605 results about "Eddy-current sensor" patented technology

The invention provides a high-frequency eddy current-based metal pipeline conductivity measurement method, which comprises the following steps: designing an absolute eddy current sensor, positioning a sensor coil on the inner side of a metal pipeline and coaxially arranging the sensor coil and the pipeline, and introducing high-frequency alternating current into the coil to generate eddy current; establishing a simplified high-frequency eddy current detection analysis theoretical model, and setting geometric dimensions of a sensor and a pipeline; a Bessel function and a spatial resolution expression are used for analyzing the relation between the real part of the eddy current impedance change under high-frequency excitation and the conductivity of the pipeline; setting the conductivity of the metal pipeline according to the analysis result, and fitting the relation between the impedance change and the conductivity through a power function; and according to a coil impedance measurement result, combining the fitted power function curve, and performing inversion to obtain the actual conductivity of the metal pipeline. According to the invention, the conductivity of the metal pipeline can be effectively measured.

The invention relates to a metal surface defect identification method and device based on artificial intelligence, equipment and a medium. The identification method comprises the following steps: synchronously acquiring an electromagnetic impedance signal and an optical image of a metal surface based on an eddy current sensor and an industrial camera; generating a spatially positioned interference area mask by quantifying cross-physics field interference intensity of the electromagnetic gradient and the optical edge feature; performing skin effect compensation on an electromagnetic signal by using the mask, and simultaneously performing shadow suppression on an optical image to realize physical field decoupling; a double-branch neural network is called to fuse the decoupled electromagnetic impedance features and optical texture features, and cross-modal associated joint feature expression is established; and analyzing the defect probability heat map based on the fused features, and outputting defect types and coordinates in combination with geometric feature matching. According to the method, the problem of defect feature mixing caused by mutual interference of electromagnetic-optical signals is solved, and the recognition precision and the positioning reliability of the micro defects are remarkably improved.

The invention belongs to the technical field of eddy current sensor calibration, and discloses an eddy current sensor for a high-temperature environment and a calibration method thereof. The method comprises the following steps: synchronously acquiring working current, voltage, surface position, temperature, standard displacement signals and original output voltage of an eddy current sensor, constructing an oxide layer equivalent circuit model, and optimizing to obtain thickness distribution; building a thickness increase model, and building a correlation model to calculate time-varying impedance; calculating a sensitivity coefficient function, and designing a piecewise calibration function to obtain a calibration parameter set; and finally, dynamically compensating the original output voltage in combination with the calibration parameter set to obtain the calibrated displacement. A temperature field, a standard displacement signal and an original voltage signal are collected, a temperature-oxide layer-impedance three-dimensional dynamic model is established, and the nonlinear influence of oxide layer growth and temperature gradient is compensated in real time.

The invention belongs to the technical field of flange detection, and particularly relates to a flange forge piece defect detection device and method.The flange forge piece defect detection device comprises a rotary clamping mechanism, a defect detection module, a force control executing mechanism, a marking mechanism and a control module, the defect detection module comprises an eddy current sensor and an ultrasonic probe, and the force control executing mechanism and the marking mechanism are also integrated on a shell; the control module is mounted in the electric control box; the eddy current sensor is used for monitoring a voltage fluctuation value in real time and generating a surface crack density coefficient through the control module; and the ultrasonic probe is used for monitoring an echo amplitude value in real time and generating an internal defect attenuation coefficient through the control module. By integrating the eddy current sensor and the ultrasonic probe, detection of surface cracks (voltage fluctuation monitoring) and internal defects (echo amplitude analysis) of the flange forge piece is synchronously achieved, the problem that the surface quality and the internal quality cannot be considered in a traditional single detection mode is solved, and the safety risk caused by missing detection of the defects is reduced.

The invention discloses an online detection method for small and special motor winding defects based on pulsed eddy current and deep learning, and relates to the technical field of nondestructive testing, original pulsed eddy current detection data containing time domain signals and frequency domain features are collected through a multi-channel eddy current sensor array, and a Maxwell equation constraint network is used for denoising and feature enhancement of the data, so that the detection accuracy is improved. Generating a defect feature candidate set in combination with a multi-scale defect generative adversarial network to obtain target eddy current data, applying a chaos frequency modulation pulse sequence to the target eddy current data as an excitation signal, and collecting a response signal by using a phase synchronization frequency locking technology to obtain enhanced eddy current data; the method comprises the following steps: extracting a physical feature of a sensor, extracting a corresponding electromagnetic feature vector containing the physical feature and a deep learning feature, comparing the electromagnetic feature vector with a preset defect feature library, and determining a defect detection result by combining dynamic excitation response difference. And constructing a dynamically updated defect feature library and combining with a fine tuning network.

The present invention discloses a method and device for simultaneously measuring the bending vibration and torsional vibration of a rotating machinery shaft. The gear disk is installed on the shaft to be measured, and the gear disk is driven to rotate by the shaft to be measured. An alternating voltage signal is output by the eddy current sensor and converted into a digital signal by the software part, so as to obtain the original vibration signal. The maximum value finding method is used twice to extract the bending vibration and torsional vibration of the shaft. Through the above method, the simultaneous measurement of the torsional vibration and bending vibration of the shaft can be realized. The same set of sensors and instruments are used for the two types of vibration measurements, and the cost is relatively low.

The embodiment of the invention provides a permanent magnet synchronous motor electrical eddy current sensor angle error compensation method, and belongs to the technical field of motor driving. The compensation method comprises the following steps: acquiring differential sine and cosine signals output by the eddy current sensor; calculating a direct-current bias error according to the differential sine and cosine signals so as to obtain differential sine and cosine signals after direct-current bias error compensation; calculating an amplitude asymmetric error compensation coefficient according to the extreme values of the differential sine and cosine signals after the DC bias error compensation so as to obtain the differential sine and cosine signals after the amplitude asymmetric error compensation; and calculating the position angle of the motor rotor according to the difference sine and cosine signals after the amplitude asymmetric error compensation, and compensating the position angle by using the second harmonic cosine wave component of the position angle to obtain the real position angle of the motor rotor after compensation. According to the method, only algebraic addition and subtraction and multiplication are used, the execution time of the system is saved, the operation efficiency is improved, and the requirement for obtaining the position angle in real time is met.

A method for detection and measurement of metallic objects such as rebars embedded in a concrete building structure, with emitting an electro-magnetic sensor signal and measuring an inductive response signal at different sensing positions at the surface of the structure, thereby measuring the sensing positions in such a way that the response signal is position determined. The detection of objects and determination of their depths and / or diameters is based on AI models which evaluate the response signal.

The embodiment of the invention provides an excitation signal generation method and system and a digital eddy current sensor, and the method comprises the steps: outputting a square wave signal through a pulse width modulation assembly of a microcontroller unit, and enabling the frequency and resolution of the square wave signal to be adaptive to eddy current probes with different inductance values; inputting the square wave signal into a low-pass filter for filtering, and setting the cut-off frequency of the low-pass filter, the suppression times of higher harmonics and the attenuation slope so as to output a sine wave signal with a target total harmonic distortion range; the amplitude of the sine wave signal is collected in real time, and the pulse width modulation duty ratio and the passband gain of a low-pass filter are dynamically adjusted in combination with a digital control algorithm, so that the sine wave signal is subjected to self-adaptive adjustment and correction and is output; and taking the sine wave signal as an excitation source of an eddy current probe, and driving the eddy current probe to carry out nondestructive testing. According to the invention, the excitation signal which gives consideration to high-frequency signal generation, deep harmonic suppression and digital adaptive adjustment can be generated.

The invention provides a building steel structure engineering detection device based on a sensor, and relates to the field of building steel structure engineering detection. The detection device comprises a sectional type bionic mechanical arm which is formed by connecting at least six joint sections capable of being bent independently in series, and a pneumatic driving cavity and a shape memory alloy wire are arranged in each joint section; the self-tightening winding mechanism comprises a pre-tightening belt surrounding the outer wall of the mechanical arm and a pressure feedback unit; the multi-mode detection head is fixed at the tail end of the mechanical arm and is integrated with an eddy current sensor, an ultrasonic phased array probe and a high-resolution industrial camera; and the central control module is in signal connection with the mechanical arm and the multi-mode detection head, dynamically plans a winding path of the mechanical arm according to laser ranging data of the laser ranging module, and selectively starts the eddy current sensor or the industrial camera to perform cooperative detection based on an initial scanning result of the ultrasonic phased array probe. And the effects of self-adaption to complex morphology, synchronous completion of multi-type defect detection and environmental interference resistance are achieved.

The invention provides a calibration method and device for an eddy current sensor, a thickness measurement method and device and chemical mechanical polishing equipment, and the method comprises the steps: obtaining a first excitation signal generated by a signal source of the eddy current sensor before the chemical mechanical polishing of a wafer; in the chemical mechanical polishing process of the wafer, a second excitation signal generated by the signal source of the eddy current sensor is obtained, and a wafer signal collected by the eddy current sensor is obtained; correcting the wafer signal according to the first excitation signal and the second excitation signal to obtain a corrected wafer signal; and establishing a mapping relation between calibration information determined according to the corrected wafer signal and a predetermined wafer thickness so as to calibrate the eddy current sensor. According to the scheme, the accuracy of the metal film thickness measured by the eddy current sensor is improved.

The invention discloses a single-excitation dual-output multi-parameter measurement eddy current sensor, which is characterized in that after the eddy current sensor is arranged on the surface of a tested piece, a sine excitation signal with certain frequency and power is introduced into an excitation coil, and a magnetic field generated by the excitation coil generates eddy current on the surface of the tested piece; in the actual detection process, the lift-off value of the eddy current sensor and the surface of the tested piece is changed due to mechanical vibration or random working conditions, impedance in the excitation coil is changed, and then the current value of a loop where the excitation coil and the capacitor are located is changed. The impedance change caused by lift-off can be represented by acquiring the voltage values at the two ends of the capacitor; the differential receiving coil receives a combined magnetic field of a primary magnetic field and an eddy current field under the combined action of the primary magnetic field and the eddy current field, and has a lift-off suppression effect to a certain extent, and the balance of the receiving coil is broken only when a defect is encountered, so that the defect is detected and represented by measuring a voltage signal of the receiving coil.

The invention relates to the technical field of steel rail flaw detection, in particular to a flaw detection wheel detection platform. Comprising a flaw detection platform, a detection rail is arranged on the flaw detection platform in the X-axis direction, an X-axis displacement assembly, a Y-axis displacement assembly, a Z-axis displacement assembly, a horizontal transmission frame, a flaw detection mounting frame, a flaw detection mechanism, a cleaning mechanism and a touch display screen are fixedly installed on the flaw detection platform, and the horizontal transmission frame and the flaw detection mounting frame are installed on the X-axis displacement assembly. The flaw detection mechanism comprises an ultrasonic detection wheel, an eddy current sensor and a visual detector, a differential detection assembly and a pressure detection assembly are mounted on the ultrasonic detection wheel, and the pressure detection assembly comprises a ventilation pipeline, and a first pressure sensor, a pneumatic spring and a bearing seat which are arranged on two sides of the ultrasonic detection wheel. Omnibearing detection of internal, surface and near-surface defects of the steel rail is realized, a self-adaptive adjustment mechanism is provided, and the stability of the detection process is ensured; impurities on the surface of the steel rail can be cleaned comprehensively; and good surface conditions and coupling effects are provided for flaw detection.

The utility model relates to the technical field of driving motors and electric driving systems, in particular to a diversion structure and an eddy current sensor, the diversion structure comprises a shell, a capacitor assembly and a diversion body, the shell is provided with an abdicating channel, and the abdicating channel is used for accommodating a rotating shaft of a motor; the capacitor assembly is fixedly arranged on the shell; the current guiding body is fixedly arranged on the shell and electrically connected with the capacitor assembly, the current guiding body is provided with a current guiding end exposed out of the shell, and the current guiding end is located in the receding channel and used for abutting against a rotating shaft of a motor. The utility model aims to provide a flow guide structure and aims to reduce the occurrence probability of electro-corrosion.

The utility model discloses an automobile eddy current dual-redundancy Hall sensor and a working method thereof in the field of automobile rotor angle detection and hovercar paddle position detection, and the sensor comprises a housing which is annular, the housing is provided with a mounting cavity, the mounting cavity is internally provided with an annular circuit board, the circuit board is connected with a wiring harness assembly, and the wiring harness assembly is connected with the housing. A sealing glue layer is arranged above the circuit board in the shell mounting cavity, the lower side of the shell is provided with a downward extending cylinder which extends downwards, a Hall sensor is arranged in the downward extending cylinder, and the Hall sensor is correspondingly connected with the circuit board. According to the utility model, through the dual-redundancy design, the eddy current sensor can reach ASIC-D at most; the Hall sensor is integrated into the circuit, so that the space occupied by the arrangement of the two sensors can be effectively reduced, and the weight is reduced.

The invention discloses an eddy current type edge sensor probe, which comprises a differential block and a positioning table, the differential block is fixedly clamped on a corresponding sub-mirror through a three-point stress application mechanism, the top surface of the positioning table is provided with a height adjusting disc with an adjustable pose, and a target plate is arranged above the height adjusting disc. The positioning table, the height adjusting disc and the target plate are fixedly clamped on the corresponding sub-mirrors through a three-point stress application mechanism; an eddy current sensor is arranged between the differential block and the target plate; the top face of the positioning table is fixedly provided with three supporting bosses which are equal in height, connecting lines of center points of the supporting bosses are distributed in an unequal-angle triangle mode, the bottom face of the height adjusting disc is provided with a plurality of height fixing boss sets which are unequal in height, and each height fixing boss set comprises three height fixing bosses which are equal in height and distributed corresponding to the supporting bosses. According to the invention, the rapid and accurate fine adjustment of the vertical relative height of the target plate and the differential block is realized, so that the relative position change of the detection end of the eddy current sensor caused by environmental factors is compensated, and the adjustment operation is convenient.

The invention discloses a pulsed eddy current-based overhead ground wire corrosion detection method and system. The method comprises the following steps: acquiring an eddy current detection signal output by an annular pulsed eddy current sensor mounted on an overhead ground wire; according to the eddy current detection signal, obtaining a time domain characteristic value for representing the corrosion degree of the ground wire; the time domain characteristic value comprises a time domain characteristic value delta Smax of the magnetic conductivity variable quantity or / and a time domain characteristic value T delta S of the conductivity variable quantity; and comparing the time domain characteristic value delta Smax of the magnetic conductivity variable quantity or / and the time domain characteristic value T delta S of the conductivity variable quantity with a corresponding preset standard threshold value, and judging the corrosion degree of the overhead ground wire according to a comparison result. The method has the advantages of high detection efficiency, accurate detection and the like.

The embodiment of the invention provides a wafer monitoring method for metal CMP, CMP equipment and a computer storage medium, and the method comprises the steps: obtaining at least one first image collected by an image collector in a process that the CMP equipment carries out the chemical mechanical polishing of a metal layer of a wafer, the CMP equipment comprises a polishing head, a polishing pad and a liquid supply arm, the polishing head is used for driving the wafer to abut against the polishing surface of the polishing pad, the liquid supply arm is used for providing polishing liquid for the polishing surface, and the polishing pad is used for driving the wafer to abut against the polishing surface of the polishing pad. The image collector is used for collecting images of bow waves formed by the polishing liquid at the position, close to the polishing head, of the polishing pad; and determining whether the wafer slides relative to the polishing head or not according to the width of the bow wave in the at least one first image and the wafer signal. According to the scheme, the monitoring result of monitoring the wafer slip sheet is more accurate.

The invention discloses a height-level adjustable eddy-current type edge sensor probe, which comprises a transmitting end cantilever beam, a receiving end cantilever beam and an eddy-current type sensor, and is characterized in that a receiving unit of the eddy-current type sensor is fixedly arranged on the top surface of the cantilever end of the receiving end cantilever beam; a transmitting unit of the eddy current type sensor is fixedly arranged on the bottom surface of the cantilever end of the transmitting end cantilever beam and is parallel to a receiving unit; a height adjusting disc is arranged at the bottom of the transmitting end cantilever beam, and the bottom face of the transmitting end cantilever beam is connected with the top face of the height adjusting disc through a BV structure with a multi-stage height adjusting function. A BV structure is adopted between the transmitting end cantilever beam and the height adjusting disc to achieve accurate positioning and restraining of the transmitting end cantilever beam, rapid and accurate debugging and fine adjustment of the vertical height of the transmitting end cantilever beam are achieved, therefore, compensation is conducted on relative position changes, generated by environmental factors, of the detection end of the eddy current inductor, adjustment operation is convenient, and the adjustment precision is high. And the working stability of the eddy current sensor can be ensured after adjustment.

To provide a dimension measurement device which can efficiently perform dimension measurement of a work material in one direction with high accuracy, and to provide a cutting tool system and a dimension measurement method.SOLUTION: A dimension measurement device includes a sensor unit and a measurement device body. The sensor unit includes: a first distance sensor using an eddy-current sensor; and a signal conversion unit which outputs output signals of the distance sensor as detection values at a preset time interval. The measurement device body includes: a detection control unit which detects a distance to a work material with the sensor unit while rotating the work material; an acquisition unit which acquires the multiple detection values output from the sensor unit at the time interval in a preset specified time period; a calculation unit which calculates an average value of the detection values acquired by the acquisition unit; and a result output unit which outputs a measurement result of the work material based on the average value of the detection values calculated by the calculation unit.SELECTED DRAWING: Figure 1

A measuring apparatus for a concrete structure includes an eddy current sensor configured to contact the concrete structure; a ground penetrating radar (GPR) sensor configured to contact the concrete structure; at least one memory storing one or more instructions; and a controller operably connected to the eddy current sensor, the GPR sensor, and the at least one memory, wherein the one or more instructions, when executed by the controller, cause the apparatus to: provide a first input signal to the eddy current sensor and a second input signal to the GPR sensor, obtain a first moisture content of a portion of the concrete structure based on an output of the eddy current sensor, obtain a second moisture content of the portion of the concrete structure based on an output of the GPR sensor, and obtain a final moisture content of the portion of the concrete structure based on at least one of the first moisture content and the second moisture content.

The embodiment of the invention discloses a temperature compensation circuit of an eddy current sensor. The temperature compensation circuit comprises an excitation source, an LC resonance unit, a detection unit, a filtering unit, an amplification unit and a temperature compensation unit, the excitation source is used for inputting an alternating current signal; the LC resonance unit is used for forming resonance according to the alternating current signal; the detection unit is used for modulating the alternating current signal after resonance into a direct current signal; the filtering unit is used for filtering the direct current signal; the amplification unit is used for amplifying the filtered direct current signal and then outputting the amplified direct current signal; and the temperature compensation unit is used for compensating the drift distance of the sensitivity of the signal output by the amplification unit under the temperature change and compensating the drift distance of the bias of the input signal of the amplification unit under the temperature change. By implementing the circuit provided by the embodiment of the invention, the sensitivity temperature drift and the bias temperature drift output by the eddy current sensor can be compensated, and the stability and the accuracy of the output of the eddy current sensor are ensured.

The invention discloses a new energy automobile motor shaft damage detection method, and relates to the technical field of mechanical part tests.The new energy automobile motor shaft damage detection system comprises an eddy current detection module, an ultrasonic detection module and a track setting module, and the eddy current detection module sweeps a motor shaft through an eddy current detection method; the estimation module is used for estimating approximate distribution of distortion cracks and fatigue cracks, the ultrasonic detection module is used for scanning axial areas of the distortion cracks and the fatigue cracks by adopting a spiral scanning method and a circumferential stepping scanning method, and the track setting module is used for setting a scanning track according to the axial distribution of the fatigue cracks and the distortion cracks. The eddy current detection module comprises an eddy current sensor, a signal processing unit and a data acquisition module, the signal processing unit is electrically connected with the eddy current sensor, and the data acquisition module is electrically connected with the signal processing unit.

The invention relates to the technical field of nondestructive testing, in particular to an online detection system based on an eddy current technology and a detection method thereof, and the system comprises an array eddy current sensor module, a signal processing module, a data acquisition module, an algorithm processing system module, a control system module, a display module, a power supply module and a storage module. Through the effects of the array eddy current sensor module, the signal processing module and the control system module, the system has the advantages of good sensitivity and high display result precision; the problems that according to an existing on-line detection system, due to the fact that an eddy current sensor achieves displacement measurement by converting impedance changes of an inductive probe into voltage or current changes, the impedance output characteristics of the inductive probe are affected by environment temperature, an excitation source, a detected object and the like, the performance and signal transmission of the sensor in all aspects are affected, and displacement measurement is influenced are solved. Therefore, the signal sensitivity and the display result precision are reduced.

The invention discloses a fault detection method of an eddy current sensor, a related device, equipment and a medium, and the method comprises the steps: sampling a first AC signal and a second AC signal outputted by the eddy current sensor, and obtaining sampling data; based on the sampling data, determining whether the eddy current sensor has a target fault; wherein the target fault comprises at least one of a DC fault and an AC fault; under the condition that the eddy current sensor has a direct current fault, at least one of the first alternating current signal and the second alternating current signal is changed into a direct current signal from an alternating current signal; when the eddy current sensor has an alternating current fault, at least one of the first alternating current signal and the second alternating current signal becomes an abnormal alternating current signal. Through the mode, the fault type of the eddy current sensor can be detected, the fault reason and the fault position of the eddy current sensor can be quickly determined during maintenance, and the maintenance efficiency of the eddy current sensor is improved.

The invention relates to an eddy current sensor inspection system with an AI. A method for detecting and measuring a metal object (2, 2a-2c), such as a reinforcement embedded in a concrete building structure (54), in which electromagnetic sensor signals (S, Se) are emitted and inductive response signals (S, Sr) are measured at different sensing positions (x) of a surface (55) of the structure (54), thereby measuring the sensing positions (x) in such a way that it is determined that the response signals (S, Sr) are position-determined. The detection of the objects (2, 2a-2c) and the determination of their depth (z) and / or diameter (d) are based on an AI model evaluating the response signals (S, Sr).

The invention provides a metal material surface defect detection method and system based on multiple sensors, and relates to the technical field of defect detection, and the method comprises the following steps: collecting and preprocessing multi-modal data of a material surface through optical, ultrasonic and eddy current sensors; constructing a local association graph by using a graph convolution feature fusion network, and extracting local association features through cascaded graph convolution operation; constructing a feature hypergraph structure based on the original features and the local correlation features, constructing a feature correlation tensor, and obtaining global correlation features through tensor decomposition; and finally, based on an attention mechanism, carrying out adaptive fusion on the hypergraph structure features and the global correlation features to realize defect detection. According to the method, the local structure relation and the global interaction mode of the multi-modal data can be effectively captured, and the detection accuracy is improved.

The invention relates to the technical field of nondestructive testing of engine blades, and discloses an in-service in-situ electromagnetic acoustic detection system and method for aero-engine blades, which adopt an integrated design of an array eddy current sensor and an array surface wave sensor, ensure that dangerous cracks exposed out of a blade tenon can be reliably detected by an eddy current method, and meanwhile, improve the detection accuracy of the blade tenon. The internal fatigue damage can also be detected by an ultrasonic method, so that the engineering application problem that the embedded fatigue crack of the blade tenon of the aero-engine cannot be effectively detected in situ is solved.

The invention belongs to the technical field of pipeline monitoring, and particularly relates to a pulsed eddy current sensor device for metal pipeline corrosion monitoring, which comprises a base and a control box fixedly embedded in the top of the base, and further comprises a plurality of mounting shells which are arranged below the base, and two adjacent mounting shells are hinged to each other; each mounting shell is provided with a pulsed eddy current detection probe; the retracting and pulling unit is mounted in the base and used for applying pulling force to the mounting shell; the walking units are fixedly arranged at the two ends of the base. The device can automatically adapt to pipelines with different diameters and perform plane detection, the probe does not need to be replaced, the probe can be automatically controlled to be attached to the pipeline, repeated detection or missing detection is avoided, the detection efficiency is improved, meanwhile, the device can automatically walk along the pipeline and switch the detection position, full-automatic coverage monitoring is achieved, manual intervention is reduced, and the detection effect is improved.

The invention discloses an elevator steel belt damage detection and quantitative analysis system based on eddy current and magnetic flux leakage dual-mode detection, and aims to solve the problems of single-mode information loss and serious industrial field strong noise interference in the existing steel belt detection. The system synchronously integrates an eddy current sensor, a magnetic flux leakage sensor and an encoder through a multi-probe array adapter; and multi-dimensional damage physical information in the steel strip is obtained. An improved wavelet packet transform-empirical mode decomposition (WPT-EMD) collaborative noise reduction algorithm is adopted, and in combination with a sub-band energy entropy and a self-attention mechanism, non-stationary mechanical noise is effectively filtered out. A multi-rule feature extraction engine is used for extracting smooth residual errors, derivative mutation and other features, a support vector machine (DE-SVM) model introducing physical priori knowledge weights is constructed, and the small sample recognition problem is solved in combination with a virtual sample generation technology. The method can realize high-precision positioning and quantitative evaluation of steel strip damage under complex working conditions, and has the characteristics of strong anti-interference capability, high identification accuracy and good generalization performance.