222 results about "Correlation function" patented technology

The invention belongs to the technical field of underwater acoustic engineering and digital signal processing, and particularly relates to a fractional delay FIR (Finite Impulse Response) phase calibration method and system of a multichannel sonar system. Comprising the steps of signal acquisition and reference channel selection; high-precision relative delay estimation; calculating a cross-correlation function of other channel signals and the reference channel signal, performing coarse estimation by searching a peak point of the amplitude of the cross-correlation function, and performing fine estimation on the peak position by using a parabola interpolation method to obtain the delay time of each channel relative to the reference channel; designing an FIR fractional delay filter; digital filtering and phase calibration; verifying a calibration effect; and calculating the phase of each channel signal at the target frequency point after calibration, and counting the standard deviation of each channel signal so as to evaluate the improvement degree of phase consistency. The method aims at overcoming the defect that traditional integral multiple sampling delay correction precision is insufficient, high-precision phase compensation of a sub-sampling point level is achieved, and therefore the performance of algorithms such as beam forming of a multi-channel sonar system is remarkably improved.

The invention relates to the technical field of data center dynamic modeling, and discloses a twin model dynamic modeling method for a data center DCIM platform, which comprises the following steps: constructing a discrete state space model containing a thermal coupling matrix and a system matrix, collecting real-time power and temperature time sequence data, and calculating a cross-correlation function to lock hot air dynamic transmission lag time; calculating cut-off frequency based on physical attributes of the cabinet and decomposing data into high and low frequency components by using a complementary filter; according to the method, the model parameters are made to return to a physical source through a frequency domain decoupling mechanism, the problem of aliasing of airflow coupling and structural thermal inertia parameters in a traditional single-scale identification method is solved, and the method is suitable for large-scale identification. And the physical authenticity and prediction robustness of the twin model under a complex working condition are improved.

The invention relates to the technical field of bridge engineering structure health monitoring, in particular to a service life prediction method and system for a bridge connection part, and the method comprises the steps: collecting the strain of a grouting sleeve, a reinforcement-grouting interface ultrasonic reflection signal and environment temperature and humidity data through a distributed sensor array; a three-dimensional dynamic void rate model is generated through fusion of a spatial topological mapping algorithm, a correlation function of load circulation and void expansion is established, the dynamic void rate is input into a bond strength coupling degradation model, after strength attenuation is quantized in combination with steel bar corrosion data and bond failure early warning is triggered, stress redistribution is calculated through multi-physics coupling simulation, and the dynamic void rate is obtained. Early warning is taken as a starting node, the actual load spectrum and temperature and humidity data are combined, Monte Carlo sampling is adopted to simulate rigidity degradation and output the residual life probability, the system comprises a multi-source collaborative sensing unit, a micro-void evolution analysis unit and a life prediction decision unit, and the safety control precision of bridge connection parts is improved.

The invention discloses a distributed OFDR sensing signal demodulation method and system based on local ridge line tracking, relates to the technical field of optical fiber sensing, and is used for solving the problem that a traditional cross-correlation algorithm is difficult to consider robustness and real-time performance at the same time. The method comprises the following steps: respectively processing a reference beat frequency signal of a sensing optical fiber to be measured in a strain-free state and a measurement beat frequency signal of the sensing optical fiber to be measured in a strain state to obtain a reference complex Rayleigh scattering signal and a measurement complex Rayleigh scattering signal containing a plurality of sensing positions along the optical fiber; calculating a cross-correlation function based on the two signals; stacking the cross-correlation functions corresponding to all sensing positions along a distance domain, and constructing a two-dimensional cross-correlation thermodynamic diagram matrix; performing filtering processing and weighting processing on the two-dimensional cross-correlation thermodynamic diagram matrix to obtain an optimal frequency drift distance; and demodulating based on the optimal frequency drift amount to obtain strain distributed along the to-be-measured sensing optical fiber. According to the invention, high-robustness and rapid demodulation of the signal in an application scene with extremely high real-time requirement can be realized.

The invention discloses an intelligent identification method for an electricity larceny prevention behavior of an electric energy metering box, which relates to the technical field of electricity larceny behavior identification and comprises the following steps: continuously acquiring data of the metering box, calculating a difference value between metering energy and estimated energy, extracting a symbol direction to generate a metering deviation accumulation index and determining an abnormal starting moment; taking the moment as an anchor point to extract a current ripple phase and a zero-sequence current direction, calculating a correlation function of a differential symbol sequence, and determining a characteristic response time delay and a coupling weight search range through combined evaluation of time delay peak sharpness and time delay peak stability to construct a coupling projection signal; traversing a search range in a verification window to calculate forward and reverse cumulants, and solving a self-consistent coupling weight and an abnormal effective moment; a coupling projection is constructed by using the self-consistent coupling weight and the time delay, and a verification accumulation index is generated; when the overlap ratio of the verification accumulation index and the metering deviation accumulation index falls into a preset credible interval, determining that an electricity stealing behavior exists; according to the invention, the accuracy and reliability of electricity stealing behavior identification are improved.

The invention discloses an underwater sound environment sensing method based on multi-array-element sparse channel estimation. An underwater sound receiving end receives signals transmitted through an underwater sound multipath channel through a multi-array-element array; performing Hilbert transform on the receiving signal of each array element to obtain an analysis signal, and calculating a cross-correlation function of the analysis signal and the transmitting signal; based on the cross-correlation function, sparse channel parameters, including path amplitude and time delay, of each array element are estimated by adopting an orthogonal matching pursuit algorithm combined with a constant false alarm detection dynamic threshold value; the method comprises the following steps: constructing an array response vector by using sparse channel parameters of a multi-array element array, and searching and estimating angles of arrival, including a direction angle and a pitch angle, of a multipath signal through a spatial spectrum peak value; and based on the arrival angles, amplitudes and time delays of the direct path and the reflection path, inverting an underwater environment structure through a ray acoustic theory, including a reflection point distance and a reflection surface normal vector, so as to realize three-dimensional perception of the underwater reflector. According to the invention, multipath resolution can be improved, and false alarm and missing detection can be effectively reduced.

The invention provides a vehicle fault identification and driving behavior early warning method based on multi-modal feature fusion, and relates to the field of vehicle fault diagnosis and safe driving, and the method comprises the steps: collecting a vibration signal, an acoustic signal and a driving operation signal, extracting a fault feature and a behavior feature, calculating a time delay cross-correlation function to obtain a time delay influence spectrum, and carrying out the early warning of a driving behavior. And performing recursive calculation to obtain an evolution trajectory curve, calculating a fault-behavior coupling risk index by detecting the deviation of the evolution trajectory curve from a preset stable region, and generating a multi-modal early warning signal of a corresponding intensity level according to the risk index. The method has the advantages that correlation analysis of faults and driving behaviors is achieved, and the accuracy and timeliness of early warning are improved.

The invention discloses a water conservancy project full life cycle operation and maintenance management method and platform, and relates to the technical field of water conservancy project management.The weir crest water level Hw, the gate flow Qo, the gate opening and closing pressure Pg, the structure dip angle Gq and the iron concentration cFe are accurately collected through a multi-source physical sensing unit; and the sensor type, the arrangement position and the acquisition condition corresponding to each parameter highly accord with the operation characteristics of the water conservancy project, so that the data source is stable, the coverage is wide, and a high-frequency real-time data sensing system is formed. The mechanism breaks through the problem of low credibility of previous parameters, and lays a high-quality data foundation for subsequent operation state modeling and situation map construction. A structural stability correlation function constructed based on a water conservancy physical mechanism is introduced as an evaluation index, sliding window recognition and inversion repair are performed on abnormal fluctuation in original data, and different from a conventional statistical elimination method or an interpolation filling method, reasonable traceability correction can be performed by using a known physical relationship of a system.

The invention relates to a method (200) for calibrating a conversion chain (12) of an analogue signal receiver (10), which method comprises: - generating (205) a pseudo-random sequence (S) of states used for the formation (210) of a frequency-modulated analogue calibration signal (ANA_cal,mod); - injecting (215) this calibration signal into the conversion chain (12); - forming a digital signal to be processed (NUM_BB) by demodulating (220) an intermediate digital signal (NUM_int) received in response to the modulated analogue calibration signal (ANA_cal,mod); - determining (225) a correlation function R(NUM_BB,S) between the digital signal to be processed (NUM,BB) and the pseudo-random sequence (S); - determining (230) a transfer function (H) of the conversion chain based on the correlation function R(NUM_BB,S); and - where necessary, determining (235) a parameter (Ci) of a processing step at the output based on the transfer function (H).

A calculation method of karst underground reservoir capacity curve based on hydrogeological parameters, including the following steps: hydrogeological exploration, determination of karst underground water reservoirs scope, determination of water storage space, determination of relevant hydrogeological parameters based on hydrogeological tests, and underground reservoir capacity analysis. The invention uses the unit water permeability and the borehole line karst rate that are very easily obtained through the borehole pressure (injection) water test and combines it with a small amount of water pumping test, thereby obtaining a correlation function relationship through regression analysis between the specific yield and the karst rate that are difficult to obtain and the unit water permeability or the permeability coefficient; the underground storage capacity at the corresponding elevation is calculated according to the specific yield or the karst rate and the underground storage capacity curve is obtained, which can improve accuracy and reduce errors.

The invention discloses an osmotic pressure analysis method and device fusing model optimization and physical inversion and a medium, and the method comprises the steps: calculating correlation coefficients of a specified reservoir water level and osmotic pressure under different time lags based on cross-correlation function analysis, and recognizing a differential nonlinear feature corresponding to the maximum correlation coefficient; aiming at the differentiated nonlinear characteristics of different dam types, constructing a plurality of corresponding diagnosis prediction models in parallel, and establishing a model selection decision rule to select an optimal diagnosis model; according to delay parameters obtained through cross-correlation analysis, a permeability coefficient is reversely deduced through a pore medium heat transfer diffusion theoretical formula; according to the regression slope and the theoretical value attenuation factor of the optimal model, a permeability coefficient is reversely deduced in combination with a correction diffusion equation, credibility evaluation and weighted fusion are performed on the permeability coefficient, and a comprehensive permeability coefficient is calculated; and diagnosing the soil type and the permeability characteristic grade. According to the method, the propagation delay characteristic of reservoir water level change in the pore medium can be accurately quantified, and the inversion precision of the permeability coefficient and the engineering applicability are improved.

The invention belongs to the technical field of unmanned aerial vehicle millimeter wave communication channel modeling, and discloses an urban low-altitude unmanned aerial vehicle millimeter wave communication channel modeling method under sand and dust weather conditions. According to the method, a three-dimensional geometric random channel model is provided, and scatterers are divided into three types: near-field scatterers at the transmitting end and the receiving end adopt bicylindrical models, suspended dust adopts a complete ellipsoid model, and ground fixed scatterers adopt a lower half ellipsoid model with a larger semi-major axis. On the basis of the model, channel impulse response containing sight distance, primary scattering components and secondary scattering components is derived, and a space-time correlation function and Doppler power spectral density are calculated. And finally, establishing a joint path loss model: on the basis of the two-path fading model, introducing an additional attenuation factor related to the visibility of the sand and dust and the particle charge mass ratio, and determining specific parameters of the factor according to the grade of the sand and dust. According to the method, the channel characteristics can be accurately predicted, and theoretical support is provided for anti-interference design and link optimization of the millimeter wave communication system of the unmanned aerial vehicle.

The invention discloses a municipal pipe network leakage position identification method, and belongs to the technical field of municipal water supply engineering. Vibration sensors are arranged in a pipe network to collect leakage signals, multiple sub-band signals are obtained through band-pass filtering and wavelet packet decomposition, self-adaptive weights are calculated based on coherence coefficients of all sub-bands, and cross-correlation functions are subjected to weighted fusion to estimate time delay. Frequency domain phase compensation is applied to each sub-band according to the physical parameters of the pipeline to eliminate the dispersion effect, and then the correction time delay is recalculated, and then a pipe network topological graph is established, and a target function is constructed by using the time delay information of the multiple sensor pairs to perform global optimization to obtain a positioning result. And finally calculating a confidence index and a spatial uncertainty index to evaluate the positioning reliability. According to the method, the time delay estimation precision under a low signal-to-noise ratio is improved, systematic deviation caused by dispersion of a non-metal pipeline is eliminated, the problem of multi-solution positioning in a complex pipe network is solved, and quantitative reliable reference is provided for engineering decision making.

A calculation apparatus for calculating a correlation function from a structural model comprises a structural model acquiring section for acquiring the structural model including a plurality of types of atoms in space, an atomic species setting section for setting a specific atomic species in the structural model, and a correlation function calculating section for calculating the correlation function that is a ratio between a first radial distribution function and a second radial distribution function, wherein the first radial distribution function is a radial distribution function between atoms of the specific atomic species and atoms of the specific atomic species, and the second radial distribution function is a radial distribution function between atoms of the specific atomic species and atoms of two or more types of atomic species including the specific atomic species.

The application relates to the technical field of physical quantity measurement, and discloses a multi-physical quantity measurement method and device of a passive multi-quantity optical fiber sensing unit, which synchronously collects temperature, humidity, air pressure and tilt angle four-quantity optical signals, and quantifies the quantity coupling strength and the causal conduction time delay by real-time calculation of a timing cross correlation function; an initial weighted causal graph is constructed based on the timing causal index, a chain enhancement path is automatically detected, an initial abnormal node is located and a subsequent fault probability is iteratively predicted; then, a dynamic arrow chain is drawn along the enhancement path in a three-dimensional digital twin model starting from the initial abnormal node, and is rendered according to the fault probability; the application converts discrete multi-physical quantity abnormal signals into a topological and visual causal chain, realizes full-link transparent mapping of an abnormal source-propagation path-potential fault node, and significantly improves the prediction accuracy of the evolution trend of a complex structure state and the timeliness of operation and maintenance decisions.

The invention provides a wide-field magnetic field imaging method based on sparse sampling and Bayesian estimation, and belongs to the field of magnetic field imaging. The method comprises the following steps: constructing an NV color center system, measuring and recording information of a magnetic field to be measured; selecting a small number of discrete sampling points to measure magnetic field intensity data in an imaging field of view of a measured area; the method comprises the following steps of: constructing an error correlation function among pixel points in a measured area, establishing a Bayesian estimation model, and predicting the magnetic field intensity of unmeasured pixel points in a full field of view by taking magnetic field intensity data of a small number of discrete sampling points as observed quantity to obtain a preliminarily reconstructed magnetic field distribution image; selecting a plurality of reference points in the measured area, acquiring nominal magnetic field values and actually measured magnetic field values of the reference points, and calibrating the preliminarily reconstructed magnetic field distribution image by adopting a mean value proportion correction mode; on the premise that the number of sampling points is greatly reduced, magnetic field distribution reconstruction with high spatial resolution and high structural similarity is achieved, and therefore imaging efficiency and reliability are improved.

This invention discloses an inversion method for S-wave velocity structure based on dense micromotion observations, belonging to the field of geophysical exploration and engineering geological exploration technology. The method includes: acquiring micromotion data; performing segmented preprocessing and cross-correlation calculations; constructing a phase consistency metric function based on the instantaneous phase information of the cross-correlation function for each time period; generating adaptive weighting coefficients; and then constructing an empirical Green's function through weighted superposition. Subsequently, time-frequency analysis is performed to obtain a time-frequency energy map; preliminary extraction of candidate dispersion velocities for each frequency is performed, and their comprehensive confidence level is calculated; after verification, a reliable dispersion curve is obtained. Based on the dispersion curve, a model parameter vector is established, and a joint objective function is constructed. A differential evolution algorithm is used for parallel global optimization inversion to obtain a one-dimensional S-wave velocity structure model below each station pair. The one-dimensional models are interpolated and fused to generate a two-dimensional S-wave velocity structure profile. This invention has the advantages of high inversion stability, high computational efficiency, and a high degree of automation.

This invention provides a structural monitoring device that can estimate the natural frequency of a structure even when using data obtained from low-precision sensors. [Solution] The present invention includes: a first control means that extracts acceleration in two directions from orthogonal acceleration data of two or more dimensions obtained by measuring a vibration waveform and determines a correlation function for each frequency component; a second control means that detects peaks from the correlation of the correlation function and determines the peak frequency and peak height for each peak; a third control means that detects peaks appearing in the frequency spectrum obtained based on the acceleration data and determines information about the peak, including the peak frequency and peak height, for each peak; and a fourth control means that finds the peak on the frequency spectrum closest to the peak frequency of the correlation function and estimates and outputs a candidate natural frequency as a natural frequency.

A method for detecting an underground cavity by using an irregular three-dimensional array belongs to the technical field of underground detection, and is characterized in that a plurality of high-sensitivity digital seismographs are utilized, a detection area is well covered with a ray path, and each digital seismograph collects irregular micro-amplitude vibration information of the surface of the detection area all the time; a surface wave signal is extracted from micro-amplitude vibration information, then a cross-correlation function between digital seismometers is obtained through background noise cross-correlation calculation and superposition, and a Rayleigh wave phase velocity frequency dispersion curve is obtained based on a multiple filtering and extended space autocorrelation (ESPAC) method. And finally, inverting a three-dimensional phase velocity structure below the detection area based on the frequency dispersion curve of each grid node, and performing two-dimensional or three-dimensional mapping display on an inversion calculation result through mapping software. The method is simple in field work operation, flexible in laying according to field conditions, simple and rapid in data processing flow and mature in algorithm, and can rapidly and accurately position the underground cavity position.

The invention relates to a technical stage device (1), comprising a fastening element (2), a bearing element (3) and a functional element (4), in particular a camera or a spotlight, wherein the functional element (4) is arranged on the bearing element (3) so as to be pivotable about a tilt axis (14) and wherein the bearing element (3) is arranged on the fastening element (2) so as to be rotatable about a pan axis (13), wherein a position determination arrangement is provided, which is designed in such a way that a relative movement between the bearing element (3) and the fastening element (2) as well as between the bearing element (3) and the functional element (4) can be determined. Further, the invention relates to a method for determining the correlation function of predetermined tilt and pan values of a functional value (4), in particular a camera or a spotlight, to absolute motion values of the functional element (4).

The application provides a minimum information entropy criterion-based adaptive window length time-frequency transform algorithm, comprising: obtaining an input signal sequence, and calculating a correlation function of the signal; summing the correlation function to obtain S; setting multiple thresholds based on S; searching a peak width of the correlation function according to the thresholds to obtain the peak width corresponding to each threshold; taking the peak width corresponding to each threshold as a window length, calculating a time-frequency transform of the signal to obtain a plurality of time-frequency spectrums; calculating information entropy of the plurality of time-frequency spectrums respectively; selecting a minimum value in the information entropy; and taking a time-frequency spectrum corresponding to the minimum value as a time-frequency transform result. The window length can be adaptively adjusted, a time-frequency spectrum graph with better energy focusing performance is obtained, and more accurate extraction of signal components is realized.

This application relates to an OTFS high-precision Doppler frequency estimation method, apparatus, and device. The method includes: at the receiving end, recovering the same received signal based on the upper boundary parameter value, center point parameter value, and lower boundary parameter value of the Doppler frequency search unit; calculating the cross-correlation function between the recovered received signal and the transmitted signal; performing a coarse Doppler frequency estimate based on the cross-correlation function of the recovered received signal and the transmitted signal using the center point parameter value; inputting the obtained coarse Doppler frequency estimate into a PN code-based red-blue frequency shift discriminator for frequency shift discrimination; and performing a red-shift or blue-shift correction on the coarse Doppler frequency estimate based on the cross-correlation function of the recovered received signal and the transmitted signal using the upper and lower boundary parameter values ​​to obtain the final Doppler frequency estimation result. This method can reduce the computational complexity of Doppler frequency estimation without affecting its accuracy.

This invention belongs to the field of furnace temperature control technology, specifically relating to an intelligent temperature control method and system for medical glass furnaces. The method includes: collecting furnace temperature and power data; calculating the standard deviations of temperature and power; obtaining a stability index; and determining the coupling change time based on the stability index. At the coupling change time, the offset is determined using a time-delay cross-correlation function, and a coupling correlation matrix is ​​constructed. Finally, the adjustment vector is solved based on the power control vector output by the PID controller and the correlation matrix to obtain the power setpoint of the heating unit for decoupling control. This invention solves the control mismatch problem caused by the cross-influence of operating condition changes and control loops by dynamically constructing the correlation matrix and performing decoupling control, thus improving the stability and accuracy of temperature control.

The invention discloses a positioning method based on shore-based sonar and triple iteration estimation, and the method comprises the steps: processing a mixed signal which is received by a positioning target and comprises broadband linear frequency modulation signals transmitted by each shore-based sonar, obtaining a cross-correlation function with a sharp peak value, determining a time difference through peak value detection, and carrying out the calculation of the time difference. The distance difference is converted into a distance difference measurement value; solving a first position estimation value according to depth information of a positioning target, a shore-based sonar coordinate and a distance difference, constructing a quadratic error equation based on the first estimation value, solving a second position estimation value and a rough estimation value, carrying out differential expansion and optimal weighted estimation correction on the rough estimation value to obtain a third position estimation value, and iterating the third position estimation value to obtain a second position estimation value; and the three-dimensional coordinates of the positioning target are determined based on the third position estimation value iteration result and the depth information, so that high-precision and low-cost self-positioning of the positioning target can be realized, and the accuracy of the positioning result is improved.

The application provides a background noise high-order surface wave dispersion extraction method, and belongs to the technical field of seismology. The method first calculates the cross-correlation function of continuous noise data and performs preprocessing to obtain an original dispersion energy spectrum; then a reference phase shift curve between the energy of the base order and the first high-order mode is extracted; the cross-correlation function is phase-shifted based on the curve, so that the base order and the high-order surface wave are separated in time, the high-order part at the negative time is retained and inverse phase shift is performed, and a cross-correlation function containing only the high-order surface wave is obtained; then the high-order surface wave dispersion energy spectrum is obtained through frequency-Bessel transformation, and is spliced with the base order part in the original spectrum to form an enhanced dispersion energy spectrum; finally, the base order and the high-order dispersion curves are extracted after quality control. The application can effectively suppress the interference of the base order sidelobe on the high-order mode, and significantly improve the continuity and signal-to-noise ratio of the high-order surface wave dispersion energy.

The invention relates to the technical field of information security, and discloses a multi-point recording interference method and system, and the method comprises the steps: obtaining environment information, and determining a basic interference volume according to the environment information; acquiring a sound source-node distance vector and sound field uniformity, and converting the sound source-node distance vector and the sound field uniformity into a spatial distribution coefficient; acquiring a voice initial instantaneous slope and an interference-voice cross-correlation function peak value, and converting the slope and the peak value into a dynamic response coefficient; receiving a target voice, obtaining the spectral characteristics and the voice spectrum centroid of the target voice, and converting the spectral characteristics and the voice spectrum centroid into a spectral efficiency coefficient; reading the basic interference volume, the spatial distribution coefficient, the dynamic response coefficient and the spectral efficiency coefficient, and generating an adjustment instruction; according to the invention, through collaborative analysis of the environment reference coefficient, the spatial distribution coefficient, the dynamic response coefficient and the spectrum efficiency coefficient, multi-dimensional adaptive matching of the interference volume and the environment state, the spatial layout, the voice dynamic characteristic and the spectrum characteristic is realized, and the flexibility is extremely high.

FIELD: measuring equipment.SUBSTANCE: invention relates to a device for determining wind parameters. The wind parameter determinator comprises a control and signal processing unit (1), as well as an optical-electronic module (2). The control and signal processing unit (1) includes an analogue-to-digital converter (13) and a module (14) for calculating correlation functions between signals. The optical-electronic module (2) includes three photodetectors (8) with signal amplification units (11), amplitude detection units (12), as well as an optical system (4) with a variable focal length, a diaphragm unit (7), an amplitude modulator (5) of the intensity of the background radiation flux with a reference modulation frequency.EFFECT: increase in the sensitivity of the device.1 cl, 1 dwg

A method and an apparatus for transmitting a physical layer protocol data unit (PPDU) are provided. The method includes: generating a synchronization header field based on a first sequence or a third sequence, where a side lobe of a periodic cross-correlation function of the first sequence and a second sequence is a constant value, the first sequence is a binary sequence consisting of 1 and 0, the second sequence is a binary phase shift keying sequence corresponding to the first sequence, a side lobe of a periodic autocorrelation function of the third sequence is a constant value, and the third sequence is a binary phase shift keying sequence consisting of 1 and −1; and sending the PPDU on a target channel, where the PPDU includes the synchronization header field.

The application provides a complementary environment self-adaptive weighted image augmentation method. The method comprises the following steps: firstly, the brightness, contrast and saturation of a camera snapshot picture are parameterized; the light environment and the definition are analyzed, the data is normalized and is processed in grades, the obtained image parameters are substituted into a correlation function to calculate the image parameter gain weight, and another form of optimization augmentation is obtained by using shearing, rotating and translating to change the visual angle state; then, the two forms of optimization augmentation are combined to obtain the augmentation parameters of the picture, and the parameters are reversely converted to finally obtain the picture under various environment states. The method is simple in process and high in efficiency, and is a very promising method for assisting in improving the target recognition accuracy.

A kind of operating condition under rotating electric machine inherent frequency calculation method discloses a kind of operating condition under rotating electric machine inherent frequency acquisition method, belong to motor structure modal parameter online identification technical field.Method includes: in stator tooth portion uniform distribution N≥4 one-way vibration sensor;Motor is under load and vibration signal is synchronously collected;Signal zero-phase band-pass filtering;The correlation function of reference point and response point is calculated, and complex modal modeling is complex exponential series;Through single-sided mutual power spectrum transformation and multiple starting time sampling matrix equation is constructed, coefficient vector is obtained by SVD solution;Root is sought by coefficient and constructs characteristic polynomial, mapping obtains system continuous pole, and then simultaneously output inherent frequency and damping ratio.The whole process does not need to stop, does not need to add excitation, noise resistance is strong, frequency identification error is less than 1%, provides modal data under real boundary condition for motor NVH optimization and structural modification.