21 results about "Instantaneous amplitude" patented technology

This application relates to a method, apparatus, device, medium, and product for under-range protection of a line. The method includes: upon detecting a fault in the protected line, determining the zero-mode current component corresponding to the voltage and current data of the protected line; decomposing the zero-mode current component to obtain two preset sub-frequency band signals, and determining the instantaneous amplitude and instantaneous phase corresponding to each preset sub-frequency band signal; determining the actual time difference between the two preset sub-frequency band signals based on their respective instantaneous amplitudes; and determining the theoretical time difference between the two preset sub-frequency band signals based on their respective instantaneous phases; and performing protection processing on the under-range protection area of ​​the protected line based on the actual time difference and the theoretical time difference. This application can promptly perform under-range protection actions and improve the accuracy of under-range protection actions.

A kind of DAS signal adaptive demodulation method and system based on FPGA, wherein, the method comprises: obtaining the in-phase component signal and quadrature component signal of DAS signal;When the address of write pointer occurs incremental change, the historical in-phase component signal and historical quadrature component signal in the preset history sampling window are read;The instantaneous amplitude energy of each time stamp is calculated, and the instantaneous amplitude energy sequence is obtained;The amplitude energy mean and variance eigenvalue of DAS signal are calculated;Adaptive gain factor is generated;The in-phase component signal and quadrature component signal are compensated and iteratively demodulated by adaptive gain, and the phase output value and demodulation module length value are obtained;The module length deviation amount of demodulation module length value and preset standard module length is calculated, and when the cumulative value is greater than preset locking threshold, the correction coefficient is calculated according to the current amplitude energy mean and module length deviation amount;The storage value of index address is updated based on correction coefficient.The application can improve the reliability of DAS system.

Embodiments of the present application relate to a stratum Q value determination method, device and equipment based on CMP gathers and a storage medium. The method determines the first two-way reflection time corresponding to each non-zero offset seismic trace in any two non-zero offset seismic traces in the CMP gathers and the instantaneous amplitude spectrum at the first two-way reflection time. The first two-way reflection time and the instantaneous amplitude spectrum corresponding to each non-zero offset seismic trace are brought into a preset attenuation model to obtain a corresponding attenuation equation. A stratum equivalent Q value equation about non-zero offset is established according to the attenuation equations of the two non-zero offset seismic traces. The above steps are repeatedly executed to obtain an over-determined equation set. The over-determined equation set is solved to obtain stratum equivalent Q values at different non-zero offsets. The stratum equivalent Q values at different non-zero offsets and the first two-way reflection time are fitted to determine the stratum equivalent Q corresponding to the zero offset seismic trace in the CMP gathers. The accuracy of the stratum Q value determination is improved.

This invention belongs to the field of data analysis technology for structural health monitoring in civil engineering, and particularly relates to a method for identifying time-varying cable forces in bridges based on nonlinear frequency-modal distribution. The method includes: firstly, extracting the free decay vibration response of bridge cables; iteratively decomposing the signal using the Hilbert vibration decomposition method to obtain the time-varying frequency; modeling the time-varying frequency based on an autoregressive moving average model, eliminating the endpoint effect of the time-varying frequency through predictive extension; using this as the initial input, further accurately extracting the instantaneous frequency, instantaneous amplitude, and time-varying damping ratio of each component using an adaptive frequency-modal decomposition algorithm; and outputting a stable time-varying cable force curve after calculating the foundation cable force. This invention has the advantages of good modal aliasing suppression and thorough elimination of endpoint effects, and is suitable for time-varying cable force monitoring scenarios for various cable-stayed bridges, such as cable-stayed bridges and suspension bridges.

The application discloses a bidirectional Mamba-based YOLOv12 ground penetrating radar underground disease identification method and device, equipment and medium, and relates to the technical field of road disease identification. The method comprises the following steps: constructing a four-channel physical perception tensor containing original signals, instantaneous amplitudes, phases and frequencies by processing ground penetrating radar gray-scale B-Scan data; designing an improved MPS-YOLOv12 network, expanding the input layer to 4 channels, decoupling physical features through four differentiated projection heads, modeling global dependence through bidirectional Mamba scanning, and finally outputting disease detection results through a multi-scale detection head by using the residual fusion mechanism of amplitude gating and phase compensation. By fully mining the physical information of GPR signals and using bidirectional Mamba, the disease identification accuracy is improved, and the false detection rate under complex geological background is effectively reduced.

This invention discloses a method and system for fault location of charging piles in microgrids based on HHT and an improved BP neural network, belonging to the field of microgrid fault diagnosis technology. The method includes: acquiring transient current signals from each charging pile node; obtaining intrinsic mode function components (IMFs) through empirical mode decomposition; selecting the first IMF component and performing Hilbert transform to calculate its instantaneous amplitude vector sum as a single-dimensional fault feature; inputting the normalized feature into an improved BP neural network for fault location; and introducing a momentum term in the weight update of the improved BP neural network to optimize the training process. This invention solves the technical problems of insufficient feature extraction capability for non-stationary fault signals and slow and unstable convergence of the location model in traditional methods, achieving fast, accurate, and adaptive fault location of charging piles in microgrids. Simulation verification shows a location accuracy of 100%, significantly improving the safety and reliability of the microgrid system.

This invention discloses a high-precision ranging method and system for time-refined DC back-traveling waves, belonging to the field of power system fault location technology. The method includes: acquiring signals and performing mode transformation to extract first-mode voltage and current signals; establishing a time-domain expression for the back-traveling wave; performing wavelet denoising on the signals to extract the first-mode DC voltage signal; reconstructing the time scale in the time-refined model; performing variational mode decomposition and Hilbert transform to obtain instantaneous amplitude and instantaneous energy sequences, constructing an energy kurtosis index, detecting sudden increases in energy kurtosis, and identifying the arrival time of the first DC back-traveling wavefront generated by the fault; calculating the wavefront arrival time difference based on the arrival times of the first DC back-traveling wavefront measured at both ends of the DC line, and determining the location of the fault point by combining the DC line length and traveling wave propagation characteristics. This invention has low dependence on traveling wave propagation parameters, provides reliable ranging results, and is applicable to deep-sea offshore wind power flexible DC systems.

This application provides a crack identification method, apparatus, device, and medium, relating to the field of crack identification technology. The method includes: processing acquired raw array waveform data to extract direct-to-Stoneley wave signals, obtaining a direct-to-Stoneley wave waveform; performing interference cancellation processing on the direct-to-Stoneley wave waveform to obtain target waveform data; extracting instantaneous amplitude and instantaneous frequency from the target waveform data; improving the signal-to-noise ratio of the instantaneous frequency to obtain an optimized instantaneous frequency; weighting the optimized instantaneous frequency using the instantaneous amplitude to determine a target instantaneous frequency; and performing crack identification based on the target instantaneous frequency to obtain a crack identification result corresponding to the raw array waveform data. This application effectively solves the problem of reduced crack identification accuracy due to interference in existing methods.

The application relates to the technical field of radar electronic countermeasure, and discloses a radar jamming device and method based on a polarization dimension. The device comprises a quadrature dual-polarized antenna unit, a microwave unit comprising a digital control attenuator, a signal generation unit comprising a digital module and a master control module, and a power amplifier unit. The application adopts an amplitude-phase independent decoupling modulation architecture: in the detection stage, the polarization state of the input signal is judged by measuring the instantaneous amplitude-phase characteristics of the H-path and V-path components after frequency conversion, and using a multi-point summation average and variance threshold limiting algorithm; in the synthesis stage, the digital module internally performs digital phase modulation, and synchronously outputs a control code to adjust the digital control attenuator of the microwave link to perform hardware amplitude modulation, so that an arbitrary polarized signal is finally synthesized in space. The application realizes accurate countermeasures against the polarization dimension of the radar, can effectively cope with sidelobe cancellation and other anti-jamming mechanisms, and has the advantages of high integration, strong flexibility, high recognition accuracy and the like.

The application provides a power quality interharmonic detection method and device based on an electric energy meter, and relates to the technical field of power quality monitoring. The method comprises the following steps: acquiring continuous sampling data of a power grid signal, and preprocessing to obtain a complex frequency spectrum; adopting improved IEC grouping and adaptive threshold filtering to filter out false spectral lines, and generating a spectral component list; constructing a state space model and initializing a linear Kalman filter; using the linear Kalman filter to output optimal estimates of instantaneous amplitude, instantaneous phase and instantaneous frequency through prediction and update, and reconstructing the estimated value of the power grid signal; calculating the instantaneous estimation error according to the current sampling point data and the estimated value of the power grid signal; judging whether the power grid spectrum has a mutation according to the instantaneous estimation error and the maximum allowable error, and returning to step S1 to detect again based on the latest continuous sampling data when the mutation occurs. The scheme can improve the accuracy and adaptability of interharmonic detection.

This application provides a method, device, and storage medium for testing magnetic scales, relating to the field of measuring instrument testing and calibration technology. The method includes: responding to a testing command, controlling a turntable to drive a two-dimensional translation stage to rotate at a uniform speed, causing the two-dimensional translation stage to rotate the circular magnetic scale under test at a uniform speed, and acquiring the original magnetic induction signal obtained by the TMR reading head reading the circular magnetic scale under test at the target testing position; acquiring an instantaneous amplitude modulation signal and an instantaneous frequency modulation signal based on the original magnetic induction signal; acquiring the intrinsic amplitude signal based on the instantaneous amplitude modulation signal, and determining the magnetic pole characteristic characterization parameters of the circular magnetic scale under test by combining the instantaneous frequency modulation signal. This method, by decoupling the original magnetic induction signal, achieves independent quantification and tracing of different types of error sources and quantifies the core performance indicators of the circular magnetic scale from the intrinsic amplitude signal level, thereby improving the measurement reliability and performance evaluation accuracy of the circular magnetic scale.

The application discloses a kind of multi-radar radiation source signal identification method based on improved VMD-RNN, belong to radar radiation source identification technical field.The application includes the following steps: composite signal variation modal decomposition;Signal is decomposed into several components by improved VMD method;Time-frequency processing of component signal;Residual neural network is constructed.The center frequency and instantaneous amplitude, instantaneous phase, instantaneous frequency of component are replaced by two-dimensional time-frequency diagram as the input of deep learning, reduce the dimension of data processing, while providing more comprehensive time domain, frequency domain, time-frequency domain feature information, indirectly reduce the number of required samples, improve efficiency;The application decomposes signal into several components with certain bandwidth and center frequency by VMD, respectively carries out deep learning, obtains the deep feature of each component, and the mutual influence between multiple radar radiation source signals is reduced to the minimum.

The application belongs to the technical field of cross of graph signal processing and complex network analysis, and particularly relates to an expected graph Hilbert transform method and system for uncertain graph topology, which comprises the following steps: 1. constructing a graph topology probability space to form a graph topology probability distribution model; 2. calculating an expected shift operator; 3. performing characteristic decomposition on the expected shift operator to obtain eigenvalues and eigenvectors, forming an expected graph Fourier basis, designing a Hilbert mask function according to the type of the graph, performing expected graph Hilbert transform to obtain an EGHT result; 4. constructing an expected graph analytic signal according to the original graph signal and the EGHT result; and 5. extracting a robust feature, calculating an instantaneous amplitude and an instantaneous phase. The method overcomes phase jump and amplitude distortion caused by spectrum basis instability, and improves the robustness and feature fidelity of the analytic signal construction and extraction method.

To provide an apparatus for generating a signal having any instantaneous frequency change and instantaneous amplitude change. 【Solution means】The first signal generation device 300 is a plurality of constants or time-varying variables (k = 1 to n, n is an integer of 2 or more) applied to a plurality of amplitude-modulated single-tone waves represented by the formula (1) (amplitude (A k ), a storage unit for storing setting data of a plurality of frequencies (f k = ω k / 2π) and a plurality of phases (φ k ), and a single-tone wave generation unit for generating a plurality of amplitude-modulated single-tone waves to which a plurality of amplitudes (A k ), a plurality of frequencies (f k = ω k / 2π) and a plurality of phases (φ k ) are respectively applied, and an output generation unit for synthesizing a plurality of single-tone waves and generating an output signal s(t) of the formula (2) having an initial phase φ0, an instantaneous amplitude change A(t) and an instantaneous frequency change f(t). TIFF2026087442000153.tif12140 TIFF2026087442000154.tif16146

This invention discloses a method and device for intelligent road surface crack identification based on image processing and radar information fusion. The method includes: precisely and synchronously acquiring visible light image data and ground-penetrating radar (GPR) echo data of the road surface through a synchronization mechanism triggered by physical distance; performing time-frequency analysis on the acquired radar echo data to extract multi-dimensional physical attributes, including instantaneous amplitude and instantaneous frequency, and generating enhanced radar features; constructing a two-stream deep learning model, wherein the image processing branch uses a spatial state Mamba module to capture long-range dependent features of cracks; utilizing the subsurface structural anomaly features extracted by the GPR branch to generate a spatial guidance map, modulating and enhancing image features through cross-modal guided fusion; and finally, outputting pixel-level crack identification results through feature decoding of the fused data. This invention achieves joint perception and deep intelligent fusion of surface morphology and subsurface structure, effectively improving the identification accuracy of subtle and hidden cracks.

The application discloses a power harmonic and interharmonic analysis and detection method based on parameter optimization MSST and HT, and belongs to the technical field of power system harmonic detection. The application comprises the following steps: collecting original power signals and performing multiple synchronous compression transformation with different iteration numbers; calculating time-frequency entropy under different iteration numbers, and determining the optimal iteration number according to the change of the time-frequency entropy; performing multiple synchronous compression transformation and mode decomposition on the signals by using the optimal iteration number, and obtaining a series of inherent mode function components; and performing Hilbert transformation on each component, and extracting instantaneous frequency and instantaneous amplitude. The application realizes adaptive optimization of the iteration number of MSST by introducing information entropy as an evaluation index, solves the problem that the iteration number needs to be set according to experience in the traditional method, reduces the calculation cost while ensuring the time-frequency energy concentration degree, and improves the harmonic detection precision.

This invention discloses a dynamic monitoring system and method for underground multi-component pollutants based on tomographic data inversion, belonging to the field of environmental monitoring and environmental information processing technology. The method includes the following steps: acquiring underground electrical variation records at a continuous time scale, constructing an electrical variation time series, and simultaneously extracting the instantaneous amplitude fluctuation trajectory of the electrical variation time series. Based on the instantaneous amplitude fluctuation trajectory, short-term fluctuation segments are marked in the electrical variation time series to characterize the rhythm of abnormal disturbances. This invention effectively distinguishes between instantaneous disturbances and pollution migration rhythms through short-term fluctuation segment marking, time-period stretching, and continuous variation trajectory construction. Combined with a directional consistency comparison mechanism, it improves the stability and accuracy of migration trends, avoiding misjudgments caused by short-period electromagnetic disturbances. Through inverse time stretching and amplitude fading processing, migration expressions are rearranged to eliminate trend bias, making pollution diffusion prediction results closer to reality and enhancing the accuracy of dynamic monitoring and the reliability of decision-making.

The application discloses a high-resistance fault detection method, device and equipment based on arc current change trend, wherein the detection method first collects a feeder zero sequence current signal by using a signal detection device; secondly, the zero sequence current signal is processed by using a variational mode decomposition to obtain a component after filtering high-frequency modes; thirdly, the current instantaneous amplitude of the filtered component is extracted by using a windowed fast Fourier transform; then, the change trend of the arc current is quantitatively estimated by using a nonlinear least square method; finally, the high-resistance fault is detected by using the sign of the coefficient in the nonlinear function. The application uses the nonlinear least square method to quantitatively estimate the overall change trend of the arc current. Meanwhile, the irregularity and randomness of the arc current can be weakened. This stage can improve the robustness of the proposed HIF detection method.

The present invention provides a device for generating signals having arbitrary instantaneous frequency and instantaneous amplitude changes. [Solution] The first signal generator 300 applies multiple constants or time-varying variables, namely amplitude A, to multiple amplitude-modulated single-tone waves represented by the following formula (1). k , multiple frequencies (f k =ω k ( / 2π) and multiple phase φ k The system includes a storage unit 301 for storing setting data, a single-tone wave generation unit 302 for generating multiple amplitude-modulated single-tone waves to which the multiple amplitudes, multiple frequencies, and multiple phases are applied, and an output generation unit 303 for synthesizing the multiple single-tone waves and generating an output signal s(t) according to the following formula (2) having an initial phase φ0, instantaneous amplitude change A(t), and instantaneous frequency change f(t). TIFF2026087411000153.tif12140 TIFF2026087411000154.tif16146

The application discloses a structural damage identification method based on improved adaptive noise complete ensemble empirical mode decomposition and a storage medium, and obtains the dynamic response of a structure through continuous vibration test; the power spectral density of each mode is calculated based on improved adaptive noise complete ensemble empirical mode decomposition and a frequency spectrum feature inspection method; the power spectral density secondary peak suppression algorithm is used to overcome the influence of the mode aliasing phenomenon in the decomposition result on the classification accuracy; the K-means++ is used for frequency domain clustering of the processed mode components, and a damage sub-signal is extracted; the instantaneous amplitude, phase and other features are calculated, a composite energy factor is constructed, and the existence and position of the structural damage are automatically judged according to the PELT algorithm. The PSD secondary peak suppression frequency domain clustering algorithm based on the improved adaptive noise complete ensemble empirical mode decomposition is proposed, the damage feature sub-signal is extracted, the robust composite energy damage identification factor is constructed, and the existence and position of the damage are visualized and automatically warned through the PELT.

Technique and mechanism for processing polyphonic audio signals. Processing includes filtering the audio signals to generate a set of narrow band signals, estimating an instantaneous magnitude and frequency associated with the narrow band signals and driving a bank of sinusoidal oscillators based on the instantaneous magnitude and frequency to create an output audio signal.