127 results about "Instantaneous phase" patented technology

The invention relates to an electroencephalogram classification method fusing phase amplitude coupling characteristics, and belongs to the field of electroencephalogram signal processing and deep learning. The method comprises the following steps: collecting electroencephalogram signal data, and carrying out channel selection and preprocessing; performing Hilbert transform on the EEG signal of each channel, and extracting instantaneous phase and amplitude information; calculating the coupling degree of phases and amplitudes between different frequency bands, and generating a phase-amplitude coupling characteristic matrix for representing the cross-frequency coupling strength; and the PAC features and the original EEG time sequence features are jointly input into an improved Transform classification network, a self-attention mechanism is utilized to effectively model a time sequence dependence and frequency coupling relationship, multi-scale time domain, frequency domain and space features are extracted, fusion calculation is performed, and a final classification result is output. According to the method, the dependence of a traditional electroencephalogram classification method on a single frequency spectrum feature is overcome, the modeling capability of an electroencephalogram activity cross-frequency cooperation mechanism is enhanced, and the accuracy and generalization performance of electroencephalogram classification are improved.

The invention discloses an abnormity monitoring method and system for a digital pressure transmitter, and relates to the technical field of transmitter monitoring, and the method comprises the following steps: obtaining an original pressure response sequence in a high-frequency pressure pulsation environment, and synchronously recording a sampling clock pulse sequence in an acquisition process, establishing double-track mapping based on the original pressure response sequence and the sampling clock pulse sequence, and forming an input condition with a unified time baseline; and performing instantaneous phase difference extraction on the double-track mapping on the unified time base line. Through double-track mapping, phase difference extraction and nonlinear cross spectrum reconstruction, the stroboscopic aliasing risk is quantified and recognition in advance is realized, and the sensitivity and accuracy of abnormal monitoring of the digital pressure transmitter are improved; meanwhile, the multi-scale risk amplification and reversible time-frequency rearrangement technology is combined, covered high-frequency components are separated and recovered, a real pressure pulsation curve is output after dynamic correction, continuous and stable monitoring is guaranteed, and pressure measurement reliability and operation safety are improved.

The invention relates to the technical field of data monitoring, and discloses an intelligent power distribution monitoring system and method, and the method comprises the steps: collecting current and voltage signals of a preset point location, and building a signal data link; preprocessing the signal data chain based on a windowing function to obtain a windowed data chain, and determining an overlapping proportion according to the length of the windowed data chain to perform window division to obtain a plurality of frequency spectrums; the spectrums are compared in pairs, and whether abnormal early warning is carried out or not is judged according to the comparison result; when early warning is judged, processing each frequency spectrum based on Hilbert transform to obtain an instantaneous envelope and an instantaneous phase, and obtaining a phase difference value of two harmonics with the same frequency in all the frequency spectrums; and comparing the phase difference value and the spectrum similarity as feature data with a historical early warning data set for early warning. According to the method, the problems that a traditional method depends on a fixed threshold value and is slow in response and high in false alarm rate are solved, and the identification accuracy and response timeliness of dynamic harmonic abnormity are improved.

The invention provides a real-time electroencephalogram phase locking closed-loop stimulation method and system, and relates to the technical field of electroencephalogram signal processing. The method comprises the following steps: firstly, acquiring a cortex electrical activity signal and establishing a baseline statistic, then carrying out causal band-pass filtering on the signal, and carrying out sampling and holding substitution in a stimulation artifact window; setting an amplitude and a duration threshold based on the baseline, and performing phase judgment after conditions are met; estimating an average period through zero crossing and calculating an instantaneous phase; outputting a trigger instruction when the three-point crossing judgment is established; and outputting stimulation under the constraint of charge balance and a safety limit value, setting a minimum prohibition period and link abnormity suppression, and recording a hit rate and a response rate for quality evaluation. According to the method, through causal phase estimation, artifact isolation and a schedulable triggering mechanism, the high hit rate of non-stationary signal phase locking stimulation is achieved, and the safety and effectiveness of a stimulation system are ensured.

The invention relates to the technical field of electrical engineering and intelligent fault diagnosis, and discloses a water pump motor fault diagnosis method and system based on current harmonic characteristics, and the method comprises the steps: collecting stator current, rotating speed and load signals; generating an alpha-beta current component through Clark transformation, constructing an analytic signal, extracting an instantaneous phase, and calculating an instantaneous frequency; a mapping relation is established in combination with the rotating speed, and the current signals are resampled to eliminate frequency dispersion; obtaining a high-resolution harmonic energy distribution diagram by adopting multi-scale synchronous compression wavelet transform; and extracting an energy concentration ratio, a peak offset and a bandwidth expansion coefficient in the characteristic frequency band, inputting the energy concentration ratio, the peak offset and the bandwidth expansion coefficient into the pre-trained multi-layer perceptron classifier, and outputting a fault type. According to the method, through high-precision time-frequency focusing and multi-dimensional feature fusion, the fault recognition accuracy and robustness are remarkably improved, and online diagnosis of multiple typical faults can be achieved only through current signals.

The invention relates to an HPLC and HRF dual-mode communication fault detection method and system. The method comprises the following steps that original receiving signals of an HPLC channel and an HRF channel of an HPLC and HRF dual-mode communication module are collected and preprocessed; a composite coherence analysis model is constructed, and the composite coherence of the two channels is calculated through the preprocessed original receiving signals; constructing a composite channel difference model, and calculating the channel difference of the two channels through the preprocessed original received signals; constructing an instantaneous phase difference measurement model, and calculating the instantaneous phase difference of the two channels through the preprocessed original receiving signals; and integrating the composite coherence, the channel difference and the instantaneous phase difference of the two channels to obtain a fault index of the HPLC and HRF dual-mode communication module, presetting a fault index threshold, and when the fault index reaches the preset fault index threshold, judging that the HPLC and HRF dual-mode communication module has a fault.

The invention provides a cast-in-place pile quality online monitoring method and system based on an ultrasonic array, and the method comprises the steps: transmitting and receiving ultrasonic waves through the ultrasonic array arranged in a cast-in-place pile, and obtaining a multi-channel sound wave signal; performing generalized S transformation processing on the multichannel sound wave signals to obtain a time-frequency matrix, and calculating a cross correlation coefficient between each channel signal and the defect-free reference signal; an amplitude matrix and an instantaneous phase gradient matrix are calculated based on the time-frequency matrix, neighborhood amplitude energy and a phase consistency factor are fused in a time-frequency domain, and a defect energy indication diagram of the pile body section is generated; calculating the energy entropy of the defect energy indication diagram in a full frequency band; and extracting an actually measured energy arrival time sequence, comparing the actually measured energy arrival time sequence with a theoretical arrival time sequence to construct a space distortion vector, and setting a threshold value by combining energy entropy to judge defects.

The invention discloses a real-time wave number space resampling method and system for SS-OCT, and relates to the technical field of signal processing, and the method comprises the steps: synchronously collecting a K clock signal and an OCT interference signal, and carrying out the filtering preprocessing of the signals; carrying out Hilbert transformation on the preprocessed K clock signal, constructing an analysis signal, extracting an instantaneous phase, and forming an instantaneous phase sequence; using a preset ideal equal wave number interval phase sequence as a target phase sequence, matching the target phase sequence with the instantaneous phase sequence, calculating a corresponding position index of each target phase in the instantaneous phase sequence, and obtaining a remapping sampling point index; and processing the preprocessed OCT interference signal by using an SINC interpolation method according to the remapping sampling point index to obtain an OCT signal which is subjected to resampling and has equal wave number intervals. According to the invention, the SINC interpolation algorithm is utilized to complete resampling in real time and with high precision in the data acquisition stage, and the requirement of high-speed real-time imaging is met.

The invention discloses a short burst SOQPSK carrier synchronization method based on an RPT-Net network. The short burst SOQPSK carrier synchronization method comprises the following steps: preprocessing a signal, and merging time domain data of the signal and quartic data into input data; a multi-level residual convolutional network is adopted to extract cross-symbol local phase features, fine phase changes in SOQPSK signals are captured through layer-by-layer stacked convolution operation, the gradient degradation problem of a deep network is relieved in combination with a residual connection mechanism, and the local characterization capacity for phase jump and frequency offset disturbance is enhanced; through a phase perception position coding module, the time domain signal is converted into a complex number form, an instantaneous phase is extracted, orthogonal basis coding is constructed to represent phase change, and deep fusion with position coding is carried out; a Transform coding layer is introduced, a multi-head self-attention mechanism is utilized to capture a long-distance symbol dependency relationship, global phase consistency constraint is optimized, long-term influence of frequency offset on signals is captured, and time sequence error propagation is effectively inhibited.

The invention provides an adaptive road horizon tracking method and system based on multi-modal feature fusion, and the method comprises the steps: S1, obtaining an original B-scan data matrix, carrying out the standardization and preprocessing, constructing an instantaneous phase cosine matrix, and building a feature matrix; s2, setting a horizon search window in the depth direction, converting horizon tracking into optimal path search by constructing a polarity constrained graph model, and solving an optimal path as a candidate horizon line of the horizon search window; s3, setting a horizon verification window in the depth direction, performing physical rationality test on the candidate horizon lines, and meanwhile, eliminating pseudo horizon which does not conform to engineering technical parameters by adopting a dual-threshold filtering strategy; and S4, arranging the layer line information passing verification, and outputting a layer detail table. According to the method, random noise can be effectively suppressed, horizon sensitive features can be effectively enhanced, the technical effects of reducing the horizon fracture misjudgment rate and improving the recognition accuracy are achieved, and full-coverage type adaptive road horizon tracking is achieved.

The invention belongs to the technical field of rotating machinery signal processing, and discloses a multi-shafting rotating machinery rotating speed estimation method based on a displacement vibration signal, and the method comprises the steps: collecting the displacement vibration signal, and carrying out the short-time Fourier transform to obtain a time-frequency distribution matrix; screening out a safety harmonic set of each shafting based on the estimated rotating speed range; calculating a definition evaluation value of each safety harmonic wave and selecting an optimal harmonic wave as a target tracking harmonic wave; constructing a cost function fusing amplitude and frequency abrupt change penalty, and performing ridge line tracking in the local time-frequency matrix after noise reduction to obtain a preliminary estimation time-frequency curve; and constructing a demodulation phase function based on the curve, performing generalized demodulation and narrow-band filtering on an original signal, extracting a pure harmonic component, and finally reconstructing a final rotating speed curve of a corresponding shaft system through instantaneous phase differential. According to the method, high-precision and anti-interference decoupling and estimation of the rotating speed of each shafting under a strong interference background are realized.

The invention relates to the technical field of automatic optical detection, and discloses a product appearance defect identification method and system based on multi-modal imaging, and the method comprises the steps: obtaining interference imaging, polarization imaging and scattering imaging data sequences at multiple moments, extracting an instantaneous phase and an instantaneous frequency at each moment by utilizing Hilbert transform, and generating a time sequence phase-frequency characteristic image set; processing interference fringe data at each moment based on a phase unwrapping algorithm, and outputting a time sequence phase evolution matrix; learning an interlayer phase propagation rule by using a space-time diagram convolutional network, and generating hierarchical defect evolution representation; and predicting a spatio-temporal evolution trajectory of the defect through four-dimensional gradient calculation, and outputting a four-dimensional morphological parameter and a development trend of the defect. Through a deep coupling mechanism of a multi-scale phase evolution kernel function and a space-time diagram network, the limitation that spatial distribution and time evolution of phase information cannot be processed at the same time in a traditional method is overcome.

In at least one embodiment, a method for measuring a distance between a first communication device including a first local oscillator and a second communication device including a second local oscillator includes unwarping N phase values ​​to produce N unwarped phase values. N is an integer greater than 1. Each of the N phase values ​​indicates an instantaneous phase of a received signal. The method includes averaging the N unwarped phase values ​​to produce an average phase value. The method also includes warping the average phase value to produce a final phase measurement of the first local oscillator relative to the second local oscillator.

The present invention belongs to the field of radar signal processing and analysis technology and discloses a method for estimating the number of code elements within a pulse of a phase-coded radar signal. For an input baseband digital signal, the instantaneous frequency is calculated and processed, and the number of code elements corresponding to the peak amplitude correlation value is searched to obtain the optimal number of code elements. The method primarily includes calculating the unfolded phase of the input signal and filtering it using a differential filter to obtain the instantaneous frequency; removing average frequency deviation, edges, outliers, and low-value processing, creating corresponding reference data, calculating amplitude correlation values, and searching for the number of code elements corresponding to the maximum correlation value. This method is not limited to the type of phase-coded signal or the frequency deviation of the pulse and can also adapt to situations where pulse edge estimation is inaccurate. The instantaneous frequency can be obtained by filtering using a differential filter or by instantaneous phase differential. The subsequent process remains the same, and the number of code elements can still be estimated. The calculation speed is fast and engineering implementation is convenient.

The application provides an underground cable identification method and system, and belongs to the technical field of underground pipe network detection and electromagnetic measurement. K The application comprises the following steps: synchronously acquiring physical channel signals in a space at an offset position directly above a target cable, constructing a three-dimensional magnetic field gradient tensor, and solving the gradient tensor to obtain a transverse attenuation gradient feature; a tensor fusion is performed on one intrinsic modal component generated by each physical channel to construct a high-latitude space-time joint observation matrix, and independent source signal components are mapped from the space-time joint observation matrix; a pure target intrinsic active signal is acquired from the output source signal components; a three-dimensional heterogeneous feature flow matrix is obtained by splicing the transverse attenuation gradient feature, the standard deviation of the instantaneous phase, and the harmonic distortion rate of the spectrum according to time steps; deep feature extraction and classification are performed on the continuously obtained three-dimensional heterogeneous feature flow matrix to acquire a confidence probability that a detection object in a current sliding time window belongs to the target cable.

The application belongs to the technical field of structural health monitoring, and particularly relates to a load compensation method for guided wave damage monitoring signals. The method comprises the following steps: step one, obtaining a baseline signal before monitoring starts and a current signal after monitoring starts; step two, calculating a time delay when a maximum absolute value of a cross-correlation function of the baseline signal and the current signal is obtained; step three, calculating instantaneous phases of the baseline signal and the current signal; step four, constructing a local distance matrix according to the time delay and the instantaneous phases; step five, constructing a global distance matrix according to the local distance matrix; step six, determining an optimal regular path in the global distance matrix through a backtracking algorithm; and step seven, completing phase load compensation of the current signal to the baseline signal according to the optimal regular path. The application overcomes the deficiency of the existing guided wave signal load compensation method that requires data samples to determine model parameters, can quickly determine load compensation parameters, and is suitable for practical engineering applications.

The present application provides a method for predicting phase using a parallel estimation architecture network trained with anti-warping loss. The method includes, during the training process, simulating the process of calculating the phase spectrum from the real and imaginary parts of the short-time complex spectrum through two parallel linear convolution layers and a phase calculation unit in the neural network to be trained, and limiting the predicted phase value to the main value interval to achieve the prediction of the warped phase spectrum, and the anti-warping loss used in the training includes the instantaneous phase error, group delay error and instantaneous angular frequency error activated by the anti-warping function to avoid the error expansion problem caused by phase warping. After the training is completed, the trained phase prediction neural network is used to process the logarithmic amplitude spectrum of the speech signal to be predicted to obtain the warped phase spectrum. This solution directly predicts the warped phase spectrum of the speech signal through a neural network, and solves the error expansion problem caused by phase warping during training by introducing an anti-warping function when calculating the loss, and has high efficiency and accuracy.

The invention discloses an OCT (Optical Coherence Tomography) broadband spectrum nonlinear interference signal wave number calibration and depth reconstruction method, which comprises the following steps of: acquiring a nonlinear sampling broadband spectrum interference signal of a single-layer reflector by utilizing frequency domain OCT, removing a direct current item and noise, performing continuous wavelet transform on the signal by taking Morlet complex wavelet as a generating function, detecting and extracting a wavelet ridge line through a wavelet modulus maximum value, and reconstructing the depth of the nonlinear sampling broadband spectrum interference signal. Obtaining an instantaneous phase and converting the instantaneous phase into wave number information, and constructing a nonlinear Fourier transform matrix by using the wave number information; and testing a to-be-tested target by using the frequency domain OCT to obtain a broadband spectrum interference signal, carrying out direct current item removal and noise treatment, and then carrying out calculation by using the constructed nonlinear Fourier transform matrix to obtain reflectivity information of the to-be-tested target at different depths. According to the method, the problem of nonlinear sampling of the broadband spectrum interference signal in the frequency domain OCT is solved, and high-precision wave number calibration and accurate recovery of nonlinear sampling interference signal depth information are realized.

The invention provides a Sigmoid modulation phase correlation surface wave full waveform inversion method and system. The method comprises the following steps: acquiring a surface wave seismic record and constructing an initial S wave velocity model; performing forward modeling to generate a synthetic record; calculating instantaneous phase correlation of observation and synthetic records to construct an amplitude-independent target function; modulating the target function by using a Sigmoid function, and mapping the value of the target function to a predetermined interval; and calculating a gradient based on the modulated target function and iteratively updating the speed model until a termination condition is met, and outputting a final model. According to the method, the smooth saturation and bounded output characteristics of the Sigmoid function are utilized, the target function response is converted into a self-adaptive gradient scaling mechanism, a self-stabilization optimizer is introduced for the inversion process, and the convergence domain is widened by applying smooth constraint, so that the dependence on the initial model precision is reduced, and the first success rate and the result reliability of inversion under complex conditions are improved.

This application belongs to the field of rotating machinery signal processing technology, and discloses a method for estimating the rotational speed of multi-axis rotating machinery based on displacement vibration signals. The method involves acquiring displacement vibration signals and performing short-time Fourier transform to obtain a time-frequency distribution matrix; selecting a safe harmonic set for each axis system based on the estimated rotational speed range; calculating the sharpness evaluation value of each safe harmonic and selecting the optimal harmonic as the target tracking harmonic; constructing a cost function that fuses amplitude and frequency mutation penalties; performing ridge tracking in the denoised local time-frequency matrix to obtain a preliminary estimated time-frequency curve; constructing a demodulation phase function based on this curve; performing generalized demodulation and narrowband filtering on the original signal to extract clean harmonic components; and finally reconstructing the final rotational speed curve of the corresponding axis system through instantaneous phase differentiation. This method achieves high-precision, anti-interference decoupling and estimation of the rotational speed of each axis system under strong interference conditions.

This invention relates to the field of balance assessment, and more specifically, to a method for assessing the dynamic balance performance of micro fan blades. The method includes: reconstructing a high-precision instantaneous phase sequence using Hall signals and performing a two-stage fitting: first, identifying interference frequencies through preliminary fitting; then, constructing a hybrid domain full-basis matrix containing rotor phase basis and time-domain interference basis, and globally fitting the original vibration signal to achieve accurate separation of the target signal and interference. Finally, calculating the unbalance amplitude from the fitting coefficients and calculating the goodness of fit to quantify the assessment measurement confidence. This invention effectively mitigates speed fluctuations, separates interference, and performs self-verification, significantly improving the accuracy and reliability of the assessment.

The application discloses a micro-grid island detection method and system, electronic equipment and a storage medium, comprising: phase-locked processing of a three-phase voltage signal, obtaining an instantaneous phase sequence and constructing a phase increment fluctuation sequence; the numerical distribution probability of the phase increment fluctuation sequence in a preset sliding time window is counted, and a phase fluctuation dynamic entropy value is calculated. The active power signal of the point of common coupling is extracted, the active power fluctuation rate sequence is constructed, and the power fluctuation dynamic entropy value is calculated based on the sliding time window; according to the moving average value of the entropy value in the historical time period, the phase fluctuation determination threshold and the power fluctuation determination threshold are updated. When the voltage amplitude and frequency of the point of common coupling are both in the preset normal operation interval, if the phase fluctuation dynamic entropy value is greater than the phase fluctuation determination threshold or the power fluctuation dynamic entropy value is greater than the power fluctuation determination threshold, it is determined that the island effect occurs, and a trip control signal is output. The application can eliminate the power balance blind area and has strong noise resistance.

The invention discloses a method for solving a signal instantaneous phase standard deviation, and the method comprises the steps: solving an instantaneous phase of a non-weak signal segment through setting a reasonable amplitude judgment threshold, carrying out the unwinding of the non-weak instantaneous phase through setting a reasonable unwinding threshold, solving a linear coefficient through linear fitting, calculating a residual carrier frequency offset value, and correcting original IQ data. And finally, fitting the sequence again to obtain a linear component, subtracting the linear component from the nonlinear component instantaneous phase sequence again, performing secondary linear component removal on the nonlinear component instantaneous phase sequence, and calculating a standard deviation through a standard calculation formula to obtain a non-weak signal segment. And obtaining the standard deviation of the instantaneous phase. According to the method, the instantaneous phase linear component of the amplitude modulation signal can be completely removed, and meanwhile, compared with an existing scheme, the problem of excessive unwrapping can be effectively solved in terms of instantaneous phase removal linear components of phase modulation and frequency modulation signals.

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 signal detection and identification method, comprising the following steps: S1, determining the specific specification of the signal to be detected and identified; S2, extracting the signal characteristics of the signal with the specific specification; S3, distinguishing the signal bandwidth and signal type on the frequency point based on the signal characteristics; S4, locating the accurate burst starting position based on the instantaneous phase curve of the signal or the unique code information of the signal; accurately determining the end position of each burst based on signal demodulation or the frame structure of the signal; S5, counting the repetitive characteristics of the burst starting position, and calculating the frequency offset and / or signal-to-noise ratio information of the signal based on the repetitive characteristics. The corresponding system, electronic equipment and computer readable storage medium are also disclosed, which can detect the target digital signal under the condition of noise packets and other interference, and the accuracy reaches within one symbol error of 98% or above, and the modulation, symbol rate and related information characteristics of the target signal are extracted.

The application relates to an artificial intelligence-based fault interpretation method, which comprises the following steps: converting three-dimensional seismic data into instantaneous phase bodies (S1); intercepting a plurality of instantaneous phase profiles perpendicular to the strike of a fault indication (S2); extracting phase points from each instantaneous phase profile at a certain phase interval, and assigning natural numbers to the points of different phases (S3); determining an interpretation point extraction distance A by using an iterative method according to the distance between two points with the same value (S4); extracting the points with the same value as the condition of meeting the distance A, and connecting the extracted points by lines to obtain a stratum interpretation line (S5); determining a breakpoint extraction distance B by using an iterative method according to the distance between the breakpoints of two different stratum interpretation lines (S6); extracting the breakpoints of each stratum interpretation line as the condition of meeting the distance B, and connecting the extracted breakpoints by lines to obtain a fault plane interpretation line (S7); and splicing the fault plane interpretation lines of each instantaneous phase profile to obtain a three-dimensional model of the fault (S8).

The invention discloses a method, a device, a medium and a system for pulse-by-pulse rapid identification of an in-pulse linear frequency modulation signal, and belongs to the field of signal processing, and the method comprises the following steps: processing an intermediate frequency data stream of an input signal, and outputting frame data containing instantaneous phase, frequency, amplitude and azimuth information; collecting information of similar frame data, and performing signal parameter measurement to obtain parameter measurement information; obtaining intra-pulse linear modulation information of the signal pulse by using phase and frequency information of the frame data; and finally, gathering parameter measurement information and signal intra-pulse modulation information to form a PDW (pulse width modulation) so as to realize simultaneous processing of signal parameter measurement and signal intra-pulse feature extraction, thereby having the capability of identifying intra-pulse linear frequency modulation signals pulse by pulse. The method provided by the invention has a pulse-by-pulse intra-pulse linear frequency modulation characteristic identification capability, and can improve the signal sorting and identification capability.

The invention discloses a cable three-phase unbalanced current detection method based on phase difference, and relates to the field of current sensing, and the method comprises the steps: carrying out the synchronous collection of three-phase current signals of a cable, and carrying out the preprocessing of the collected signals; an improved Hilbert-Huang transform method is adopted, and the instantaneous phase of each phase of current is extracted from the preprocessed three-phase current signals; calculating an instantaneous phase difference between any two phases based on the extracted instantaneous phase of each phase of current, and determining a three-phase current balance state of the cable according to the instantaneous phase difference; when it is judged that the three-phase instantaneous phase difference is in the unbalanced state, the fault type is recognized according to the abnormal mode of the three-phase instantaneous phase difference, corresponding fault response operation is executed, self-adaptive weighted fusion phase extraction of the multi-component signals is achieved through an improved Hilbert-Huang transform method, and the fault detection accuracy is improved by combining instantaneous phase difference calculation and abnormal mode recognition. And high-precision and high-real-time online detection and fault type discrimination of the three-phase imbalance state of the cable are realized.

A method for determining an instantaneous phase difference between time bases of at least two location anchors for a desired point in time (t), each of the location anchors having transmitting and receiving access to a joint broadcast transmission medium and a respective time base for measuring time, wherein a first of the location anchors broadcasts a first broadcast message at least twice; the first location anchor and at least a second of the location anchors receive the first broadcast messages; the second location anchor broadcasting a second broadcast message at least twice; and the second location anchor and at least the first location anchor receive the second broadcast messages. The location server calculates the instantaneous phase difference from a determined first and second clock model functions and from a time elapsed between a reference point in time and the desired point in time t.

Embodiments of the present application provide a method and device for obtaining geological layer bio-reef information and a storage medium. The method comprises: obtaining a frequency range of a geological layer to be measured; dividing the frequency range into a first frequency band, a second frequency band and a third frequency band from low to high; performing band filtering on different frequency bands respectively to obtain energy focused seismic data of different frequency bands; calculating energy focused instantaneous phase data of the energy focused seismic data of different frequency bands respectively; fusing the energy focused instantaneous phase data of different frequency bands to obtain fused data; and determining bio-reef information of the geological layer to be measured by using the fused data. The method realizes fine characterization of the shape contour and internal structure details of the bio-reef.