the local area is reduced and the magnetic resistance is increased so that magnetic lines are distorted and diffused outside the gate to form a detectable leakage magnetic field signal, the signal is transmitted to the controller, so that the controller obtains a specific location of the detection robot.

A non-destructive inspection method of inspecting an inspection target using multiple different types of non-destructive inspection means that include one non-destructive inspection means and at least one other non-destructive inspection means. The method includes determining a marking position on the inspection target in a detection result by the one non-destructive inspection means, causing a device to store the marking position, and fixedly forming a mark on the inspection target corresponding to the marking position. The mark is detectable by the other non-destructive inspection means. The method further includes causing the other non-destructive inspection means to inspect an inspection target including the mark. The method further includes contrasting detection results by the multiple different types of non-destructive inspection means in reference to the mark which is the marking position.