64 results about "Oscillatory waves" patented technology

The invention provides a family blood pressure measurement and identity recognition system and method based on oscillatory wave characteristics, and relates to the technical field of household medical equipment. The method comprises the following steps: firstly, acquiring original oscillatory wave signals during blood pressure measurement, judging whether the signals are available or not, further fusing time domain and frequency domain features to perform quality evaluation on available oscillatory wave signals, and screening high-quality signals; filtering and noise reduction preprocessing is carried out on the oscillatory wave signals with good quality; then respectively extracting time domain, frequency domain and time-frequency joint features from the preprocessed oscillatory wave signal to obtain multi-index features of the oscillatory wave signal; carrying out standardization processing and unsupervised feature fusion on the multi-index feature data; finally, non-invasive blood pressure measurement and identity recognition are completed. According to the method, the oscillation wave signals are subjected to fusion analysis according to the multi-index characteristics, non-invasive blood pressure measurement is achieved, the accuracy and calculation efficiency of identity recognition are enhanced, historical blood pressure measurement results of fixed members are conveniently stored, and a family blood pressure monitoring system is constructed.

The invention discloses a spectral analysis-based sea surface wave model construction method and system, and the method comprises the steps: carrying out the grid division of a sea surface, calculating parameters for each grid of the sea surface, and building a gravity wave model, a surge model and a shockwave model for the whole sea surface; obtaining a gravity waveform height amplitude according to the gravity wave model, obtaining a surge waveform height amplitude according to the surge model, and obtaining a shock wave height amplitude according to the established shock wave model; superposing the gravity waveform height amplitude, the surge waveform height amplitude and the shockwave height amplitude, and carrying out inverse fast Fourier transform on the superposed amplitudes to calculate a sea surface waveform height spectrum which changes along with time in an airspace within a certain range; and constructing a sea surface wave geometric model in an STL format according to the sea surface waveform height spectrum changing along with time in the airspace in a certain range. According to the invention, the authenticity and accuracy of simulation are improved.

The invention discloses an offshore wind power typical fault transient waveform rapid simulation method and system, and relates to the technical field of offshore wind power unit grid connection and power grid fault simulation, and the method comprises the steps: obtaining an original typical fault voltage transient waveform at an offshore wind power unit grid connection point; a wavelet analysis method is adopted to carry out filtering processing on the fault voltage transient waveform, decomposition is carried out to obtain an approximate signal and a detail signal, a fundamental wave and a main oscillation waveform in the detail signal are extracted, an RLC second-order fault simulation circuit is established, waveform superposition is carried out to form a reconstructed waveform, a reconstructed waveform analytic expression is obtained, and fault transient characteristic parameters needing to be solved are determined; preliminarily fitting the initial values of the characteristic parameters, and iteratively solving the final values of the characteristic parameters by adopting a nonlinear least square method; fitting and solving equivalent line parameter values in combination with a fault feature expression; and substituting the waveform into a fault simulation circuit, and carrying out analog simulation to generate a reproduction waveform. According to the method, the typical fault transient waveform of offshore wind power can be rapidly and accurately reproduced.

The invention discloses a cable partial discharge analysis method and device based on oscillatory waves. The method comprises the steps that the oscillatory waves are applied to a tested cable, and low-frequency envelopes and high-frequency pulses are synchronously collected; performing structure normalization according to cable parameters; encoding the environment and working condition data into a condition vector to implement condition normalization; carrying out domain self-adaptive alignment with an ideal template clustered according to a model, a length and a joint / terminal type, and obtaining a difference feature; constructing a PRPD joint fingerprint, and counting a pulse phase, an amplitude, an envelope attenuation rate and / or an equivalent Q; outputting defect positions, types and confidence intervals based on the difference features and the joint fingerprints; and adaptively determining multi-gear upper pressure and advanced shutdown according to the information gain, and generating maintenance priority and retest interval suggestions. Through step-by-step normalization processing, domain adaptive alignment and fusion of PRPD combined fingerprint features, diagnosis stability and reproducibility are enhanced, weak discharge and early defect detection capability are enhanced, and complex working conditions and cross-trigger adaptability are enhanced.

The invention discloses a cable partial discharge positioning device based on oscillatory waves, and the device employs a signal processing algorithm based on artificial intelligence to carry out the waveform semantic analysis of an oscillatory wave measured signal and an ideal analog oscillatory wave signal based on a twinborn feature extraction technology, so as to capture the signal waveform semantics of the two signals. And spatial feature constraint enhancement expression and feature difference calculation are performed on signal waveform semantics of the two signals, so that waveform semantic comparison analysis between the oscillation wave actual measurement signal and the ideal simulation oscillation wave signal is realized, defect positioning is performed, and positioning data of cable partial discharge are generated. Therefore, the intelligent level of the cable partial discharge positioning device can be improved, which is of great significance for preventing cable faults and guaranteeing safe and stable operation of a power system.

The invention discloses a rapid measurement method, device and equipment for ambulatory blood pressure monitoring and a medium. The method comprises the steps that oscillatory wave signals are collected, pulse wave data of two adjacent times of measurement are obtained, and the pulse wave data of the two adjacent times of measurement comprise the currently measured pulse wave data and the pulse wave data of the previous time of measurement; judging whether a cuff deflation condition is met or not according to the pulse wave data of the two adjacent times of measurement, wherein the cuff deflation condition comprises a time interval of the two adjacent times of detection, a heart rate difference value of the two adjacent times of detection, the maximum pulse wave similarity of the two adjacent times of detection and whether a fitting curve of the two adjacent times of detection meets a preset condition or not; if the cuff deflation condition is met, the cuff is controlled to deflate, and the blood pressure value is output according to the currently measured pulse wave data. According to the invention, the collection time can be reduced, and emotion interference to the user due to long collection time is avoided.

The invention provides a blood pressure measurement system and method based on oscillatory wave and PPG signal collaborative learning, and relates to the technical field of wearable medical health monitoring. According to the method, the advantages of the CNN in local feature extraction, the Transform in time sequence modeling and the PPG signal in assisting blood pressure prediction are brought into full play, and the accuracy of blood pressure estimation can be remarkably improved. Complex features are automatically extracted through deep learning, dependence on manual feature engineering is reduced, traditional machine learning is adopted, model interpretation is enhanced, and the precision and robustness of blood pressure estimation are improved by combining the advantages of the two. The method is wide in applicability, can be applied to various scenes such as family health monitoring, clinical monitoring and wearable equipment, adopts multi-task learning, can predict systolic pressure and diastolic pressure at the same time, and shares a feature extraction network. Moreover, the algorithm is a lightweight algorithm, can be deployed on wearable equipment to realize low-power-consumption and high-efficiency real-time blood pressure estimation, and provides powerful support for health monitoring.

The invention relates to the technical field of air-core reactors, and particularly provides an intelligent analysis method and system for partial discharge detection signals of a reactor, and the method comprises the steps: collecting detection signals generated by a to-be-detected air-core reactor based on oscillatory waves, and the detection signals comprise an ultrasonic signal, a pulse voltage signal, a pulse current signal and an ultrahigh frequency signal; generating waveform data for the detection signal, and capturing an abnormal signal from the waveform data; and matching the abnormal signal with a preset discharge evaluation rule, and if the abnormal signal is matched with the preset discharge evaluation rule, determining that a partial discharge phenomenon occurs. According to the method, the partial discharge phenomenon can be comprehensively represented, and the automation degree and the processing efficiency of detection are improved.

The invention provides a blood pressure measurement system and method for identifying oscillatory wave characteristics by using an elastic template method, and relates to the technical field of wearable medical health monitoring, the blood pressure measurement system comprises a pressure control module, a data preprocessing module, a data quality evaluation module and a waveform analysis and matching module; the method comprises the following steps: acquiring cuff pressure control and an original oscillation wave signal of a to-be-identified sample, and preprocessing the acquired original oscillation wave signal; then carrying out quality evaluation on the preprocessed oscillatory waves, wherein the quality evaluation comprises data quality evaluation of the oscillatory waves and data quality evaluation related to inflation and deflation blood pressure measurement; and finally, performing blood pressure estimation based on a dynamic time warping (DTW) algorithm, fusing an amplitude coefficient method in an oscillography, oscillatory waves and changes of characteristic wave bands of the oscillatory waves, and estimating the blood pressure based on a waveform template matching method.

The invention discloses a three-phase transformer winding top deformation diagnosis method based on high-voltage oscillation wave detection, and relates to the field of transformer safety guarantee and fault diagnosis. Firstly, a mechanical device for controlling deformation enables the top of a winding of a transformer to generate deformation of different degrees, and deformation of the winding of the transformer is simulated. And the high-voltage oscillatory wave test device is further used to obtain oscillatory wave test curves under different fault degrees. Finally, according to the diagnosis method based on the high-voltage oscillatory waves, normalization processing is carried out on transformer winding oscillatory wave time sequence signals through a normal cumulative distribution function, a time sequence is mapped to a discrete symbol sequence, then the entropy value of the symbol sequence is calculated through a fuzzy membership function, and the high-voltage oscillatory waves are obtained. The method can effectively reflect the irregularity and complexity of the signal. The deformation fault of the three-phase power transformer can be safely and efficiently detected and diagnosed, and a guarantee is provided for power transmission safety.

The invention discloses a transformer winding omni-directional buckling deformation simulation device and an oscillatory wave analysis method thereof. Firstly, buckling deformation faults of different positions and different degrees of a transformer winding are simulated by using a cascade compression lifting cylinder and a controllable magnetic energy induction device, then oscillatory wave curve data of the winding in a normal state and different fault states are obtained by using a high-frequency oscillatory wave test system, and then multi-stage reconstruction processing is performed on an original oscillatory wave curve. Whether the winding breaks down or not is judged by calculating the extreme value offset degree Qe, after it is determined that the winding breaks down, the fault position of the winding is judged by calculating the maximum value eccentricity Qx, and meanwhile the fault degree of the winding is judged by calculating the minimum value eccentricity Qy. Omnibearing buckling deformation of the transformer winding can be effectively simulated, high-efficiency diagnosis of the winding state can be realized by using the characteristic parameters of the oscillatory waves, and reference is provided for engineering practice.

The invention relates to the technical field of equipment control, and discloses a control method of a wave conduction health care instrument capable of outputting different waveforms based on symptoms, and the method comprises the steps: transmitting a 1-10MHz multi-frequency detection wave to a target treatment area, calculating tissue impedance distribution through a reflected wave, and obtaining a focus boundary coordinate based on an impedance difference threshold; on the basis of the impedance-frequency response curve, an inverse phase compensation waveform is generated through a time reversal algorithm, the inverse phase compensation waveform comprises a phase delay component in negative correlation with the impedance curve, and tissue scattering distortion is counteracted; synchronously starting the electrical stimulation module and the ultrasonic module; the focus coordinates are repeatedly updated every 30 seconds, and the electrical stimulation focusing position is adjusted; the concentration of lactic acid and the concentration of prostaglandin E2 in tissue fluid are detected in real time through a microfluidic sensor, and correction is triggered when any concentration exceeds the limit, specifically, lactic acid ultralimit switching electrical stimulation is 50-100 Hz damped oscillatory waves (larger than or equal to 5 minutes), prostaglandin E2 ultralimit switching ultrasound is in a pulse mode, and the electrical stimulation amplitude is increased. The treatment effect of the waveform treatment equipment can be improved.

The utility model provides a cable oscillatory wave partial discharge three-in-one detection device, which comprises a first base, a second base, a shockwave main device, a detection mechanism and a compensation capacitor, the left side of the top end of the first base is fixedly connected with a controller, and the middle of the top end of the first base is fixedly connected with the shockwave main device. The front end of the shockwave main device is fixedly connected with a control mainboard, the right side of the top end of the first base is fixedly connected with a compensation capacitor, the right side of the first base is fixedly connected with a second base, the top end of the second base is fixedly connected with a detection mechanism, and the shockwave main device, the compensation capacitor and the detection mechanism are integrated on the first base and the second base. The three-in-one detection device is formed, multiple functions are integrated, operation and carrying are convenient, the occupied space of equipment is reduced, a first sliding rail, a second sliding rail, a matched T-shaped plate, a connecting plate and other parts are arranged in the detection mechanism, the positions of a connector and an extrusion plate can be flexibly adjusted, the detection device adapts to detection of cables of different specifications, and the universality of the device is improved.

The invention provides a blood pressure measurement system and method based on oscillatory wave intelligent simplification and transmission, and relates to the technical field of wearable medical health monitoring. Comprising a pressure sensing module, a data preprocessing module, a signal quality evaluation module, a waveform simplification module, an availability evaluation module and an information processing module. The method comprises the following steps: continuously acquiring cuff pressure data on an arm of a user in real time through a cuff pressure sensor, acquiring real-time cuff pressure, and acquiring a real-time value of cuff pressure oscillatory waves; an air pressure sensor is arranged on an air pipe of a sphygmomanometer cuff, a voltage comparator is additionally arranged in the air pressure sensor to monitor the pressure change in the cuff, a serial port chip converts data transmitted by a chip SOC and serial port data mutually, and through a 4G / 5G antenna, a GPS / GNSS antenna and an identity recognition module which are integrated, the pressure change in the cuff is monitored. Transmitting the output simplified oscillation wave waveform signal, the cuff pressure signal, the real-time position information and the personal information of the testee to a health cloud system, and establishing a personal blood pressure monitoring database.

The application relates to a kind of pneumatic buffering and energy recycling mechanism and its control method, it includes wave energy conversion device, oscillating buoy, pneumatic cylinder, gas interaction device, gas storage tank and for control system, wave energy conversion device is arranged on offshore platform, the upper end of oscillating buoy is fixedly connected with the lower end of wave energy conversion device, the upper end of wave energy conversion device is connected with pneumatic cylinder, gas interaction device is arranged between pneumatic cylinder and gas storage tank, gas interaction device is communicated with pneumatic cylinder and gas storage tank.The application in actual use, oscillating buoy oscillates up and down under the action of wave, wave energy conversion device converts the mechanical energy of oscillating buoy into electric energy;Control gas interaction device adjusts airflow direction, when wave is too large, gas storage tank and pneumatic cylinder provide force in the opposite direction of oscillating buoy movement, realize the function of buffering, when small wave, give oscillating buoy the same force in the direction of movement, improve power generation efficiency, help to solve the problem of unstable energy recovery efficiency.

The present invention discloses a method for evaluating the dielectric loss factor of power equipment under the action of an oscillating wave high voltage, which is applied to the field of high voltage test technology. In addition to evaluating the oscillating wave voltage information in the traditional dielectric loss factor evaluation method, the oscillating wave current is evaluated. Through mathematical deduction, a mathematical expression for the relationship between the dielectric loss factor and the oscillating wave voltage and current waveform parameters is obtained; based on an algorithm combining phase-shifted fast Fourier transform and nonlinear least squares method, the oscillating wave voltage and current sequence is processed to obtain waveform parameter estimates, and then an estimated value of the dielectric loss factor is obtained. The dielectric loss factor evaluation algorithm of the present invention has good anti-noise interference capabilities, and at the same time, the dielectric loss factor estimation accuracy is high.

An ultrasonic transducer configured to selectively operate at a first resonant frequency or a second resonant frequency during a wire bonding operation, comprising: an elongated transducer body having an aperture thereon for mounting a piezoelectric driver stack to drive the ultrasonic transducer to operate at the first or second resonant frequency; and a mounting flange connected to the transducer body at a first nodal vibration region of the transducer body when the ultrasonic transducer is operating at the first resonant frequency. The length of the elongated transducer body is substantially equal to two wavelengths of a first oscillatory wave transmitted along the length of the transducer body when the transducer is operating at the first resonant frequency, and substantially equal to one-half wavelength of a second oscillatory wave transmitted along the length of the transducer body when the transducer is operating at the second resonant frequency.

An isolation chip assembly includes an isolation chip (10), first oscillators (20), and second oscillators (30). The isolation chip (10) includes a sample reservoir (13), a first filtration membrane (14) and a second filtration membrane (16) at opposite sides of the sample reservoir (13). The first oscillators (20) are mounted on the first filtration membrane (14) and the second filtration membrane (16), and can generate a first oscillation wave when operating. The second oscillators (30) are mounted on outer surfaces of the first chamber (15) and the second chamber (17), and can generate a second oscillation wave when operating. A frequency of the first oscillation wave is greater than a frequency of the second oscillation wave, and an amplitude of the first oscillation wave is less than an amplitude of the second oscillation wave.

The invention provides a partial discharge detection device and method for a cable. The three-phase partial discharge detection device of the cable comprises an inversion module, a phase shift module, a switch module and a partial discharge detection module, the partial discharge detection module is connected with the first phase, the second phase and the third phase of the detected cable. The inversion module is used for generating a first phase PWM waveform based on the DC voltage; the phase shift module is used for performing phase adjustment on the first phase PWM waveform to obtain a second phase PWM waveform and a third phase PWM waveform; the switch module comprises a first phase switch, a second phase switch and a third phase switch; the PWM waveform is transmitted to the tested cable by controlling on and off of a switch in the switch module, so that oscillation wave voltage is generated on three phases of the tested cable. By means of the device, the partial discharge signals of the three-phase detected cable can be measured at the same time, and the partial discharge detection efficiency and accuracy of the cable are improved.

A wave park for an open or large body of water is disclosed. The wave park includes a body of water, and a track positioned in or proximate the body of water. The wave park further includes at least one foil coupled to move along the track, the at least one foil being at least partially submerged in the body of water. The at least one foil has a curvilinear cross-sectional geometry that includes a leading surface that is concave about a vertical axis to provide drag to generate a primary wave laterally in water of the body of water that contacts the leading surface of the foil, and a trailing surface that narrows from a maximum width of the foil adjacent the leading surface to a point at an end of the foil, the trailing surface to decrease the drag of the foil and to minimize oscillatory waves that trail the primary wave from the water moving past the leading surface of the foil.

The invention discloses a turn-to-turn insulation detection oscillatory wave signal prediction method based on an autoregression model, and the method comprises the steps: firstly, collecting oscillatory wave signal data in a turn-to-turn insulation detection process, and carrying out the sampling processing; then, modeling the data by using an autoregression model to obtain the autoregression model; calculating the value of an autoregression parameter through a related algorithm; and finally, predicting a future oscillatory wave signal by using the prediction model, and judging the turn-to-turn insulation state according to a prediction result.

The utility model provides an integrated high-frequency generator with adjustable frequency and intensity, a valve rod and a flow channel are arranged in a valve body, and a valve plate for opening and closing the flow channel is arranged at the tail end of the valve rod corresponding to the middle part of the flow channel; the high-frequency generating mechanism comprises a first driving mechanism which is in driving connection with the valve rod and controls opening and closing of the flow channel through the valve plate. The strength adjusting mechanism comprises a second driving mechanism and strength adjusting pieces, the second driving mechanism is in driving connection with the upper portion of the valve rod and used for adjusting the strength adjusting pieces by driving the valve rod to rotate in the circumferential direction, and the strength adjusting pieces are correspondingly arranged in the flow channel and on the valve plate. The high-frequency generating mechanism and the intensity adjusting mechanism are integrally arranged, the high-frequency generating mechanism is used for generating high-frequency oscillation waves for flowing cleaning media, the intensity adjusting mechanism is used for adjusting the intensity of the oscillation waves according to needs so as to adapt to different devices and the like, additional installation, line connection and the like are not needed, and use is more convenient and efficient.

The application discloses a kind of offshore wind power typical fault transient waveform fast simulation method and system, it is related to offshore wind turbine grid connection and power grid fault simulation technical field, including: obtaining the original typical fault voltage transient waveform at offshore wind turbine grid connection point;Wavelet analysis method is used to the fault voltage transient waveform is filtered and handled, and approximate signal and detail signal are obtained by decomposition, fundamental wave and main oscillation waveform in detail signal are extracted, RLC second-order fault simulation circuit is established, and reconstruction waveform is formed by waveform superposition, reconstruction waveform analytical expression is obtained, the fault transient characteristic parameter required to be solved is determined;The initial value of characteristic parameter is initially fitted, and the final value of characteristic parameter is iteratively solved using nonlinear least square method;Equivalent line parameter value is solved by fitting using fault characteristic expression;It is substituted into fault simulation circuit, and recurrence waveform is generated by simulation simulation.The application can quickly and accurately reproduce offshore wind power typical fault transient waveform.

The invention provides a mechanical transmission system of a vertical oscillation wave energy power generation device, which is characterized in that a wave energy acquisition and conversion device is mounted at the offshore bottom, and is used for capturing wave energy through vertical movement of a floater, transmitting the wave energy through a mechanical mechanism in the device and converting the movement of the floater into rotary movement of the mechanical mechanism; periodic speed fluctuation of the mechanical mechanism is adjusted through the flywheel speed adjusting mechanism, mechanical energy is converted into electric energy through the generator, and wave energy with smooth power is collected and utilized. According to the device, a mechanical electric energy conversion mode is adopted, oil pollution is avoided, the underwater part is of a totally-closed structure, and green, efficient and reliable renewable energy utilization is achieved.

The present application relates to a kind of GIS disconnecting switch mechanical state on-line evaluation method based on VFTC, comprising: obtaining the VFTC full process waveform generated in the process of switching on and off of GIS disconnecting switch when no fault, VFTC full process waveform is composed of multiple single breakdown oscillation waveform;The expectation and variance of the peak value of each single breakdown oscillation waveform when no fault are calculated based on Gaussian process regression model;The upper and lower threshold of the peak value of each single breakdown oscillation waveform is set based on the value of expectation and variance, the proportion of the number of the peak value of each single breakdown oscillation waveform of the equipment to be diagnosed in the corresponding upper and lower threshold range is counted, whether the equipment to be diagnosed produces fault is evaluated based on the proportion;It can realize the on-line monitoring of GIS disconnecting switch mechanical state without power, without periodic power-off disassembly calibration, save a lot of manpower and material resources, while various potential mechanical faults can be found in time, avoid its further development deterioration, guarantee the stable operation of GIS disconnecting switch and power system.

The application provides a system and method for estimating central arterial blood pressure by fusing cuff oscillatory waveform features, wherein the system comprises a signal acquisition module, an oscillatory wave amplification module, an oscillatory wave waveform feature analysis module, a pressure wave transit time calculation module, a central arterial blood pressure calculation module and a report output module. The system and method for estimating central arterial blood pressure by fusing cuff oscillatory waveform features can improve the individualized estimation accuracy of central arterial blood pressure by analyzing the waveform features of the cuff oscillatory wave and fusing the waveform features into the estimation of the pressure wave transit time.

The present application relates to a PSS parameter optimization method and device for a CPR1000 nuclear power unit, comprising: S1, establishing a PSS parameter adjustment model corresponding to an excitation system in the CPR1000 nuclear power unit, and establishing a waveform playback device according to the PSS parameter adjustment model, wherein the PSS parameter adjustment model is used to adjust the PSS parameter, and the waveform playback device is used to receive the PSS parameter and generate a corresponding waveform; S2, monitoring the working waveform of the excitation system to obtain measured oscillation waveform data when the excitation system oscillates; S3, inputting the measured oscillation waveform data to the waveform playback device, and adjusting the corresponding PSS parameter according to a preset rule through the PSS parameter adjustment model, so as to obtain a plurality of first waveforms corresponding to the waveform playback device; S4, obtaining the corresponding PSS parameter corresponding to the shaft torsional vibration suppression of the excitation system as the target PSS parameter according to the plurality of first waveforms. The present application can quickly obtain the PSS optimization parameter, and effectively reduce the response of the excitation regulator to the shaft torsional vibration.

A drum audio processing method and apparatus and an electronic drum. The method comprises: acquiring a digital audio signal and, on the basis of the digital audio signal, generating an oscillatory wave and a noise wave (102); modulating the oscillatory wave to obtain oscillatory wave parameters for controlling the pitch and the volume (104); modulating the noise wave to obtain noise wave parameters for controlling the timbre (106); and, on the basis of the oscillatory wave parameters and the noise wave parameters, performing sound effect processing in real time, and performing sound mixing output (108). Using the method and apparatus can perform sound effect processing and sound mixing output in real time, and accurately and dynamically output timbres that are very close to true timbres, and the tone quality does not depend on storage, and has a low delay.

In recent years, it is desired to further improve the responsiveness in the case of preventing the output voltage from decreasing. The present invention provides a power supply control device, comprising: a switch control unit for controlling the on and off of a switch element of a step-up chopper using an oscillation wave; a voltage acquisition unit for acquiring a DC output voltage corresponding to the output of the step-up chopper; and an oscillation control unit for reducing the change speed of the oscillation wave during at least a part of the period during which the switch element is turned on, in response to the decrease in the DC output voltage.

The invention discloses a noise evaluation method based on a high-voltage oscillatory wave transformer turn-to-turn insulation detection method, and the method comprises the steps: obtaining the oscillatory wave data of a transformer winding through a high-voltage oscillatory wave detection system, and firstly building a state space model of the process and measurement of a discrete time nonlinear system with non-zero average noise statistics; then, a maps estimator is introduced to estimate noise parameters; combining the measurement model with the state space model, and introducing a gradient algorithm; and finally, calculating the parameters of the noise estimator to provide a reference for denoising the high-voltage oscillation wave detection data, and improving the precision of the detection state.