33 results about "Non linear response" patented technology

This application provides a calibration method, an infrared imaging device, and a storage medium for an infrared detector. The method includes: acquiring the original response values ​​of each pixel of the infrared detector; determining the current response value interval of each pixel based on the original response values ​​and the boundaries of multiple pre-calibrated response value intervals of the infrared detector, wherein multiple response value intervals are pre-calibrated based on the characteristics of the response curves of each integration channel of the infrared detector; acquiring the correction coefficient corresponding to the current response value interval of each pixel based on the pre-calibrated correction coefficients corresponding to each pixel in different response value intervals; correcting the original response values ​​of each pixel based on the correction coefficients; and outputting the corrected response values ​​of each pixel. This method effectively improves the non-uniformity correction effect of the image, especially in scenes with large temperature differences, and can significantly suppress horizontal stripe residue caused by nonlinear response.

This invention belongs to the fields of rock mechanics, geological engineering, and geophysical exploration technology. Specifically, it discloses a method and system for constructing a mapping relationship between acoustic wave velocity and surrounding rock stress. The method includes: performing uniaxial graded loading on a standard sandstone sample and simultaneously measuring the P-wave velocity and S-wave velocity under each stress level; then fitting a linear mapping relationship between the P-wave / S-wave velocity ratio and the axial stress of the surrounding rock; introducing joint correction coefficients and water content correction coefficients to optimize the linear mapping relationship and constructing an acoustoelastic model; and using the acoustoelastic model and field-measured wave velocity data to invert the stress state of the actual surrounding rock, thus completing the construction of the acoustic wave velocity-surround rock stress mapping relationship. This invention solves the problems of traditional wave velocity-stress relationships, which, when describing the nonlinear response of rocks at different stress stages, are not sensitive enough to subtle stress changes and lack a complete, high-precision, and interference-resistant stress inversion calculation method, making them difficult to directly apply to complex actual engineering environments.

A surface acoustic wave resonator comprising a multilayer piezoelectric substrate including a layer of piezoelectric material, and interdigital transducer (IDT) electrodes disposed on the layer of piezoelectric material, the IDT electrodes including a first and second bus bars, a first plurality of electrode fingers extending from the first bus bar toward the second bus bar, and a second plurality of electrode fingers extending from the second bus bar toward the first bus bar and interleaved with the first plurality of electrode fingers in a central region of the resonator, gap regions defined between tips of the first plurality of electrode fingers and the second bus bar and between tips of the second plurality of electrode fingers and the first bus bar, regions of piezoelectric material forming the layer of piezoelectric material in the gap regions having a lesser permittivity and / or piezoelectricity than the piezoelectric material in the central regions.

This invention discloses a system and method for monitoring the hydrogen damage state of metals, comprising: a hydrogen charging device for electrochemically charging a plate-shaped sample of the same metal as the target metal that has not undergone hydrogen damage; a hydrogen permeation measuring device for converting hydrogen atoms permeating into the sample into hydrogen ions during the hydrogen charging process and measuring the current generated by the free electrons produced during the conversion process in real time to obtain a hydrogen permeation curve; and an ultrasonic measuring device for emitting ultrasonic guided waves to the sample during the hydrogen charging process and receiving the nonlinear response signal generated by the guided waves exciting ultrasonic waves inside the sample, and then performing cepstral analysis on the received signal to obtain the nonlinear coefficients at different time periods. Based on this, combined with the hydrogen permeation curve, the correlation between the nonlinear response signal and the degree of hydrogen damage is determined, and then the nonlinear response signal of the target metal is substituted into the correlation to obtain the hydrogen damage state inside the metal. This invention can monitor and evaluate the degree of hydrogen damage inside metals in real time.

This invention relates to the field of ecological environment assessment and spatial simulation technology, and discloses a method for grassland degradation ecological risk assessment based on a multi-agent model. The method includes a spatial risk assessment module that acquires multi-source basic data and divides it into discrete grid cells, calculating a landscape ecological risk index to generate spatial distribution results; a driving mechanism identification module that extracts driving factors to construct an improved regression tree model and outputs nonlinear response rules; and a multi-agent dynamic simulation module that constructs grassland environmental entities based on grid cells, injects risk indices and response rules, generates herder behavior entities, and inputs management policy parameters. Iterative calculations are performed using these two types of entities to simulate the dynamic process of herder relocation and resource consumption. After the iteration reaches the target year, the grid landscape attributes are reclassified according to the remaining grass cover, and the data is re-input into the assessment module for aggregation calculations, outputting a spatial distribution map to complete the evolution assessment. This invention can intuitively test the intervention effect of management policies on grassland degradation.

A disruptive improvement in reactors is disclosed. The operating principal of this invention is to create an abrupt change, in the stored potential energy, Wm, in magnetic flux (77), via at least one localized increase (87) and at least one localized decrease (82), of the magnetic field intensity, within the boundaries of a flux loop. Since current flow through a reactor can not change abruptly, a paradox is created. To counteract mentioned paradox, at least some magnetic flux (77a) components, may be forced to jump a non- magnetic-section (88), dependent on the power level, of the frequency, components in mentioned flux. The disclosed arrangement may cause a non-linear response, resulting in advantages over a prior art reactor, (with a linear response); including: reduce reactance, reduced apparent power and increased true power factor, at the fundamental power frequency, f(fundamental). A new circuit symbol (70), for the invention, is suggested.

This invention relates to the field of structural impact dynamics and numerical calculation technology, specifically disclosing a numerical prediction method for the nonlinear response of a variable cross-section beam under multi-point time-series strong impact. The method includes: S1, determining the parameters of the variable cross-section beam and establishing an equivalent multi-degree-of-freedom model; S2, determining the multiple loading conditions for the multi-point time-series strong impact; S3, calculating the stiffness changes of each element under large deformation effects; S4, calculating the initial plastic limit displacement difference at both ends of each element; S5, calculating the stiffness matrix affected by geometric nonlinearity at the current moment; S6, calculating the stiffness matrix affected by material nonlinearity at the current moment; S7, calculating the total internal force at the current moment; S8, calculating the acceleration at the current moment; and S9, calculating the velocity and displacement at the current moment. This invention achieves numerical prediction of the nonlinear response of a variable cross-section beam under multi-point time-series strong impact by establishing an equivalent multi-degree-of-freedom model, combining geometric and material nonlinearity to correct the stiffness matrix, and solving the equations of motion.

The present application relates to the technical field of data processing, more particularly, to a mine machinery fault analysis method and system to solve the technical problems of false positives and inability to distinguish between normal dynamic impact and fault impact due to nonlinear response in the prior art. The method comprises: collecting time series data of the driving part of the mine machinery and performing feature extraction, the extracted features including current mean, vibration energy, vibration peak factor and current fluctuation rate; normalizing the vibration energy; decoupling the mechanical vibration impact to distinguish between normal coal falling and mechanical failure; and weighting and fusing the static impedance anomaly factor and dynamic impact decoupling index to generate a real-time health score of the equipment. The present application can monitor gradual wear and tear and capture sudden failures through multi-dimensional fusion diagnosis, thereby improving the intelligent operation and maintenance level of mine equipment.

Embodiments described herein relate to improved devices and techniques for improving the calibration of laboratory analytical instruments, especially those whose detector response generally exhibit a non-linear response curve. Some embodiments relate to applying a relatively high voltage at the central pin of a charged aerosol detector's (CAD's) ion trap. By applying a high voltage, relatively more small particles (which generally constitute background reagents) are driven into the ion trap's outer wall, thus improving the CAD's signal-to-noise ratio. Other embodiments, which may be used separately or together with the increased voltage, use calibration standards data and the best-fitting model from a variety of fitting models (which are not limited to a power law function) to transform the raw non-linear data points to linear data points. Consequently, a best linear fit calibration line can be obtained for each individual analyte using the transformation model most appropriate to that analyte.

The invention relates to an identification method having improved spatial resolution, comprising at least one reading device and at least one tag, wherein the at least one tag is coded by means of a plurality of notches, and wherein under appropriate excitation the at least one tag supplies both a linear response and a non-linear response, the method comprising the steps of: identifying whether one or more tags are located at a location, identifying which of the tags is located at the location.The invention further relates to a system for the method according to the invention, comprising a reading device and at least one tag, wherein the reading device is configured to emit high-frequency radiation in a first frequency band in order to excite one or more tags, wherein the reading device is configured to vary the emitted radio-frequency radiation, and to receive radiation from at least one tag, and to determine a forward transmission parameter and / or an input reflection parameter.

A method for robotically controlling an endoscope comprises: navigating an elongate shaft in a patient body, the elongate shaft including a tip at a distal end, articulating the tip in a first direction with a first pull wire coupled to a dual-wire pulley, reversing articulation of the tip to a second direction with a second pull wire coupled to the dual-wire pulley based on a nonlinear response region of a kinematic model, determining an end point of the nonlinear response region, and, when articulation of the tip in the second direction reaches the end point, articulating the tip based on a linear response region.

The present application relates to the technical field of multi-objective optimization, solves the technical problem that the existing unified mechanism modeling strategy ignores the geometric nonlinear characteristics of locally weak rigid parts of an assembly, and particularly relates to a fixture holding force optimization method based on multi-level analysis of an aircraft rigid-flexible hybrid structure, which comprises performing linear and nonlinear response analysis on finite element models of rigid skeleton parts and weak rigid thin-walled parts, establishing a linear mapping model and a nonlinear explicit mapping model, combining the two models to obtain a deformation stress analysis model, obtaining a static force analysis model based on the deformation stress analysis model, constructing a fixture multi-point holding force optimization model based on the static force analysis model, and using an improved particle swarm algorithm to solve the optimal holding force. The present application can achieve multi-objective control of the deformation and stress distribution of an assembly, make the product meet multi-objective requirements of geometric accuracy and structural performance, and improve the balance of the stress distribution of the assembly structure and the geometric accuracy of key areas.

This invention provides a method for calculating the horizontal nonlinear response of large-diameter piles in layered foundations considering end resistance, comprising: S1, establishing a calculation model for the horizontal nonlinear response of large-diameter piles in layered foundations considering end resistance; S2, dividing the pile-side soil into several layers along the depth direction, and equating each layer of pile-side soil with a nonlinear horizontal soil spring; S3, simplifying the pile-end soil into an end shear elastoplastic spring describing the shear force-displacement relationship and an end bending elastoplastic spring describing the bending moment-rotation relationship; S4, determining the secant stiffness of the pile-side soil spring at each depth; S5, discretizing the governing equations using the finite difference method; S6, establishing the horizontal load, vertical load, and bending moment constraints at the pile top, as well as the boundary conditions for shear force and bending moment at the pile end; S7, solving for the nonlinear responses such as horizontal displacement, bending moment, and shear force at each node of the pile body using an iterative calculation method. This invention can be used for pile-soil interaction analysis and design optimization of horizontally loaded large-diameter foundations.

Embodiments described herein relate to improved devices and techniques for improving the calibration of laboratory analytical instruments, especially those whose detector response generally exhibit a non-linear response curve. Some embodiments relate to applying a relatively high voltage at the central pin of a charged aerosol detector's (CAD's) ion trap. By applying a high voltage, relatively more small particles (which generally constitute background reagents) are driven into the ion trap's outer wall, thus improving the CAD's signal-to-noise ratio. Other embodiments, which may be used separately or together with the increased voltage, use calibration standards data and the best-fitting model from a variety of fitting models (which are not limited to a power law function) to transform the raw non-linear data points to linear data points. Consequently, a best linear fit calibration line can be obtained for each individual analyte using the transformation model most appropriate to that analyte.

This invention provides a hydrogen pipeline damage state detection system and method based on nonlinear ultrasound. The system's nonlinear ultrasonic detection device includes a signal excitation module and a waveform receiving module. The signal excitation module uses pulsed ultrasonic signals to ultrasonically excite the test sample, achieving non-contact ultrasonic propagation to acquire the vibration signal of the detection response. The waveform receiving module analyzes the nonlinear response waveform information. The feature parameter calculation module is configured to calculate state feature parameters based on the nonlinear response waveform information. The evaluation matrix formulation module establishes hydrogen damage identification criteria based on the correlation between state feature parameters and hydrogen damage status. Furthermore, the hydrogen damage assessment module comprehensively evaluates and provides early warning of the pipeline's hydrogen damage status based on the hydrogen damage identification matrix combined with the state feature parameters of the detection response. This approach overcomes the limitations of existing technologies in terms of application scenarios and accuracy, providing a comprehensive and reliable evaluation of hydrogen damage status.

The present application relates to the technical field of casting billet quality evaluation, and particularly relates to a quality evaluation method and system for a casting billet forming process, which comprises the following steps: emitting an ultrasonic pulse to a detection area of the casting billet, receiving a full-matrix echo signal, and the full-matrix echo signal comprising a primary echo signal and a second harmonic signal; performing variational mode decomposition on the primary echo signal to separate a grain boundary scattering signal and a linear defect echo signal generated by a coarse grain structure of the casting billet; constructing a scattering texture atlas based on the grain boundary scattering signal and constructing a linear feature defect set based on the linear defect echo signal; performing pulse inversion processing on the second harmonic signal to construct a nonlinear response atlas; performing spatial registration on the scattering texture atlas, the linear feature defect set and the nonlinear response atlas to construct a multi-dimensional fusion feature vector; and obtaining a quality evaluation result of the casting billet forming based on the spatial distribution characteristics of the multi-dimensional fusion feature vector in the detection area. The present application effectively improves the accuracy of quality evaluation of the casting billet forming process.

This invention relates to a device and method for detecting dental microcracks based on Rayleigh wave transmission attenuation and nonlinear response, belonging to the fields of biomedical engineering and nondestructive testing technology. The device includes a flexible dental crown detection device composed of two sets of flexible semi-circular probe assemblies. An ultrasonic transceiver array is embedded in the inner wall of each set of flexible semi-circular probe assemblies. The ultrasonic transceiver array is composed of several micro piezoelectric transducer elements arranged circumferentially. The front end face of the micro piezoelectric transducer elements faces the enamel surface, and the opposite end face is provided with an air backing layer, which can adaptively conform to the complex curved surface of the tooth and realize early qualitative identification and quantitative assessment of the depth of microcracks.

This invention relates to the field of billet quality evaluation technology, and particularly to a method and system for quality evaluation of the billet forming process. The method includes: emitting ultrasonic pulses to the area to be inspected in the billet and receiving a full-matrix echo signal, which includes a first-order echo signal and a second-harmonic signal; performing variational mode decomposition on the first-order echo signal to separate grain boundary scattering signals and linear defect echo signals generated by the coarse-grained structure of the billet; constructing a scattering texture map based on the grain boundary scattering signal and a linear feature defect set based on the linear defect echo signal; performing pulse inversion processing on the second-harmonic signal to construct a nonlinear response map; spatially registering the scattering texture map, the linear defect feature set, and the nonlinear response map to construct a multi-dimensional fused feature vector; and obtaining the quality evaluation result of the billet forming process based on the spatial distribution characteristics of the multi-dimensional fused feature vector within the area to be inspected. This invention effectively improves the accuracy of quality evaluation in the billet forming process.

This invention relates to a method for measuring shale porosity based on nuclear magnetic resonance (NMR). The method introduces exponential factors into key controlling factors such as gas saturation, pyrite content, and TOC content ratio. This allows the influence of these factors on NMR porosity deviations to be adjusted according to sample conditions, thus more reasonably characterizing the nonlinear response under the combined effects of multiple factors in complex shale reservoirs. This improves the method's adaptability and correction stability in shale samples with low porosity, strong heterogeneity, and complex mineral compositions. The method effectively improves the consistency and measurement accuracy between NMR-measured shale porosity and reference porosity, providing a more stable and reliable parameter basis for shale reservoir evaluation and reserve prediction.

This invention provides a method for calculating the axial compression bearing capacity of short welded box-section columns in curved steel structures based on dual nonlinear analysis of beam-column theory and geometric materials, belonging to the field of bearing capacity calculation for curved steel components. It addresses the problems of existing steel structure bearing capacity calculation methods, such as material waste, poor economy, complex modeling, high calculation costs, long calculation times, and inconvenience for parametric research and summarizing design principles. Starting from the basic governing equations of beam-column theory, this invention introduces precise initial geometry, a bilinear elastoplastic material constitutive model, and uses the Galerkin weighted residual method for spatial discretization. Combined with the Newton-Raphson iterative method and arc length control technology, it achieves nonlinear response tracking of the entire process of the component from loading onwards, through material yielding, to reaching its ultimate bearing capacity.

An adaptive nonlinear scalar calibration method for triaxial magnetic sensors is disclosed, relating to the fields of magnetic field measurement and sensor calibration technology. This invention addresses the nonlinear response error problem of existing triaxial magnetic sensors in wide-range, especially weak magnetic field environments. By constructing a polynomial function of the magnetic sensor's scaling factor with respect to its output, a nonlinear error model is established. By jointly considering orthogonal errors and null terms, the model's physical interpretability is maintained while improving its ability to fit complex error characteristics. To address the difficulty in balancing fitting accuracy and overfitting risk when selecting the polynomial order, this method designs an adaptive order selection mechanism based on validation set residual evaluation to automatically determine the optimal model structure, thereby improving the generalization ability of the calibration results. This invention is used for high-precision calibration in weak magnetic field environments.

The invention relates to an identification method with improved spatial resolution comprising at least one reading device (L) and at least one tag (T1,...), wherein the at least one tag (T1...) is encoded by means of a plurality of notches, and wherein the at least one tag (T1...) provides both a linear and a non-linear response upon appropriate excitation, the method comprising the steps: • Identifying (100) whether one or more tags (T1...) are located at a location, • Identifying (200) which of the tags is located at the location. The invention further relates to a system for the method according to the invention comprising a reading device (L) and at least one tag (T1,...), wherein the reading device (L) is configured to emit high-frequency radiation in a first frequency band to identify one or more tags (T1...) to stimulate, wherein the reading device (L) is configured to vary the emitted high-frequency radiation, and to receive radiation from at least one day (T1,...), and to determine a forward transmission parameter or an input reflection parameter.

The application discloses a neural network equalization method and device, equipment, storage medium and program product, and relates to the technical field of optical communication. The method comprises the following steps: acquiring a received signal sequence on a high-speed optical interconnection link; inputting the received signal sequence into a neural network equalizer for equalization processing to obtain an equalized output signal sequence; wherein the neural network equalizer comprises at least one backbone network composed of a one-dimensional convolution network and at least one learnable nonlinear activation layer; the nonlinear activation layer and the one-dimensional convolution network are alternately cascaded; the nonlinear activation layer is composed of a plurality of base functions through linear combination of learnable weight coefficients and is used for approximating nonlinear response on the high-speed optical interconnection link. The neural network equalization method can significantly improve the compensation capability for nonlinear distortion such as bandwidth limitation, modulation soft saturation and mode coupling under the premise of maintaining full one-dimensional convolution streamable inference, so as to reduce the bit error rate.

The application discloses a kind of based on multi-source data fusion expiratory nitric oxide detection method, system and equipment.Belong to medical detection technical field.It includes: using phased multitask learning framework, utilize standard gas data training model to master the basic nonlinear response of sensor and environmental cross sensitivity;Then, the clinical expiratory real sample data are fused, and the model is consolidated physical law while learning the ability to suppress complex expiratory matrix effect and individual difference interference by multitask learning.Training completed lightweight artificial intelligence correction model is deployed in embedded microprocessor, and can carry out integrated intelligent correction to real-time acquisition sensor signal, environmental temperature and humidity and expiratory flow.The application breaks through the performance limit of commercial sensor, realizes the sub-ppb level ultra-sensitive detection of expiratory nitric oxide and high clinical consistency output, and has strong environmental robustness, provides low-cost, high-precision and reliable solution for primary medical care and family health monitoring.

The present application relates to the field of tire multi-working condition dynamics parameter detection technology, and more particularly to a tire multi-working condition dynamics parameter detection method and system, comprising collecting original signals inside the rim, wheel core acceleration signals and external six-component force data; establishing a reference angle domain coordinate to generate a synchronous analysis matrix; extracting a prior centrifugal load characteristic quantity and fitting a centrifugal bias baseline sequence; extracting a high-frequency nonlinear response component, a stick-slip high-frequency vibration energy ratio and a non-contact area segment signal variance; using the nonlinear increment change of the tire wall tension to reconstruct the order of rheological calculus and compensate for the amount of intermodulation distortion, to generate a net response signal sequence; constructing a time-varying reliability attenuation flow form constraint inversion weight to solve and generate tire body structure dynamic stiffness characteristic parameters. The present application solves the problem of nonlinear response intermodulation distortion caused by centrifugal bias drift and transient impact, and improves the inversion accuracy of dynamics parameters under complex excitation.

The present application relates to the technical field of electronic component testing using electrical methods to investigate or analyze the microstructure and physical properties of materials, and discloses an online testing and analysis method for the physical properties of electronic component materials, comprising: constructing a composite excitation signal in which a main carrier voltage and a perturbation voltage are linearly superimposed, applying the signal to the electronic component to be tested, and collecting the response current; extracting the intermodulation current amplitude at the intermodulation frequency point in the frequency spectrum excluding the linear response interval, calculating the material nonlinear response coefficient in combination with the excitation amplitude, and comparing the coefficient with a preset degradation threshold to determine whether the material is qualified or not, wherein the present application uses the physical mechanism of the intermodulation frequency generated by the micro nonlinear polarization of the material, extracts the intermodulation component that cannot be generated by the linear contact resistance, realizes physical level isolation of external contact noise in the frequency domain, and solves the problem that the traditional linear impedance test cannot distinguish between contact resistance fluctuations and material intrinsic aging.

The present application belongs to the technical field of data processing, and specifically relates to a security monitoring data compression transmission method and system based on edge intelligent analysis, to solve the technical problems that the linear adjustment mechanism has response lag and is easy to lose packets in security burst scenarios, and that the QP value jump causes picture quality oscillation. The method comprises the following steps: collecting the occupied byte number of the current network sending buffer of the edge computing device, and the macro block motion vector of the current frame and the previous frame of the video encoder front end; calculating a scene data potential energy index representing the data burst pressure in a short time in the future; constructing a nonlinear response gain using an exponential function, the nonlinear response gain being nonlinearly changed with the scene data potential energy index; calculating and updating the quantization parameter of the current frame, and performing video data compression transmission based on the updated quantization parameter. The present application guarantees the transmission quality and system stability of security monitoring data.