25 results about "Instantaneous phase" patented technology

The application provides a magnetic valve type static synchronous compensator fault diagnosis and state monitoring method and system, relates to the technical field of state monitoring of a compensator, and extracts a dynamic sensitivity characteristic value by calculating a derivative of instantaneous phase angle distortion and combining a nonlinear sensitivity amplification term; extracts a vibration energy characteristic value based on body vibration acceleration and a high-frequency impact penalty term, realizes accurate characterization of electromagnetic and mechanical two-dimensional characteristics, orthogonally maps the above cross-domain characteristics and connects them in time sequence, constructs a two-dimensional time sequence trajectory mapping set, and intuitively represents an electromechanical coupling dynamic evolution process; in combination with a safety boundary, intercepts an out-of-bound trajectory segment, solves a tortuosity and a return parameter, accurately filters power grid transient interference by using a two-channel logic of a phase space topological form, realizes high-sensitivity diagnosis and reliable isolation of a substantial internal fault of the compensator.

The application discloses a high-precision instantaneous frequency inversion method of continuous instantaneous phase, relates to the technical field of data processing, and comprises the following steps: S1, inputting a real signal, processing, and acquiring a frequency spectrum; S2, acquiring an analytic signal based on the frequency spectrum; and S3, using high-precision instantaneous frequency inversion based on polynomial fitting based on the analytic signal to obtain a final polynomial fitting high-precision instantaneous frequency. The application can remove periodic jumps in the instantaneous phase obtained by Hilbert transform and arctangent function, thereby obtaining a continuous instantaneous phase in which the phase periodic jump is eliminated and a monotone increasing continuous instantaneous phase used for high-precision instantaneous frequency inversion.

This application provides a PM-BPSK signal demodulation method, apparatus, and electronic device based on error decoupling. The method includes: acquiring the PM-BPSK signal to be demodulated; performing time-frequency analysis on the PM-BPSK signal using continuous wavelet transform, extracting the wavelet coefficient sequence of the subcarrier neighborhood, and performing circular mapping on its instantaneous phase to obtain the subcarrier phase time-frequency characteristics composed of cosine and sine components; performing decarrier and phase differential processing on the PM-BPSK signal, compensating for the dominant frequency offset based on circular mean, and then orthogonally projecting it with the subcarrier reference signal to obtain phase difference domain phase-locked features; extracting the main channel data from the subcarrier phase time-frequency characteristics and extracting the main channel data from the phase difference domain phase-locked features, and splicing them according to the channel dimension to form a dual-channel fusion feature; inputting the dual-channel fusion feature into a signal demodulation model and outputting a demodulated bit sequence. This application achieves highly robust and high-precision demodulation of PM-BPSK signals, providing a novel technical solution for non-cooperative communication.

This invention discloses a method, system, and device for detecting weak seismic signals based on instantaneous phase analysis, relating to the field of reservoir prediction. The method includes: 1. Inputting a three-dimensional seismic data volume; 2. Extracting the amplitude data of the current seismic trace and recording it as a one-dimensional array; 3. Performing a -90° phase shift on the one-dimensional array to obtain a phase shift array; 4. Performing a time-frequency continuous wavelet transform on the phase shift array to obtain multiple common-frequency amplitude arrays; 5. Performing a Hilbert transform on each common-frequency amplitude array to obtain the corresponding instantaneous phase array; 6. Calculating the second derivative of each instantaneous phase array with respect to the time variable n to obtain a three-dimensional data volume indicating weak signals at the current seismic trace's common frequency; 7. Changing the seismic trace and repeating steps 2-6 to obtain multiple three-dimensional data volumes indicating weak signals at the common frequency; 8. Selecting the optimal weak signal indicator data volume. This invention can effectively find the three-dimensional data volume indicating weak signals, improving the accuracy of detection.

The invention relates to the field of material mechanical property testing, and provides an in-service material property detection system based on an indentation method, comprising: an excitation module for applying a composite dynamic excitation load to a pressure head when the spherical pressure head is pressed into a to-be-detected material; the signal acquisition module is used for synchronously acquiring a dynamic load signal and a dynamic displacement signal in the pressing-in process of the pressing head; the data processing module is used for calculating an instantaneous phase difference according to the dynamic load signal and the dynamic displacement signal, constructing an evolution curve of the instantaneous phase difference along with the change of the pressure depth, and extracting a first characteristic depth, a second characteristic depth and a phase hardening index from the evolution curve; and the performance resolving module is used for calculating the elastic modulus and the yield strength of the to-be-tested material according to the first characteristic depth, the second characteristic depth, the phase hardening index and the mapping relation model. According to the method, the plastic hardening constitutive relation of the material does not need to be preset, rapid and micro-damage detection of the tensile property of the material can be achieved through single-time micron-order pressing-in, and the method is particularly suitable for field evaluation of in-service equipment.

This invention relates to the field of rescue communication technology, and discloses a remote interaction system and method for mine disaster scenarios. The method receives and separates mixed multipath signals in real time, extracts the instantaneous phase difference and signal amplitude envelope between the main signal and the reflected signal, assesses the risk of instantaneous phase collapse, and generates an early warning. Subsequently, a feedback controller generates a pre-interference signal following the principle of minimum disturbance based on the early warning information, and injects it into the transmission link through a fast modulator. This performs microsecond-level adversarial adjustment on the main signal, actively disrupting the coherent cancellation conditions that could lead to complete communication interruption. This invention achieves proactive defense against zero-signal black holes, effectively preventing rescue robots from losing control due to instantaneous disconnection of commands and video data without interrupting the communication link, significantly improving the reliability of communication and operational safety in mine disaster rescue.

This invention relates to the field of bridge inspection technology, specifically to a bridge displacement detection method and system based on phase information. The method includes: acquiring acceleration vibration response signals from at least two measuring points on the bridge; filtering out noise and drift using a bandpass filter; performing a Hilbert transform on the filtered signals to obtain an analytical signal and extracting the instantaneous phase sequence; calculating the cross-correlation function of the instantaneous phase sequences of adjacent measuring points and determining the phase difference time sequence through the maximum value; correlating the phase difference time sequence with the distance between measuring points to convert it into a relative displacement time sequence; integrating the relative displacement time sequence twice to obtain a cumulative relative displacement value; using this cumulative value as a benchmark, and combining it with the absolute displacement calculation results of each measuring point to infer the overall bridge displacement; and performing wavelet noise reduction on the overall displacement to obtain the final detection result. This method can improve the accuracy and stability of displacement detection and is suitable for displacement monitoring of bridge structures.

The application provides an adaptive order spectrum analysis method for wind generator transmission chain fault diagnosis, and relates to the field of rotating machinery state monitoring and fault diagnosis. The method comprises the following steps: step S1, data acquisition and preprocessing, obtaining vibration acceleration signals and rotation speed pulse signals; step S2, performing adaptive instantaneous phase calculation on the rotation speed pulse signals to obtain an accurate instantaneous phase curve; step S3, based on the accurate instantaneous phase curve, performing angular domain resampling on the vibration acceleration signals to obtain an angular domain stationary signal sequence; step S4, performing autocorrelation analysis on the angular domain stationary signal sequence to adaptively select and generate an optimal window function sequence; and step S5, using the optimal window function sequence to perform order spectrum calculation on the angular domain stationary signal sequence to output the order spectrum. The adaptive order spectrum analysis method for wind generator transmission chain fault diagnosis is used, and the accuracy and robustness of vibration signal order analysis are enhanced.

The application discloses a processing system and method based on a high-speed adaptive digital filter, relates to the technical field of filter control, and receives a phase error signal of a front-stage phase discriminator, accumulatively calculates the phase error signal, and generates a frequency deviation accumulation value; proportionally amplifies the phase error signal to obtain an instantaneous phase adjustment value; combines the frequency deviation accumulation value and the instantaneous phase adjustment value to obtain a combined signal; secondarily accumulatively operates the combined signal to obtain an initial phase control code; judges the confidence degree according to the phase error signal, filters instantaneous noise, dynamically adjusts the total system gain by slidingly intercepting the effective bit width of the initial phase control code according to the judgment result, and finally outputs an optimized phase control code, so that the jitter of recovered data and clock is improved.

This invention relates to the field of fault diagnosis and monitoring technology, and particularly to a method and system for diagnosing equipment faults. The method includes: acquiring electrical signals from both high-voltage and low-voltage sides of a transformer, extracting the fundamental frequency, instantaneous phase, and amplitude envelope; real-time monitoring of phase fluctuation variance, and when exceeding a preset threshold, extracting a complete sequence containing the steady-state segment before the disturbance and the attenuation segment after the disturbance; constructing a virtual zero-phase reference and performing differential preprocessing on the sequence; performing second-order rate-of-change operation on the processed sequence to obtain phase acceleration characteristics, and combining this with the amplitude envelope for nonlinear modulation mapping to construct instantaneous phase-change energy flow characteristics; classifying internal winding deformation faults and external power grid disturbances by calculating the time-frequency correlation index of the energy flow characteristics on both sides; extracting the sub-band energy distribution components of the internal fault signal, and using a fault fingerprint database to match and identify winding deformation patterns. This invention significantly improves the sensitivity of transformer winding micro-deformation diagnosis and the anti-interference capability of online monitoring.

This invention discloses a robust demodulation method for railway frequency-shift signals based on multi-source feature fusion, comprising the following steps: acquiring frequency-shift signals from railway track circuits and performing digital sampling; performing sliding window framing processing and ChirpZ transform on the original time-domain sampled signal sequence; calculating the instantaneous phase sequence of the analytical signal and performing dewinding and time differentiation processing; calculating the frequency residual signal based on the instantaneous frequency trajectory sequence and performing consistency threshold elimination processing; downsampling the effective frequency residual signal sequence and performing frequency domain coarse positioning operation; filtering the modulation code standard codebook in conjunction with the low-frequency modulation center frequency interval; performing energy calculation using Goertzel operation with codebook constraints; performing energy fusion processing on the candidate frequency energy feature sequences, and outputting the demodulation result of the railway frequency-shift signal. This invention employs multi-source feature fusion to achieve robust demodulation of railway frequency-shift signals.

This invention discloses a multi-echo detection method for a multi-beam echo sounding system with combined amplitude and phase features. The pre-detection step includes: segmenting the beam output signal; for each unit to be detected, obtaining an amplitude detection threshold using the unit average constant false alarm rate (CFAR) method based on background noise estimation from the reference units on the left and right sides; extracting the instantaneous phase from the signals of each receiving channel using Hilbert transform, and obtaining the phase coherence factor between each receiving channel from statistical characteristics; dynamically adjusting the amplitude detection threshold as an adaptive weight to construct a detection threshold for combined amplitude and phase features; initializing weighting coefficients based on echo intensity differences, and dynamically optimizing them in conjunction with the intensity value of the phase coherence factor to obtain an adaptive weighted amplitude and phase joint detection threshold; merging sampling points exceeding the adaptive weighted amplitude and phase joint detection threshold, removing interfering targets, and identifying and extracting multiple independent effective target intervals.

This application relates to the technical field of communication, and in particular to a method for suppressing and adjusting phase noise of an RF chip. The method includes: synchronously acquiring the original output signal of the RF chip and a reference signal after isolation processing; detecting the instantaneous phase difference between the two signals and performing time-domain smoothing; calculating the noise coupling coefficient at the current operating frequency based on the smoothed phase offset; decomposing the original output signal into in-phase and quadrature components; constructing a dynamic cancellation factor based on the real-time updated noise coupling coefficient; adjusting the two components using the dynamic cancellation factor and then reconstructing the signal to obtain the reconstructed RF signal; and detecting the final phase error between the gain RF signal and the reference signal, and dynamically adjusting it by comparing it with a preset phase difference threshold. This application has the advantage of solving the problems of insufficient suppression accuracy and lag in dynamic response caused by the mismatch between the fixed model and dynamic coupling law of traditional algorithms.

This invention discloses a method, system, and platform for deconstructing and separating P-waves, S-waves, and R-waves in tunnel blasting vibration based on multi-source information fusion. The solution achieves accurate identification and separation of P-waves, S-waves, and R-waves in tunnel blasting vibration by fusing particle motion trajectory analysis, polarization ellipsoid parameter calculation, and instantaneous phase difference analysis. This overcomes the technical bottleneck of traditional methods, which can only identify first-arrival waves but cannot effectively separate surface waves. Based on the constructed normalized dominant factor function, the dominant roles of different wave types in the propagation space are clearly defined, providing a direct scientific basis for targeted vibration reduction and protection in different sections of tunnel engineering, significantly improving the accuracy of blasting vibration safety assessment and the effectiveness of engineering protection.

The application belongs to the technical field of seismic interference signal processing, and is a seismic interference signal enhancement method and system based on an adaptive stacking strategy, which comprises the following steps: converting a seismic interference time-domain signal to a frequency domain, and calculating a cross-correlation function data segment between each station pair; screening the cross-correlation function data segment; transforming the screened multi-channel cross-correlation function data segment to a frequency domain, and constructing a cross-spectrum matrix at each frequency point; designing an adaptive filter according to the cross-spectrum matrix; filtering the cross-correlation function data segment by using the adaptive filter to obtain a filtered signal; performing time-frequency decomposition on the filtered signal, and extracting a time transient phase; constructing a time-frequency domain coherence weight based on the transient phase information; and weighting and stacking the filtered signal by using the time-frequency domain coherence weight to obtain a stacked time-frequency spectrum. The application can effectively reduce noise interference in the signal, and make the signal waveform more stable and regular.

The application discloses a method, device, equipment, medium and product for determining a stratum overlap line. The method comprises: performing interpretative processing on seismic data volume to obtain frequency-raised seismic data volume; extracting wave number attributes on the frequency-raised seismic data volume with a pre-determined stratum top and bottom interface as a constraint condition, and identifying a stratum overlap line on a plane based on the wave number attributes; and obtaining a final stratum overlap line based on the stratum overlap line on the plane and in combination with an instant phase seismic profile obtained by pre-conversion. The application effectively solves the technical problems of large workload, low recognition efficiency and low recognition accuracy of the stratum overlap line caused by artificial interpretation of overlap points in the prior art, and effectively improves the recognition efficiency and accuracy of the stratum overlap line on the basis of automatic recognition of the stratum overlap line.

This invention relates to the field of flying car navigation and docking technology, and discloses a precise docking guidance method for a split-type flying car, comprising: acquiring rotor speed signals, extracting modulation components, tracking their instantaneous phase, determining obstruction phase, and adjusting mass weights; predicting signal interruption intervals, locking integer ambiguity, and maintaining ambiguity; when the modulation depth exceeds a threshold, fusing inertial navigation and visual pose, and performing phase alignment training; mapping the ratio of instantaneous phase to rotor speed to blade angle position, and increasing the safety domain radius when a pre-set danger angle window is available at this angle position; when both the sliding window standard deviation and random component energy exceed the threshold, determining an antenna mutation and suspending docking. This invention utilizes the periodic obstruction pattern of GNSS signals caused by rotor rotation, transforming passive response into active prediction, and achieving all-weather, highly robust centimeter-level precise docking.

The small current grounding system single-phase grounding fault line selection method solves the problem of how to improve the line selection accuracy, and belongs to the field of small current fault line selection. The two power frequency period data before the fault are used as the reference, and the data after the fault are compared by difference, so that the inherent interference such as load imbalance, harmonic background and line parameter asymmetry during normal operation of the system is eliminated, and the fault characteristics are more prominent. Secondly, four criteria (differential steady-state phase, wavelet packet differential energy spectrum, differential instantaneous phase consistency and envelope weighted cumulative polarity) are used to describe the fault from different physical aspects. Each criterion independently outputs a 0~1 confidence level, forming a multi-dimensional complementary verification mechanism. Even if a certain criterion fails under certain conditions, other criteria can still provide reliable evidence. Finally, the prior probability and the four criterion likelihood values corrected by dynamic weight are fused through the Bayes formula to obtain the posterior probability of each branch and bus grounding, and the high and low threshold values are used for hierarchical decision-making.

The application provides a magnetic suspension rotor fundamental frequency vibration signal real-time monitoring method and system, and belongs to the technical field of magnetic suspension bearings; the method comprises the following steps: collecting an original displacement signal; using an adaptive wave trap to pre-process the displacement signal; selecting an initial voltage signal according to the real-time rotating speed frequency of the magnetic suspension rotor V c , and inputting the pre-processed displacement signal into a phase-locked loop unit; the phase-locked loop unit is used for tracking the fundamental frequency component in the displacement signal which is synchronous with the rotating speed, and outputs an instantaneous frequency value and an instantaneous phase value which are synchronous with the fundamental frequency component, and two reference signals; a synchronous demodulator is configured, and based on the instantaneous frequency value, the instantaneous phase value, the two reference signals and the original displacement signal output by the phase-locked loop unit, the real-time amplitude of the fundamental frequency vibration component is extracted; and a rotor unbalanced vibration state vector including the real-time amplitude of the fundamental frequency vibration component, the real-time instantaneous phase value and the real-time instantaneous frequency value is output.

This invention discloses a method for detecting damage points in the outer insulation layer of buried steel pipelines and identifying target pipelines based on signal modulation. The method includes: a signal transmission step, where a low-frequency digital signal is used to phase-modulate a high-frequency carrier wave to generate a modulated signal, which is then applied to the target pipeline; a signal reception step, where a response signal is received from the target pipeline or its surrounding environment; and a signal processing and judgment step, where the instantaneous phase information is extracted by coherent demodulation of the response signal, and this information is compared with a phase-symbol mapping relationship preset at the transmitting end to determine the logical direction of the current, thereby locating the damage point in the outer insulation layer and identifying the target pipeline. This invention effectively resists power frequency interference, reduces power consumption, and improves detection accuracy.

The application discloses a kind of offshore small target detection methods based on multi-domain multi-feature under high sea condition.Firstly, the characteristics of sea clutter and target signal in time domain and frequency domain are analyzed using the relevant information of existing sea clutter data.Under the condition of low signal-to-clutter ratio of sea clutter data, three key features are extracted combining with fractal knowledge, which are fractional order Riemann-Liouville (RL) integral domain H index, instantaneous phase entropy and fractional Fourier transform (Fractional Fourier Transform, FRFT) domain relative peak height, wherein the H index is calculated using Detrended Fluctuation Analysis (DFA) method.Finally, the small target detection is realized using the bidirectional time series modeling advantage of Bi-GRU (Bidirectional Gated Recurrent Unit) model, and the effectiveness of the model is verified through multi-dimensional performance indicators.The application makes full use of the physical properties of sea clutter, combines fractional integral, entropy and fractal method, realizes sea surface target detection under the condition of low signal-to-clutter ratio, and improves the target detection accuracy;At the same time, the Bi-GRU model is efficient and has strong information capturing ability, can handle complex and variable sea clutter environment, has wide applicability and practical value.

The application discloses a Lamb wave defect characterization method based on weighted phase mismatch analysis, and according to the characteristics that Lamb wave instantaneous phase is relatively sensitive to defect geometric parameter change and exists certain correlation, weighted phase mismatch analysis is carried out on Lamb wave detection signals in the presence or absence of defects, and a weighted phase cumulative error characteristic index is proposed. The influence of Lamb wave dispersion characteristics and sensor diameter factors on detection signals is comprehensively considered to determine the time window for phase mismatch analysis. The instantaneous phase is weighted according to the wave packet amplitude weight and the wave packet width weight, the contribution of different wave packets to the weighted phase cumulative error is balanced, and the defect characterization accuracy is improved. The method carries out weighted phase mismatch analysis on the Lamb wave defect scattering signal through wave packet extraction and wave packet weighting, determines the corresponding relationship between the Lamb wave instantaneous phase characteristic parameter and the defect geometric parameter, and realizes the characterization of the defect depth and width.

This invention relates to the field of signal measurement technology, specifically disclosing a method for measuring the power and spectral characteristics of pulse-modulated signals. The method involves parallel acquisition of pulse-modulated signals to extract amplitude envelope data and instantaneous phase data; numerical analysis of the instantaneous phase data to obtain the carrier frequency deviation, which is then compared with a preset frequency point set to generate a carrier frequency matching flag; detection of the pulse rising edge arrival time based on the amplitude envelope data, combined with the carrier frequency matching flag, to output a frequency-selective trigger signal; dynamic adjustment of the center frequency and gating window of the frequency domain measurement based on this trigger signal, and acquisition of frequency domain spectral data; and time-series correlation of the carrier frequency value, time domain envelope parameters, and frequency domain spectral data to construct a multi-dimensional correlation data chain. This invention achieves precise screening and measurement of specific frequency points in a frequency-hopping pulse sequence, solving the problems of gating mismatch and time-frequency correlation breakage in frequency-agile scenarios.

This invention relates to a coherent calculation method for gradient structure tensors based on Gaussian differential operators. It includes: preprocessing a 3D seismic data volume; performing a Hilbert transform on the processed data volume and calculating the instantaneous phase, using the calculated instantaneous phase information as input data for constructing the structure tensor; using multi-scale Gaussian differential operators to calculate the gradients in the traverse, trace, and time directions to construct the gradient structure tensor; using Gaussian smoothing in the approximate fault and stratigraphic directions to enhance the lateral discontinuities in the gradient structure tensor corresponding to fault and stratigraphic features; performing matrix eigenvalue decomposition; and finally, performing different coherence solutions. This invention's gradient structure tensor coherent calculation method based on Hilbert transform and Gaussian smoothing can highlight narrow channels and small-impact faults; by utilizing the structure tensor, it reduces the sensitivity of coherence algorithms to noise, reduces signal clutter and strong noise interference at the intersections of channels and small-scale faults, and improves the accuracy of coherence identification.