249 results about "Lamb waves" patented technology

Dispersive delay lines are disclosed. The dispersive delay line can include a piezoelectric substrate having a first interdigital transducer electrode on a first region of the piezoelectric substrate and a second interdigital transducer electrode on a second region of the piezoelectric substrate. The dispersive delay line is arranged such that an acoustic wave is configured to propagate from the first interdigital transducer electrode to the second interdigital transducer electrode though a third region of the piezoelectric substrate. An additional material positioned on the third region of the piezoelectric substrate can impact acoustic wave propagation velocity. Related radio frequency modules, wireless communications devices, and methods are disclosed.

The invention provides a Lamb wave excitation and receiving optimization method for hyperbolic glass curtain wall nondestructive testing and positioning. The method comprises the following steps: acquiring curtain wall parameter information of a hyperbolic glass curtain wall to be detected and positioned; the curtain wall parameter information at least comprises geometric parameters, thickness parameters, material parameters and environmental parameters; optimizing Lamb wave parameters corresponding to the glass curtain wall according to the curtain wall parameter information; the Lamb wave parameters at least comprise an excitation frequency, a waveform coefficient and an excitation angle; performing signal emission and receiving on the hyperbolic glass curtain wall according to the optimized Lamb wave parameter, and obtaining a damage reflection signal corresponding to the hyperbolic glass curtain wall; performing time-frequency domain decomposition on the damage reflection signal according to wavelet packet transformation to obtain a damage feature vector; and obtaining a neural network positioning model containing hyperbolic geometric constraints, inputting the damage feature vectors into the neural network positioning model, and outputting damage three-dimensional coordinates to complete hyperbolic glass curtain wall nondestructive testing positioning.

The invention provides an aero-engine blade damage detection method based on an improved ultrasonic sparse reconstruction algorithm, and relates to the technical field of aero-engine damage detection positioning, and the method comprises the steps: S1, setting a sensor array and a detection region of a to-be-detected blade, and obtaining an actual measurement damage reflection signal dictionary through a sensor; s2, wave number distribution of a detection area is determined according to a variable thickness structure Lamb wave propagation model, signal reconstruction is carried out, and a theoretical damage reflection signal dictionary is obtained; s3, an aero-engine blade damage detection model is constructed, an improved sparse reconstruction algorithm is adopted to solve and optimize, and damage judgment is carried out; and S4, according to the pixel value distribution condition of the aero-engine blade detection area, generating an aero-engine blade damage detection image, and positioning a damage position. According to the method, the reflected wave amplitude information can be obtained from the array sensor signals, and the reflected wave amplitude information is compared with the reconstructed theoretical reflected signals, so that the damage condition of the aero-engine blade is identified and positioned.

The invention discloses a thin plate residual stress detection method and system based on a thickness resonance mode, and relates to the technical field of stress detection, and the method comprises the steps: obtaining a frequency dispersion curve of a to-be-detected thin plate, and determining the theoretical thickness resonance frequency of the S1 thickness resonance mode according to the frequency dispersion curve; carrying out a stress coefficient calibration experiment on the to-be-tested thin plate, and determining experimental Lamb wave A-scanning data of different stresses; determining a stress-thickness resonance normalized amplitude curve associated with a theoretical thickness resonance frequency according to the resonance wave time domain signal of the A-scan data of each experimental Lamb wave; exciting a Lamb wave signal to a preset excitation point of the thin plate to be measured, and determining corresponding actually measured Lamb wave A-scan data; and determining the residual stress of the to-be-measured thin plate by adopting a stress-thickness resonance normalized amplitude curve based on an actually measured thickness resonance normalized amplitude determined by actually measured Lamb wave A-scanning data. The residual stress of the thin plate is measured by using the characteristic that the amplitude in the S1 thickness resonance mode is gradually increased along with the change of the stress value, and the detection efficiency is improved.

The invention provides an aero-engine blade damage assessment method based on an elastic metamaterial structure, and belongs to the technical field of nondestructive testing, and the method comprises the steps: S1, determining the size of a detection region according to an actual detection demand; s2, determining the size of the metamaterial array; s3, determining the structure of the metamaterial unit; s4, calculating a meta-material unit energy band diagram through a finite element method, and determining an excitation signal frequency; s5, arranging a metamaterial array and a sensor array; and S6, calculating pixel values of all the detection areas by adopting a DAS algorithm, carrying out positioning evaluation on the damage according to the pixel value distribution condition of the detection areas, and generating an image. According to the method, the wave field of the Lamb wave in the variable-thickness blade is controlled by using the elastic metamaterial structure with a special size, so that efficient and accurate positioning and damage identification of various types of damages are realized.

The invention discloses a circumferential Lamb wave sensor array design method for detecting the gas content of a pipeline, and the method comprises the steps: determining the arrangement mode of a circumferential Lamb wave sensor array according to an application scene; establishing a sensor unit model, and determining an incident angle of a sensor transmitting signal; sensitivity testing is carried out on various geometrical parameters of the sensor unit, and geometrical parameters which have great influence on various response characteristics are found out; simulating different conditions of the obtained geometric parameters with relatively large influence on each response characteristic, designing and manufacturing a single sensor unit to obtain proper sensor unit parameters, and completing the design of the sensor unit; and carrying out a vibration test on the designed sensor unit, and if the performance of the sensor unit meets the design requirement, completing the design of the circumferential Lamb wave-like sensor array. The method is simple and practical, and the circumferential Lamb wave sensor array designed by the method can effectively excite the circumferential Lamb waves.

The invention discloses a sheet metal thickness measurement method based on a hybrid system zero group velocity Lamb wave technology, and belongs to the field of nondestructive testing and evaluation.The method comprises the following steps that a hybrid detection system is built, and an out-of-plane displacement vibration signal of a sheet metal is obtained based on the hybrid detection system; converting the out-of-plane displacement vibration signal into a frequency domain signal through fast Fourier transform, and extracting a resonant frequency corresponding to a formant of a zero group velocity Lamb wave mode in the frequency domain signal; calculating a frequency-thickness product based on material parameters of the metal plate; and based on the frequency thickness product, the resonant frequency and a pre-established frequency thickness product-thickness function relationship, performing inversion to obtain a thickness value of the metal plate.

The invention discloses an S0 Lamb wave scattering sound field solving method based on physical constraint enhanced TransUNet. The method comprises the following steps: acquiring a global scattering sound field in an out-of-plane direction after an S0 Lamb wave passes through an irregular defect; performing data processing on the global scattering sound field, and establishing a scattering sound field data set; constructing an S0 Lamb wave scattering sound field prediction model adopting a TransUNet network, dividing a scattering sound field data set into a training set and a test set, and sequentially performing data driving training and physical constraint training on the S0 Lamb wave scattering sound field prediction model by utilizing the training set until training is completed; and inputting thickness distribution of a to-be-tested plate structure containing defects in the test set into the trained S0 Lamb wave scattering sound field prediction model to obtain a predicted scattering sound field with irregular defects, further obtaining a scattering time domain signal and a scattering far field amplitude result, and completing solving of the scattering sound field of the S0 Lamb waves. The invention provides an innovative method for solving the scattering sound field of the irregular defect S0 Lamb wave in the plate.

The invention belongs to the field of train structure health monitoring, and discloses a bogie tube plate structure welding seam detection method and device, and the method comprises the steps: obtaining a Lamb wave signal of a to-be-detected tube plate structure welding seam region, and carrying out the preprocessing, and obtaining a preprocessed Lamb wave signal; on the basis of the preprocessed Lamb wave signal, the position of the weld crack defect of the to-be-detected tube plate structure is predicted through the RAPID tomography technology, and a weld crack defect positioning detection result is obtained; inputting the preprocessed Lamb wave signal sequence into a bogie tube plate structure welding seam detection model to obtain a welding seam crack defect quantitative detection result; outputting a welding seam crack defect positioning detection result and a quantitative detection result as welding seam detection results; according to the invention, the positioning and quantitative detection result of the welding seam damage of the bogie tube plate structure can be quickly and accurately obtained, the high-precision detection requirement of the welding seam of the bogie tube plate structure is met, and the safe operation of a rail transit vehicle is ensured.

The invention discloses an elastomer layer carbon fiber composite material damage positioning method based on elliptic probability fusion, which comprises the following steps: taking different sensors as excitation sources, and collecting Lamb wave signals of a plurality of sensing paths; performing continuous wavelet transform by using a complex Morlet wavelet, and extracting actually measured flight time; introducing a layered wave velocity correction model to optimize an elliptical orbit method, and calculating theoretical flight time and damage probability; introducing a dynamic short-axis optimization model to optimize a probability weighting method, and calculating a damage probability; generating prior distribution by using results calculated by an elliptical orbit method and a probability weighting method; constructing a likelihood function based on the difference between the actually measured flight time and the theoretical flight time; the posterior distribution of the damage position is obtained through the Bayesian theorem in combination with the prior distribution and the likelihood function; sampling the posterior distribution by using an adaptive MCMC algorithm, and generating a probability cloud picture of the damage position; and outputting a final imaging result of the damage position, and positioning the damage position.

The invention provides a stress and temperature detection method based on a multi-angle Lamb wave acoustic elastic effect, and belongs to the technical field of nondestructive detection.The method comprises the steps that a Lamb wave group velocity variation approximate model is built based on the influence of loading stress and temperature on the sample size; based on the acoustic elastic effect, a Lamb wave group velocity variation detection model is constructed; the method comprises the following steps: arranging a preset multi-angle piezoelectric patch based on a preset experimental sample, fixing the experimental sample on a tensile testing machine to obtain a stress experimental system, combining a Lamb wave group velocity variation approximation model to obtain a parameter change condition, verifying a detection model, and performing formula parameter inversion to obtain a stress test result. Solving unknown stress and temperature by using a verified Lamb wave group velocity variation detection model; the method solves the problems that the detection result of the existing stress detection method is greatly fluctuated along with the temperature change, the precision is low, the influence of the stress direction is difficult to accurately calculate, and the temperature influence is neglected.

The invention discloses an ultrasonic guided wave mode separation method based on frequency dispersion compensation and blind source separation, and relates to the field of ultrasonic guided wave mode separation and the field of ultrasonic guided wave nondestructive testing. The method comprises the following steps: extracting frequency dispersion characteristic parameters of a Lamb wave modal from response Lamb waves with known propagation distances through a particle swarm optimization algorithm; performing single-mode frequency dispersion compensation on the two actually measured signals according to the extracted parameters to enable the two signals to return to the same distance; lamb wave signals with the same distance and different superposition conditions are processed through a JADE blind source separation method; and performing sequential compensation and separation on different modes to obtain single-mode signals and realize multi-mode signal separation. According to the invention, the frequency dispersion compensation method and the blind source separation method are combined and applied to the research on the multi-mode Lamb wave signal mode separation problem, and the complex multi-mode Lamb wave signals can be effectively separated.

A method for inverting the thickness of a cased well microring comprises the steps that post-casing scanning imaging logging, CBL / VDL logging and borehole diameter logging are conducted in a depth interval, wave crests and wave troughs of direct bending type Lamb waves received by far and near receivers in 36 directions of post-casing scanning imaging logging of each depth point are extracted, the thickness of a cement annulus is obtained according to the borehole diameter and the outer diameter of a casing, and the thickness of the cement annulus is calculated according to the thickness of the cement annulus. According to the thickness of the annulus and reflected wave arrival time in far and near waveforms recorded by post-casing scanning imaging logging, the shear wave speed of cement is estimated, and according to the shear wave speed and the shear wave speed of the cement, the relation between the thickness of the micro-ring and the attenuation difference value when the micro-ring and the cementing are good is established through an analytical calculation method. And according to the attenuation difference value, the accurate fluid micro-ring thickness of the processing interval can be obtained through inversion. By combining post-casing scanning imaging logging and CBL / VDL logging information, the accurate micro-ring thickness between the casing and the cement interface is accurately calculated, evaluation of the cased well cementation quality and the cement packing capacity is achieved, the defect that the micro-ring cannot be judged only by means of an acoustic amplitude curve is overcome, and the accuracy of well cementation is improved. And important technical support is provided for safe development and production of an oil field.

The invention provides a Lamb wave scattering sound field solving method based on a two-stage Fourier neural operator, and the method comprises the steps: obtaining a scattering sound field of a Lamb wave after the Lamb wave passes through an irregular defect based on the thickness distribution of a plate structure with the irregular defect, and building a data set of the scattering sound field; constructing a prediction model of a Lamb wave scattering sound field; performing first-stage training on the prediction model by using the data set; obtaining a residual sound field by subtracting the real sound field from the obtained first-stage prediction sound field, and carrying out second-stage training on the prediction model; and inputting the thickness distribution of any irregular defect plate structure to be predicted into the first-stage training model, splicing the obtained first-stage prediction sound field and the thickness distribution, inputting the spliced first-stage prediction sound field and the thickness distribution into the second-stage training model to obtain a residual prediction sound field, and adding the first-stage prediction sound field and the residual prediction sound field to obtain a predicted Lamb wave scattering sound field. Through the double-stage labor division mode, the prediction precision and stability are effectively improved.

The invention provides an ultrasonic signal processing method and system and ultrasonic measuring equipment, and relates to the field of ultrasonic data processing.The method comprises the steps that useful ultrasonic signals are extracted from a strong noise background through a phase-locked amplifier, the frequency of a signal to be measured can be recognized, meanwhile, the phase of the signal can be locked, and therefore the frequency of the signal to be measured can be recognized; lamb waves generated on the surface of a medium when multiple groups of ultrasonic sensors work at the same time can be effectively filtered, so that the multiple groups of ultrasonic sensors can be controlled at the same time, and the problem of low processing efficiency caused by time-sharing control is solved.

The invention belongs to the technical field of train safety monitoring, and particularly relates to a damage identification method based on Lamb wave temperature compensation and a related device. The damage identification method comprises the following steps: acquiring a Lamb wave signal and an actual environment temperature of a to-be-detected component; inputting the Lamb wave signal and the actual environment temperature into a pre-constructed Lamb wave temperature compensation network model, and outputting the Lamb wave signal after temperature compensation; and performing damage identification on the to-be-detected component based on the Lamb wave signal after temperature compensation to obtain a damage identification result. After temperature compensation, interference related to temperature is removed, so that damage identification based on the compensated Lamb wave signal is more accurate.

The invention discloses non-contact photoacoustic imaging equipment and method based on leakage Lamb wave detection, in the equipment, a photoacoustic excitation unit excites Lamb waves on the surface of a to-be-detected plate-shaped sample through a photoacoustic effect; the automatic scanning unit drives the to-be-detected plate-shaped sample to move along the scanning direction, so that the two-dimensional full-coverage scanning of the to-be-detected plate-shaped sample by the photoacoustic excitation unit is realized; the signal detection and amplification unit captures the leakage Lamb wave signal and carries out signal amplification; the data acquisition unit acquires the amplified signal in real time and transmits the signal data to the signal processing and imaging end; and the signal processing and imaging end is respectively in communication connection with the photoacoustic excitation unit, the automatic scanning unit and the data acquisition unit, and performs signal acquisition, storage, analysis and imaging processing. The photoacoustic effect excitation technology, the high-sensitivity signal detection technology and the automatic scanning imaging technology are fused, and efficient, accurate and non-contact detection of the surface and subsurface defects of the plate-shaped material is achieved.

The invention discloses an engineering material structure micro-damage detection method based on broadband nonlinear Lamb waves. The engineering material structure micro-damage detection method comprises the steps that an active Lamb wave excitation device and a sensor are arranged on an engineering material structure; driving the active Lamb wave excitation device to generate broadband excitation with a preset bandwidth, and collecting a response signal of the broadband excitation through a sensor; extracting a fundamental wave and a second harmonic from the response signal, the second harmonic representing a nonlinearity of a response of the broadband excitation generated by the micro-damage, the nonlinearity being a contact acoustic nonlinearity caused by the micro-damage under the broadband excitation; and analyzing the response signal by a non-linearity indicator to quantify the non-linearity. According to the method, the micro-crack damage in the aluminum alloy sheet is detected by using the broadband nonlinear Lamb wave, and the method is effective in the aspect of high-sensitivity damage identification. The invention further discloses a corresponding device.

The invention discloses a Lamb wave signal matching pursuit de-noising method and system based on particle swarm optimization, which are applied to the technical field of structural health monitoring signal processing, and the method comprises the steps: collecting a Lamb wave signal of a structure, determining an atomic model according to the Lamb wave signal, and calculating a particle fitness value according to the Lamb wave signal and the atomic model; constructing an objective function based on the particle fitness value, and iteratively updating particle swarm parameters according to the objective function to obtain optimized parameters; and substituting the optimization parameter into the atomic model, performing sparse decomposition on the Lamb wave signal to obtain a decomposition result, and performing de-noising processing on the decomposition result to obtain a de-noised Lamb wave signal. In this way, the particle swarm optimization matching pursuit algorithm is utilized, the optimal parameter set of the atomic model is generated, signal sparse decomposition is achieved, the denoising time is greatly shortened, and therefore the matching pursuit denoising efficiency is improved.

The invention discloses a GDMD Lamb wave structure nondestructive testing method for rapid scanning, and relates to the technical field of Lamb wave structure nondestructive testing, and the method specifically comprises the steps: 1, collecting low signal-to-noise ratio Lamb wave excitation echo data, carrying out the analysis of the collected signal in a frequency domain, and obtaining a GDMD Lamb wave structure nondestructive testing result; the method comprises the following steps of 1, setting a signal decomposition process, 2, setting an initial group delay curve of each Lamb wave mode, and carrying out iteration by adopting a GDMD algorithm, and 3, analyzing each decomposed component mode, extracting a defect echo mode, and further carrying out time delay analysis to determine a defect position. By fitting and compensating dispersion characteristics of different modes, accurate separation of the modes is achieved, even under the conditions that frequencies of the different modes are overlapped and the signal-to-noise ratio is extremely low, defect echoes can be effectively extracted, and dependence of a traditional filtering method on prior statistical characteristics is avoided.

The invention relates to the technical field of structural health monitoring, and particularly provides a damage positioning method based on Lamb wave temperature compensation. The method comprises the following steps: building a structure health monitoring system based on Lamb waves, and grouping sensing paths in a monitoring area; healthy Lamb wave signals at the reference temperature are collected and grouped, reference signals are obtained, and a reference mapping matrix is constructed; the damage Lamb wave signals at the target temperature are collected and grouped, target signals are obtained, and a target mapping matrix is constructed; determining a damage scattering signal at the target temperature; extracting a damage position feature, calculating a path damage probability, and determining a damage position; in the damage positioning process, the method reduces the dependence of Lamb waves on the temperature, realizes the rapid and synchronous positioning of the damage position, and improves the wide applicability.

The invention discloses a plate structure defect Lamb wave full waveform inversion method based on U-Net neural network regularization, and belongs to the field of nondestructive testing. Firstly, a two-dimensional sound wave equation is solved through a frequency domain finite difference method, and analog signals of all receiving points are obtained; the method comprises the following steps: constructing a target function to represent a relative deviation between an analog signal and a sensor actual measurement signal, and converting an inversion problem of defects in a metal plate into an optimization problem of the target function; performing derivation on the target function by using an adjoint state method to obtain a gradient, updating the velocity field along the negative direction of the gradient, and performing regularization processing on the velocity field through a specific coding-decoding structure of the U-Net neural network to suppress noise and artifacts; a frequency serial inversion strategy is adopted, and inversion is carried out step by step from low frequency to high frequency. According to the method, artifacts in the inversion process are suppressed by using the U-Net neural network, dependence of inversion on initial model precision is reduced by using a frequency domain serial inversion strategy, and high-precision inversion of plate structure defects is realized.

The invention provides a round hole damage detection method based on Lamb waves and deep learning. The method comprises the following steps: acquiring an ultrasonic guided wave frequency dispersion curve of a to-be-detected plate; arranging a plurality of acquisition sensors and excitation sensors in the damaged area of the plate; s0 modal Lamb wave excitation signals are symmetrically emitted on the upper surface and the lower surface of the plate through the excitation sensor; receiving a damage scattering signal of the plate through the acquisition sensor; training a neural network model based on the damage scattering signal; and detecting the coordinates and radius of the damage of the circular hole in the plate through the neural network model. According to the method, the linear Lamb wave detection technology is combined with deep learning, features can be extracted and analyzed from complex Lamb wave signals, and damage can be identified and positioned.

The invention relates to a Lamb wave frequency dispersion characteristic sparse reconstruction method based on non-convex optimization, and belongs to the technical field of high-end equipment perception and test.The method comprises the steps that excitation is conducted on a U-shaped suspension arm, and time domain sampling signals at the junction of a U-shaped suspension arm structure are obtained; the time domain sampling signals are preprocessed; constructing a non-convex sparse frequency dispersion curve estimation model based on the preprocessed signal; and converting the non-convex sparse frequency dispersion curve estimation model into an optimization problem, searching a convex preserving condition of a target function, selecting a forward and backward splitting algorithm for solving, obtaining frequency-wave number distribution, and further extracting a frequency dispersion curve. The method solves the problems that a traditional convex regularization method is limited in induction sparse capability and underestimates signal amplitude. Through a non-convex optimization method, the purpose of accurate estimation of the frequency dispersion curve based on fewer measurement points is achieved.

A method and system acoustic logging operations. The method may comprise selecting a transmitter to a casing offset for logging operations, wherein the transmitter is disposed on a logging tool, insonifying at least a part of a casing with the transmitter at an angle of incidence and collecting one or more waveforms with an array of receivers disposed on the logging tool. The method may further comprise identifying one or more wave mode travel times from the one or more waveforms, selecting one or more wavelets from the one or more waveforms, and identifying an attenuation of a lamb wave mode based at least in part on the one or more wave mode travel times and the one or more wavelets.

The invention relates to the technical field of solid plate defect detection, in particular to a solid plate defect detection method based on Lamb wave end face echoes, which comprises the following steps: exciting and receiving wedge piezoelectric transducers are arranged on the same side of a solid plate, exciting and receiving a single-mode Lamb wave signal, and acquiring a multi-path signal comprising a direct wave, a side face echo and a defect reflection echo; by analyzing the difference between a direct wave and a side echo, a defect reflection signal is extracted, and by combining the time difference between the defect reflection signal and the side echo and the Lamb wave propagation speed, a geometric model is established, and the defect position is accurately calculated. By adjusting the position of a transducer, the time difference between a defect reflected wave and a direct wave is constant, a defect echo amplitude value is obtained under the equal propagation condition and compared with a standard test block amplitude value, a mapping relation between the amplitude value and the size is constructed, and accurate quantification of the defect size is achieved.

A device includes a stack of at least two piezoelectric layers configured to propagate a Lamb wave in a mode having an order corresponding to a number of piezoelectric layers of the stack. The stack includes a first piezoelectric layer and a second piezoelectric layer disposed on the first piezoelectric layer. The first piezoelectric layer has a first cut plane orientation, and the second piezoelectric layer has a second cut plane orientation complementary to the first cut plane orientation. The device further includes an interdigitated transducer (IDT) disposed on at least a top surface of the stack or a bottom surface of the stack. In some embodiments, the device is an acoustic resonator. In some embodiments, the device is an acoustic delay line.

The application discloses a manufacturing method of a resonant filter. The method comprises the following steps: manufacturing a first substrate and a resonant filter structure, wherein the resonant filter structure is formed on a first side of the first substrate, the resonant filter structure comprises a bulk acoustic wave resonant structure and a Lamb wave resonant structure, the bulk acoustic wave resonant structure and the Lamb wave resonant structure are electrically connected, the bulk acoustic wave resonant structure comprises a first electrode structure, the Lamb wave resonant structure comprises a second electrode structure, the second electrode structure comprises a first interdigital electrode and a second interdigital electrode, the first electrode structure and the second electrode structure share a same first electrode layer, the first interdigital electrode is electrically connected with the outside, and the second interdigital electrode is electrically connected with the first electrode structure.

The present invention relates to a closed crack imaging device and method based on nonlinear Lamb waves. A measurement system is constructed using a signal generator, a high-voltage amplifier, an excitation probe, a receiving probe, a voltage amplifier, and an oscilloscope. A linear sensor array is established to record the reflection of the Lamb wave on the structure to be measured. The received signal is decomposed using a "db8" wavelet to obtain a harmonic component of the excitation signal at the second harmonic frequency, i.e., the second harmonic, as the nonlinear Lamb wave reflected by the closed crack. The Hilbert transform value of the nonlinear Lamb wave is associated with the pixel value of a given point on the structure to generate a damage image, in which the position of the closed crack is displayed at a position with a higher pixel value. The present invention can promptly detect closed cracks in the structure to be measured, and is of great significance for detecting structural fatigue and corrosion and providing early warning of structural failure and damage.

The invention relates to the technical field of feature compression, in particular to a CFRP wing skin damage feature efficient compression method based on functional principal component analysis. Comprising the following steps that S1, sensor signal data of the CFRP wing skin are obtained, and the sensor signal data comprise Lamb wave signals collected by a plurality of sensors at different damage positions; s2, preprocessing the sensor signal to obtain processed high-dimensional time sequence characteristic data; s3, function type principal component analysis compression processing is carried out on the high-dimensional time sequence feature data, the S3 comprises the following steps: S4, significant time points are screened according to the comprehensive scores, and the S4 comprises the following steps: S5, compressed damage feature data are output, the compressed damage feature data only comprise feature values corresponding to the significant time points, and the feature values only comprise feature values corresponding to the significant time points. The method is used for subsequent damage positioning tasks.