106 results about "Phase domain" patented technology

The invention relates to the technical field of precise geometric quantity measurement, and discloses an electronic component size and contour automatic metering method, which comprises the following steps: calculating a nominal truncation phase distribution diagram of a to-be-measured electronic component by using a virtual projection imaging model, controlling a projection unit to project a single-frequency sine stripe grating to the electronic component and collecting a deformed stripe image, calculating the gradient of the modulation degree distribution map and extracting edge contour features to solve the actual pose of the assembly; performing modulo 2pi differential operation on the nominal and actually measured truncated phase distribution maps, and eliminating high-gradient artifacts by using an edge mask to generate a phase residual map; and converting the phase residual image into a height deviation distribution diagram according to the phase height mapping relation, and by constructing a phase domain differential metering channel, the phase unwrapping ambiguity in discontinuous surface measurement is avoided.

The invention discloses a method for switching between a first communication mode and a second communication mode, and the method comprises the steps: determining a dual-mode phase difference between a first mode baseband signal and a second mode parameter based on the first mode baseband signal and the second mode parameter; generating an interleaved phase coding sequence in response to the dual-mode phase difference; pre-modulating the first mode signal in parallel before switching by using the coding sequence, and generating a pre-activated second mode virtual signal; switching from the first mode to the second mode is executed based on a parallel fusion phase track generated after the phases of the two preprocessed signals are subjected to time-varying weighted fusion. According to the method, a smooth switching track is constructed through parallel phase preview and phase domain fusion, phase continuity and frequency stability in the switching process are ensured, switching time delay and the data error rate are remarkably reduced, and the communication service quality of the heterogeneous network is improved.

The invention provides an AIS signal constrained least square angle estimation method, device and equipment and a storage medium, and the method comprises the steps: collecting time domain, frequency domain and phase domain TDOA observation data, and evaluating the observation precision of each path based on a signal-to-noise ratio, goodness of fit and phase stability; then, mapping multi-source observation values into a unified nonlinear observation equation, and constructing a weighting matrix according to each observation precision, so that a high-precision channel obtains a larger weight; thirdly, forming an equation and inequality constraint set by combining the physical incidence angle range constraint of the double / three-antenna array, the arrival time difference range constraint determined by the baseline length and the propagation speed and the three-antenna closed TDOA geometric constraint; and finally, constructing an optimization target in a constrained least square form, carrying out iterative solution through a sequential quadratic programming (SQP) algorithm, outputting an optimal angle estimation value on the premise of meeting all physical and geometric constraints, and realizing high-precision estimation of the AIS signal arrival angle in a complex electromagnetic environment.

The invention discloses a data converter based on a voltage-controlled oscillator and an implementation method of the data converter. The data converter based on the voltage-controlled oscillator comprises a sampling circuit, a multi-bit successive approximation type data converter and a multi-bit multi-order Delta-Sigma data converter. An incremental scaling type data converter based on a voltage-controlled oscillator is improved, a feed-forward compensation method suitable for the voltage-controlled oscillator is designed, the characteristics of a Delta-Sigma data converter clock are fully utilized, a feed-forward phase is firstly added into a total differential phase of the voltage-controlled oscillator and then subtracted after quantization is finished, and therefore feed-forward compensation of a phase domain is equivalently achieved. A new time sequence is not introduced, so that the implementation cost is low; the voltage-controlled oscillator is completely isolated from sensitive nodes in the circuit, so that kickback noise is avoided; according to the invention, the high-energy-efficiency data converter based on the voltage-controlled oscillator can be constructed more simply, and can be widely applied to the fields of Internet of Things, smart medical treatment and the like.

The invention relates to the technical field of vital sign anomaly detection, in particular to a vital sign anomaly feature extraction method based on a sign signal, which comprises the following steps: firstly, dynamically adjusting the size of a time cabin through variational optimization, taking both transient and steady feature capture into account, and avoiding feature loss caused by a fixed window length; in combination with principal component analysis, Lyapunov exponential chaos quantization and a high-order differential operator, nonlinear features are decoupled from multiple dimensions of a time domain, a frequency domain and a phase domain, the feature interpretability is improved, further, through phase-speed mapping and attention weighted fusion, self-adaptive enhancement and decoupling of spatial-temporal features are achieved, noise interference is suppressed, and the spatial-temporal features are enhanced. The finally generated multi-dimensional feature cube integrates time resolution, frequency precision and phase differential information, the anomaly detection robustness of complex vital signs is remarkably improved, and the defects that a traditional method is single in dimension and insufficient in adaptability in dynamic signal processing are overcome.

A method and system of determining a relative radial velocity of a radar target by operating a radar sensor having a plurality of multiplexed transmission channels, wherein modulated transmission signals are sent in repeated multiplex sequences in which the transmission signals sent in different transmission channels have a predetermined spread in at least one of a time, frequency, and phase domain, and the velocity of the target is inferred from a Doppler-induced phase progression of the received signals, the method including the steps of: switching between at least two multiplex sequences which differ in the spread between the transmission channels and thereby induce different phase progressions; and inferring the velocity of the target from the differences between said phase progressions.

The invention discloses a generator stator winding broadband off-line partial discharge test method and device, and relates to the technical field of generator partial discharge off-line tests.The generator stator winding broadband off-line partial discharge test method comprises the steps that a sampling interval is set according to a variable step size strategy and a variable period delay strategy, and an acquisition system is initialized; synchronously monitoring phase information of externally applied voltage-withstanding power frequency alternating current, starting timing, and timing according to a single-period sampling interval mechanism and a full-period sampling interval mechanism; acquiring partial discharge signals and performing synchronous extrusion wavelet transform by using a mother wavelet function to obtain signals of different frequency components; and restoring the extracted frequency band signal to a time domain, and drawing and outputting a partial discharge time domain and phase domain result graph. The generator stator winding broadband off-line partial discharge test method provided by the invention reflects the discharge condition of the high frequency band after the stator insulation system is aged. For the facts that a high-frequency signal channel is narrow and attenuation is fast, the device is suitable for on-site measurement of partial discharge of a large-scale synchronous generator set stator insulation system of 27kV and below.

Mechanism on reporting procedure information for simultaneous multi-panel uplink (UL) transmission is provided. According to embodiments of the present disclosure, a first device transmits first capability information to a second device. The first capability information comprises a list of UE capability value sets. Each UE capability value set in the list defines an antenna arrangement of the first device and is characterized by a first number of transmission antenna ports. The first device transmits second capability information to the second device. The second capability information comprises a group of UE capability value sets, wherein the group of UE capability value sets defines a plurality of antenna arrangements of the first device, and coherence information in phase domain between transmission antenna ports of the plurality of antenna arrangements or between the plurality of antenna arrangements. In this way, it enables simultaneous multi-antenna panel codebook based UL transmission with different antenna panels having difference capabilities.

A method and system of determining a relative radial velocity of a radar target by operating a radar sensor having a plurality of multiplexed transmission channels, wherein modulated transmission signals are sent in repeated multiplex sequences in which the transmission signals sent in different transmission channels have a predetermined spread in at least one of a time, frequency, and phase domain, and the velocity of the target is inferred from a Doppler-induced phase progression of the received signals, the method including the steps of: switching between at least two multiplex sequences which differ in the spread between the transmission channels and thereby induce different phase progressions; and inferring the velocity of the target from the differences between said phase progressions.

The invention relates to the technical field of vibration monitoring, and discloses a steam turbine cold end fault diagnosis method and system based on a fusion time sequence convolutional network, and the method comprises the steps: eliminating the frequency spectrum drift caused by the rotation speed fluctuation through band-limited filtering and order domain resampling, and automatically extracting the specific low-frequency modulation component of a cold end through the envelope square and a periodogram, and finally, the asymmetric dynamic response characteristics of the rotor system are quantified by third-order spectrum phase bias, and the phase change rule is adaptively learned by the pre-trained convolutional network. According to the method, the problem that traditional amplitude spectrum analysis is high in misjudgment rate under the strong noise, variable speed and unsteady environment is effectively solved, the fault features show higher stability and distinguishability in the phase domain, and therefore high-robustness and high-precision automatic diagnosis of the turbine cold end rotor faults is achieved.

The invention discloses a titanium-aluminum alloy defect detection device and method.According to the titanium-aluminum alloy defect detection device, a micro-texture film is attached to the surface of a detected workpiece in the defect detection process, so that a known interference source is introduced, and the defect detection accuracy is improved by combining a forward and reverse constant-speed scanning strategy; signal processing is carried out after the forward phase domain response signal and the reverse phase domain response signal are obtained, and a real defect signal can be accurately extracted, so that a surface roughness interference signal can be effectively eliminated on the premise that the surface of a workpiece is not damaged, the detection rate of titanium-aluminum alloy surface and near-surface defects is improved, the false detection rate is reduced, and the detection efficiency is improved. And high resolution and high signal-to-noise ratio are maintained.

The invention provides a DDR wafer test anomaly detection method and device based on machine learning, and the method comprises the steps: obtaining a time sequence eye pattern synchronously collected in a DDR wafer test process and time sequence waveform data related to total jitter, deterministic jitter and random jitter, and carrying out the clock edge phase segmentation alignment of differential time sequence sampling points in the time sequence waveform data, phase domain dense sampling data is constructed, adaptive sparse coding is completed in combination with DDR jitter physical priori, noise and normal process fluctuation related components are removed, defect sensitive sparse components are obtained, variational mode decomposition is performed, components related to process drift, normal process fluctuation and abrupt change abnormity are obtained, and the defect sensitive sparse components are subjected to sparse coding; and the abrupt change anomaly correlation component is extracted as target detection data, a preset machine learning model is input, an anomaly mode correlation result is generated, a DDR wafer test anomaly detection result is output based on the result, and a corresponding test setting item adjustment instruction is generated. According to the invention, the overall efficiency and the result reliability of the DDR wafer test can be improved.

The invention relates to the technical field of power system relay protection, in particular to an alternating-current transmission line state estimation fault phase selection method, system and device and a medium, and the method comprises the steps: mapping mutually coupled three-phase voltage and current components in a three-phase alternating-current transmission line from a phase domain to a mode domain space; mode domain voltage and current components of the new energy side and the power grid side are obtained; constructing a system measurement equation based on the mode domain voltage and current components to obtain an optimal estimation value; calculating a residual normalized sum of squares according to the optimal estimation value, and screening out an intra-region fault line by comparing the residual normalized sum of squares with a chi-square distribution threshold value; and performing secondary decoupling on the same fault current data of the fault line in the area, and determining the fault phase according to the residual normalized quadratic sum ratio of each mode domain component under the multi-mode phase-mode transformation combination. Through the state estimation method combining phase-mode transformation and the Bergeron model, rapid and accurate phase selection of the AC power transmission line fault is realized, and the fault identification precision is effectively improved.

The invention discloses a laser powder bed sheet pattern distortion real-time correction system and method based on a phase type light valve, and relates to the technical field of metal additive manufacturing. The system comprises a polarization laser, a beam expanding and collimating unit, a reflecting mirror, a phase-type spatial light modulator, a reflecting mirror, a relay optical system, a galvanometer / field lens system, a movable spectroscope, a reference plane mirror and a forming cylinder. A double-loop correction system with a position sensitive detector as an absolute reference and a wavefront sensor as direct feedback is constructed, information of the position sensitive detector and the wavefront sensor is unified in a phase domain through a frequency domain fusion algorithm, and a comprehensive compensation phase diagram capable of completing pattern generation and distortion correction at the same time is generated. And loading to a phase type light valve to carry out high-power laser patterning modulation, and melting metal powder of a powder bed.

The method for diagnosing partial discharge faults of reactors based on compressed sensing and dynamic Bayesian networks relates to the technical field of fault diagnosis of power equipment, and is used to solve the problem that the existing partial discharge monitoring and fault diagnosis methods of reactors cannot cope with multi-source complex partial discharge signals and environmental noise. The fault diagnosis method of the present invention first uses compressed sensing technology to achieve the sparseness of partial discharge signal characteristics, reduce data redundancy, and retain key features. Subsequently, based on the multi-dimensional partial discharge map technology, the time domain, frequency domain, phase domain and time-frequency domain maps are generated and fused to construct a diversified partial discharge feature representation. The dynamic Bayesian network DBN is used for real-time fault diagnosis, and is optimized by the differential evolution adaptive bacterial foraging optimization DEABFO algorithm to improve the accuracy and efficiency of fault identification. The present invention can effectively cope with multi-source complex partial discharge signals and environmental noise, and is suitable for partial discharge fault prediction and diagnosis under complex working conditions.

The invention discloses an optical time delay calibration method of a broadband phased array. According to the method, the defect that a traditional optical time delay measurement method is only limited to a single measurement domain such as a time domain, a frequency domain or a phase domain is overcome, resources of multiple dimensions such as the time domain, the frequency domain and the polarization domain are reused, and the optical time delay measurement accuracy is improved based on the constructed optical domain vernier effect. By solving an indefinite equation formed by two optical pulse sequences in different polarization states, the measurable range of the optical time delay in a high-speed measurement scene is extended. The invention also discloses an optical time delay calibration device of the broadband phased array. Compared with the prior art, large-range, high-precision, multi-channel and rapid time delay measurement and calibration can be realized.

The present invention discloses a method for analyzing the transient fault current of a symmetrical bipolar flexible DC system under single-pole grounding, and relates to the technical field of power fault analysis. The key points of the technical solution are: establishing a model domain fault equivalent network and a phase domain fault equivalent network under a single-pole grounding fault; obtaining line phase domain equivalent parameters taking into account the coupling effect of positive and negative lines according to the equivalent relationship analysis of electrical quantities between the model domain fault equivalent network and the phase domain fault equivalent network; obtaining a phase domain low-order equivalent calculation circuit after reducing the order of the phase domain fault equivalent network; solving the phase domain fault current analytical formula according to the line phase domain equivalent parameters and the phase domain low-order equivalent calculation circuit. The present invention takes into account the line phase domain equivalent parameters of the coupling effect, and can use the phase domain equivalent network to perform analytical calculation on the fault transient current. Since the order of the phase domain equivalent network is lower than that of the model domain equivalent network, the system order and calculation complexity can be greatly reduced.

The application provides a multi-satellite signal acquisition method based on a graphics processor. Through the asynchronous pipeline architecture of CPU-GPU cooperation, after completing parameter configuration and data asynchronous uploading at the central processor end, the graphics processor end divides multiple CUDA streams based on the parallel subtasks of the CUDA stream based on the Doppler dimension, combines the pre-bound Fourier transform plan, accelerates the down-conversion through the frequency lookup table, performs frequency domain correlation and non-coherent accumulation in the code phase domain on multiple CUDA streams in parallel, and finally extracts the local peak value through one-level reduction and returns it asynchronously. The central processor end summarizes the results and judges the effectiveness based on the carrier-to-noise ratio. The design realizes the deep integration of the Doppler task-level pipeline and the code phase thread-level parallelism, avoids non-merged access of the GPU device memory, significantly improves the efficiency of multi-constellation signal acquisition, and supports multi-frequency point signal processing of GPS, Beidou and the like through a unified pre-configuration interface, thereby enhancing the architecture universality.

This invention discloses a method and system for analyzing circuit breaker breaking parameters based on phase domain trajectory analysis. The method includes: first, constructing a time-domain waveform expression for the short-circuit current; after acquiring the fault waveform, mapping the time-domain sampling points to the polar coordinate plane by defining reference points and sampling windows to form a phase domain trajectory and drawing it; then, performing waveform reproduction and similarity analysis, adjusting the initial phase of the sinusoidal AC component and the attenuated DC component to reproduce a high-precision time-domain waveform and improve the short-circuit current time-domain waveform expression; next, using vectorized matching technology based on digital channel names and kurtosis algorithms to screen out associated circuit breakers with displacement in the fault recording; then, calculating key parameters such as the DC time constant, fault current duration, and RMS value of the total current, and comparing and verifying them with the rated parameters of the circuit breaker. This improves the accuracy and real-time performance of circuit breaker breaking capacity assessment, providing an efficient and automated method for circuit breaker performance evaluation and anomaly diagnosis after power grid faults.

The application provides a multi-satellite signal acquisition method based on a graphics processor. Through the asynchronous pipeline architecture of CPU-GPU cooperation, after completing parameter configuration and data asynchronous uploading at the central processor end, the graphics processor end divides multiple CUDA streams based on the parallel subtasks of the CUDA stream based on the Doppler dimension, combines the pre-bound Fourier transform plan, accelerates the down-conversion through the frequency lookup table, performs frequency domain correlation and non-coherent accumulation in the code phase domain on multiple CUDA streams in parallel, and finally extracts the local peak value through one-level reduction and returns it asynchronously. The central processor end summarizes the results and judges the effectiveness based on the carrier-to-noise ratio. The design realizes the deep integration of the Doppler task-level pipeline and the code phase thread-level parallelism, avoids non-merged access of the GPU device memory, significantly improves the efficiency of multi-constellation signal acquisition, and supports multi-frequency point signal processing of GPS, Beidou and the like through a unified pre-configuration interface, thereby enhancing the architecture universality.

The present invention discloses a high-performance, broadband, electrically adjustable phase shifter with low phase error across the entire phase domain. This device belongs to the field of radio frequency microwave technology. The electrically adjustable phase shifter comprises an upper phase shifter structure, a middle microwave dielectric substrate, and a lower grounded metal plate. The phase shifter structure includes an input port feeder with a first capacitor, a routing microstrip line with second and third DC-blocking capacitors and first and second PIN diodes, a transmission microstrip line connected at one end to a fourth DC-blocking capacitor and at the other end to a coupler, a coupler, a reflective load, and an output feeder. The reflective load employs a novel structure, specifically comprising two varactors, an inductor, and an M-shaped transmission line. The reflective load is connected to the through-port and coupled-port of the coupler via a fifth DC-blocking capacitor, respectively, and the load terminal is grounded via a metal via. While maintaining a simple overall structure and a large phase shift range, the present invention addresses the issues of conventional reflective phase shifters, such as their inability to achieve broadband and small phase error.

The present invention discloses an absolute phase unwrapping method based on geometric constraints and photometric information. This method can measure objects with a large depth range without the need for additional image acquisition or other cameras. The method sets a virtual reference plane behind the object to be measured and uses the absolute phase of the reference plane as a reference to obtain the object's initial absolute phase. Phase discontinuities in the initial absolute phase are detected and connected as boundaries, thereby dividing the object into independent regions. Using a projector as a point light source, according to Lambert's cosine law, simulated images of different 2π phase domain intervals in space are generated for each region in turn. The phase domain 2π interval corresponding to the region is determined by comparing the similarity between these simulated images and the modulated image, ultimately obtaining the entire absolute phase map of the object.

The invention discloses a power distribution network fault diagnosis method and system based on improved empirical mode decomposition and a hybrid neural network, and the method comprises the following steps: obtaining high-frequency fault disturbance waveform data, and dividing a fault disturbance waveform into a plurality of data segments through a moving time window; obtaining an intrinsic mode component set for each data segment by using an improved empirical mode decomposition method; a random component in the intrinsic mode component is screened and removed by using an improved run detection method containing an adaptive factor; mapping the processed three-phase voltage transient waveform to a complex field plane by using phase domain transformation; and constructing a power distribution network fault diagnosis model by using the multi-branch hybrid neural network, the input signal being the fault data converted to the complex field plane, and the output data being the fault type.

The application discloses a phase-locked loop, a signal processing device and a signal processing method, and the phase-locked loop comprises a reference clock unit, a feedback unit, a phase discrimination unit and a weighting unit. The reference clock unit outputs two or more than two frequency-adjustable synchronous reference clock signals to the phase discrimination unit. The feedback unit performs frequency division processing on an output voltage signal output by the phase-locked loop in a first period to obtain a feedback signal. The phase discrimination unit determines a corresponding error signal according to a phase difference between each reference clock signal and the feedback signal. The weighting unit performs weighting calculation on the determined error signal to obtain a weighted error signal. The correction unit is configured to correct an output voltage signal output by the phase-locked loop in a second period according to the weighted error signal. In the embodiment of the application, a plurality of error signals are determined through two or more than two reference clock signals, and the phase domain average of reference clock noise of the phase-locked loop is realized through weighting of the error signals, so that the influence of in-band phase noise of the reference clock on the power consumption of the phase-locked loop is avoided, and the power consumption of the phase-locked loop is reduced.

The invention provides a visual positioning measurement method and system based on a micro-coding target. The method comprises the following steps: acquiring a target image through a module camera matched with a miniature microscope lens, and firstly, realizing automatic estimation of a distortion center through minimizing a phase nonlinear residual by using global linear structure characteristics of an orthogonal dot matrix in a frequency domain and a phase domain; on the basis, low-order radial and tangential distortion parameters are solved by adopting closed weighted least squares, so that single-image lens distortion correction is realized; then, a plurality of target images at different local positions are shot from different positions, each image is decoded to obtain global position information of the photoetching plate corresponding to the feature points, self-calibration of the camera is achieved, and internal parameters of the camera are obtained; and finally, performing two-dimensional Fourier transform on the acquired target image, performing unwrapping by using phase information of a complex field, and fusing and outputting the absolute position of the camera in combination with decoding information of the image.

A single-ended wired transmitter based on adaptive amplitude-phase cross-domain equalization comprises a data unit and a clock unit, and the clock unit provides multi-frequency and multi-phase clock signals for a serialization and driving circuit of the data unit through frequency division, duty cycle calibration and quadrature phase calibration according to an external differential input clock; the data unit performs amplitude pre-emphasis processing according to the hopping information to generate an equalization control signal, and performs phase control on the four-phase clock according to the length of the continuous same code element to obtain a clock signal for phase domain equalization; through the adaptive amplitude-phase cross-domain equalization technology, the mixed-mode driver technology, the current multiplexing technology of the phase modulator and the power gating technology of the serializer, the power consumption and the power noise can be remarkably reduced and the equalization capability can be improved in the memory interface and core particle interconnection application scene.

The invention relates to the technical field of rotor misalignment fault identification, in particular to a wind turbine generator fault online monitoring method, device and equipment and a computer readable storage medium, and the method comprises the steps: installing a strain sensor measuring point on a diaphragm of a high-speed shaft coupling of a wind turbine generator, and constructing a strain measurement chain; acquiring a strain signal by using the strain measurement chain, and converting the strain signal into a digital signal; performing frequency domain and phase domain feature extraction on the digital signal to obtain a feature extraction result; and identifying a rotating shaft misalignment fault type based on a feature extraction result to obtain a fault monitoring result. The non-centering state is represented by directly measuring the strain of the coupler diaphragm, direct evidence reflecting the centering state of the rotating shaft is obtained, and the signal-to-noise ratio and the monitoring accuracy are remarkably improved; the frequency domain amplitude features and the phase domain phase features are combined, the accuracy and reliability of fault type recognition are greatly improved, and the method has significant significance in guaranteeing safe and stable operation of the wind turbine generator and reducing the operation and maintenance cost.

A method of generating an optical pulse train using spectral extension by optical phase modulation, spectral narrowing by optical phase demodulation, and narrow linewidth optical filtering is disclosed. It is also described that the wavelength selection of light using a chromatic dispersion element between the optical phase modulator can enrich the method. Systems include an in-line optical setup and a ring-type laser cavity for mode-locked laser outputs. The duration with which the electrical signals driving the modulators are opposed determines the line width of the optical pulses, and the opposite repetition of the electrical signals defines the rate of repetition of an optical pulse train generated. Four different arrangements of electrical signals in the time domain or phase domain make it possible to control the generation of optical pulses and the wavelength selection of the light. (i) A signal arrangement comprising sinusoidal electrical signals with a slight frequency difference. (ii) A signal arrangement comprising a phase-shift between electrical signals. (iii) A signal arrangement comprising a phase-shift between electrical signals depending on the amplitude of the bits. (iv) A signal arrangement comprising random electric waves that repeat themselves over a predefined period to allow the insertion of controllable time delays between each other.

The present invention proposes a phase domain quantization residual detection module for a continuous-time Sigma-Delta modulator, comprising a rising edge and a falling edge D flip-flop, a two-input NAND gate, a quantization phase detection circuit with positive and negative polarities, and a two-input AND gate. The quantization residual of each level is obtained by detecting the phase of a sampling clock and input data, and is converted into a square wave signal with different duty cycles in the time domain, so as to serve as the input of a subsequent cascaded Sigma-Delta modulator. A solution is provided for the MASH structure of a continuous-time Sigma-Delta modulator based on a voltage-controlled oscillator. The invention improves and retains the advantage of fast working speed of the phase domain quantization residual through a simple circuit, and effectively avoids the problem of inaccurate output residual due to relying on mutual reference of multi-level data.

The invention discloses a data recovery method, device and equipment for a disk array and a readable storage medium, belongs to the field of data recovery, and aims to estimate lost data through part of representative data in the disk array, so that data blocks of a target disk array are mapped to a time domain and a phase domain, and the data recovery efficiency is improved. The method comprises the following steps: constructing an amplitude modulation signal with multiple modulation components, converting the amplitude modulation signal into a vector form for analysis, and accurately reconstructing fault disk data based on surviving data blocks by determining effective feature component numbers (the minimum number of features reflecting the overall characteristics of the data), that is, the data in the fault disk can be recovered under the condition that the RAID0 has the fault disk. The technical limitation that traditional RAID0 array data cannot be recovered is broken through, the data reliability is improved, additional hardware investment is not needed, and the data recovery cost is low.