151 results about "Amplitude ratio" patented technology

The invention relates to the technical field of fault detection, and discloses a diesel generating set fault detection method and system based on deep learning, and the method comprises the steps: obtaining first vibration signal data, and carrying out the time-frequency decomposition, and obtaining a dynamic change feature; de-noising processing is carried out on the dynamic change features to obtain a time-frequency feature sequence; extracting a peak energy distribution data set, and calculating each frequency band entropy value to obtain a frequency band entropy value sequence; classifying the frequency band entropy sequence, determining a random fluctuation reference mode, and separating to obtain an abnormal frequency component; calculating a spectral line spacing and amplitude ratio, obtaining a spectral line feature data set, classifying the spectral line feature data set, and determining a fault classification result; obtaining current second vibration signal data, performing similarity calculation on the current second vibration signal data and a pre-established normal mode library, and outputting a fault feature vector; and verifying the fault feature vector to obtain a final fault detection result. According to the method, closed-loop diagnosis from signal acquisition to fault classification can be realized, and the fault detection precision of the diesel generating set is improved.

The invention discloses a double-frequency anti-interference ultrasonic water meter and a metering method thereof, and relates to the technical field of fluid metering. A 500kHz sound velocity reference channel is constructed in a self-transmitting and self-receiving mode of a single transducer, the sound path length under solidified pure water is calibrated through a factory, the current water quality sound velocity is calculated in real time in a zero flow state, the zero offset of a 1MHz main channel is dynamically corrected, and a high-precision temperature sensor is omitted. Meanwhile, online water quality diagnosis is realized by utilizing a double-frequency cooperation mechanism: turbidity is quantized according to the amplitude ratio of 500kHz and 1MHz signals (based on the characteristics of high-frequency scattering sensitivity and high low-frequency penetrability), and bubbles are detected according to the time domain volatility of the 1MHz signals; and dynamically optimizing the flow metering precision of the main channel according to a diagnosis result by combining a sound velocity compensation model (the sound velocity is inversely proportional to the turbidity) and a graded bubble compensation model (the sound velocity or the flow is corrected according to the volatility). According to the method, medium interference is effectively overcome, measurement reliability is improved, and real-time monitoring and reporting of basic water quality (turbidity and bubbles) are achieved at low cost.

The invention discloses a single tank transportation risk early warning method and system based on an intelligent sensor, and relates to the technical field of risk early warning, and the method comprises the steps: collecting data in a single tank for preprocessing, employing a two-dimensional shallow water wave model to calculate liquid fluctuation, and generating iteration sequence data; applying a Hanning window function, calculating spectrum energy distribution according to the spectrum amplitude, extracting primary frequency and secondary frequency data, and calculating the amplitude ratio of the primary frequency to the secondary frequency; according to the method, through coupling of the continuity equation and the momentum equation, the height change and the velocity field distribution of the liquid can be comprehensively described, the dynamic behavior of the liquid in the single tank can be accurately reflected, the dynamic change of the liquid height gradient and the velocity field gradient is considered, and the complex liquid fluctuation phenomenon can be captured; a window function is applied to perform weighting processing on the data to weaken the weight of the data at two ends of the time sequence, so that the middle part of the data contributes more remarkably to the spectrum.

The invention relates to a large-span bridge flutter critical wind speed prediction method based on an L-P perturbation method. The method comprises the following steps that S1, physical characteristics and aerodynamic parameters of a bridge are obtained through a wind tunnel test to serve as basic data; s2, establishing a bridge motion control matrix equation based on modal displacement; s3, deriving an explicit solution of the modal frequency, the damping ratio and the modal characteristic of each modal branch based on an L-P perturbation method; s4, iteratively solving the modal frequency, directly solving the damping ratio, the amplitude ratio and the phase difference on the basis, observing the change of the modal damping ratio xi in each direction along with the wind speed U, and determining the flutter critical wind speed; the problems that an explicit closed solution of an existing three-degree-of-freedom flutter starting condition needs to carry out multiple times of iterative calculation on modal frequency, damping ratio and vibration mode, the influence of structural parameters and pneumatic parameters on pneumatic instability is difficult to clearly explain, and the flutter critical wind speed of a large-span bridge cannot be well predicted are solved.

The invention discloses a multi-parameter coupling detection method of an integrated optical sensor and related equipment. The detection method comprises the following steps: injecting different trace medicament combinations into a to-be-detected sample in a plurality of micro-fluidic sub-channels according to a preset time sequence; performing phase shift coding acquisition on the differential optical response signal, splitting a broadband light source into a plurality of wavelength subintervals, and generating a coded light signal with a preset phase shift amount; calculating a cross-correlation function between the channels, and performing signal amplification or suppression processing on the channel group with high coupling degree; multi-dimensional feature extraction is carried out, and the differential interference amount, the amplitude ratio and the phase synchronization degree between channels are calculated; baseline drift and noise distribution are monitored in a preset time window, and parameter adjustment is carried out; and performing self-learning evaluation on the detection data, updating identification model parameters, and generating a multi-parameter fingerprint spectrum. According to the technical scheme, the problems of signal aliasing and insufficient sensitivity in multi-parameter detection are effectively solved, and high-precision synchronous detection can be carried out on various target objects.

The invention belongs to the technical field of flow field optical measurement, and particularly relates to a high-enthalpy plasma gas temperature measurement method, system and device based on an absorption spectrum. Generating a composite modulation signal through a high-frequency sine wave and a low-frequency sawtooth wave, and enabling incident light to pass through a flow field measurement area in parallel through laser modulation and beam shaping; the detector receives the transmission light and converts the transmission light into an electric signal containing harmonic information, the signal acquisition device is used for performing signal acquisition, the phase-locked demodulation algorithm is used for extracting second harmonic, and the temperature is inversely deduced by combining the double-spectral-line temperature measurement method and the Fourier coefficient amplitude ratio of the second harmonic with the HITRAN database. The system comprises a signal driving module, a laser emission module, a detection acquisition module and a temperature measurement module. The device is composed of a signal generator, an in-phase adder and the like, and a laser is matched with a driving power supply to guarantee stable work. According to the scheme, aiming at the problems of weak signal absorption and insufficient signal-to-noise ratio under complex working conditions, the measurement accuracy and reliability are improved by composite modulation, harmonic extraction and a bispectral line algorithm, and an effective means is provided for research on thermal characteristics of the high-enthalpy plasma.

The invention discloses a current collection line single-phase earth fault distance measurement method, device and product, and the method comprises the steps: firstly obtaining a traveling wave signal of a target power transmission line, and extracting a traveling wave head signal in the traveling wave signal; then, multi-scale wavelet transformation is carried out on the traveling wave head signal, so that wavelet decomposition coefficients under different scales are obtained; then, the ratio of modulus maxima of the wavelet decomposition coefficients under the two specific frequency scales is calculated; therefore, based on the ratio, the frequency component amplitude ratio of the traveling wave head signal under the two specific frequencies can be determined; and finally, calculating the distance between the single-phase earth fault point and the traveling wave signal acquisition point according to the electrical parameters of the line and the amplitude ratio of the frequency component. Based on the fault distance, the specific position of the single-phase earth fault point on the line can be determined; therefore, compared with the prior art, the detection effect and the detection efficiency are improved, and the detection cost is reduced.

The invention discloses a dangerous rock collapse monitoring and early warning method and device based on MEMS sensing, and relates to the technical field of dangerous rock collapse monitoring and early warning. The method comprises the steps that MEMS sensing systems are fixed to a dangerous rock body and a bedrock body respectively, and vibration signals of the dangerous rock body and the bedrock body are obtained respectively; determining a bedrock vibration time-history curve and a dangerous rock vibration time-history curve, determining a frequency response function based on the bedrock vibration time-history curve and the dangerous rock vibration time-history curve, and determining the inherent frequency of the dangerous rock mass based on fitting of a theoretical amplitude amplification factor to the frequency response function; carrying out integral calculation on the two vibration time travel curves to obtain a root-mean-square velocity amplitude ratio; and on the basis of the inherent frequency of the dangerous rock mass and the amplitude ratio of the root-mean-square velocity, a double-dynamic index stability judgment model of the dangerous rock mass is constructed, the stability of the dangerous rock mass is judged, and graded early warning is performed according to a judgment result. According to the invention, the accuracy of collapse early warning and the timeliness of dangerous rock collapse early warning due to displacement monitoring can be improved.

The invention discloses an asymmetric coupling rigidity disturbance type MEMS modal localization accelerometer and a detection method. The accelerometer comprises an upper signal conversion layer and a lower glass substrate layer. The upper signal conversion layer comprises a sensitive mass block, a supporting structure and asymmetrical coupled resonator pairs which are symmetrically distributed. According to the asymmetric coupling resonator pair, a first type resonator and a second type resonator form a weak coupling system through electrostatic coupling, the first type resonator is fixed to a glass substrate layer through anchor points, the second type resonator is fixed to a sensitive mass block, and the first type resonator and the second type resonator meet the mass and rigidity asymmetric relation. When being subjected to the acceleration effect, the sensitive mass block generates micro displacement, changes the static coupling rigidity and triggers the modal localization effect, so that the amplitude ratio of the two resonators is changed, and acceleration measurement is realized by detecting the amplitude ratio change. By adopting the asymmetric structure, the sensitivity of the accelerometer is doubled compared with that of a symmetric structure, and meanwhile, the accelerometer has good linearity and anti-interference capability.

The invention discloses a power distribution network double-end traveling wave fault positioning method, device and equipment and a storage medium, and is used for solving the technical problem of low double-end traveling wave positioning accuracy. The method comprises the following steps: respectively collecting current traveling wave signals of two detection points; performing phase-mode transformation on the current traveling wave signal, and extracting a line-mode component as an input signal; decomposing an input signal into n limited bandwidth signals with different center frequencies; extracting the frequency spectrum of the limited bandwidth signal with the highest frequency, and extracting the main frequency of the current traveling wave signal collected at each detection point according to the frequency spectrum; selecting the maximum value of the main frequencies of the current traveling wave signals of the two detection points as an equivalent main frequency; calculating an amplitude attenuation coefficient of the current traveling wave signal by adopting the equivalent main frequency; respectively extracting signal component amplitudes of the two current traveling wave signals under the equivalent main frequency; calculating a double-end main frequency signal amplitude ratio of the amplitudes of the two signal components; and carrying out traveling wave fault positioning according to the amplitude ratio and the amplitude attenuation coefficient of the double-end main frequency signals.

The invention provides a phase generated carrier demodulation method based on two-parameter estimation. The method comprises the following steps of: firstly, realizing estimation of a C value by extracting an amplitude ratio of a carrier frequency multiplication component in an interference signal frequency spectrum and combining a Bessel function characteristic; then, carrying out operation processing by utilizing a first frequency multiplication signal and a second frequency multiplication signal to extract carrier phase delay theta c; and finally, eliminating the influence through dynamic phase compensation. According to the demodulation method provided by the invention, the nonlinear drift of the modulation depth parameter C and the synchronous estimation and compensation of the carrier phase disturbance signal theta c can be realized, the cross interference error in the traditional demodulation system is effectively inhibited, the phase demodulation robustness is remarkably improved, and the harmonic nonlinear distortion is effectively inhibited.

The invention provides a CEEMDAN-SSA-based power distribution network fault identification method, and the method comprises the steps: receiving a traveling wave signal of a power distribution network, and carrying out the preprocessing of the traveling wave signal; decomposing the preprocessed traveling wave signal by adopting CEEMDAN to obtain an intrinsic mode function component set, and selecting a high-frequency intrinsic mode function component from the intrinsic mode function component set; performing noise reduction on the high-frequency intrinsic mode function component by using singular spectrum analysis to obtain a pure fault feature signal; analyzing and reconstructing the frequency spectrum characteristics of the pure fault characteristic signal by using fast Fourier transform, and calculating the average frequency spectrum content of the low-frequency-band signal and the amplitude ratio of the high-frequency-band signal according to the frequency spectrum characteristics; and generating a fault identification result of the power distribution network by taking the average frequency spectrum content of the low-frequency-band signal as a main criterion and taking the amplitude proportion of the high-frequency-band signal as an auxiliary criterion according to the fault traveling wave transmission characteristics. Therefore, high-precision power distribution network fault identification can be realized in a complex working condition and a high-noise environment.

The invention provides an anti-noise interference frequency parameter estimation method for high-precision optical coherence ranging, which comprises the following steps: acquiring a spectral interference signal of an optical low-coherence interference system and a reference light spectral signal output only by a reference arm, and converting the spectral interference signal into interference signals with wave number space arranged at equal intervals, carrying out spectral density amplitude normalization to obtain a standard interference signal so as to eliminate interference of light source spectrum fluctuation and non-uniform sampling on frequency estimation; hanning window modulation is applied to a standard interference signal, spectrum leakage is suppressed, spectrum analysis is performed on the modulated signal, a peak value and an adjacent secondary peak value of a spectrum main lobe are extracted, a frequency correction amount is calculated based on a peak value and secondary peak value amplitude ratio relation derived by a Hanning window spectrum mode function, and an accurate frequency of the interference signal is obtained; and calculating the displacement of the object to be measured according to the product of the accurate frequency and the spectral resolution of the optical low-coherence interference system in combination with the refractive index of the light in the measurement medium.

To provide a method and system for identifying water-wet conditions that can easily identify the water-wet conditions inside an exterior wall of a building.SOLUTION: A calculation device 4 of an identification system 10 includes an amplitude ratio and phase difference calculation unit 4A that calculates the amplitude ratio and phase difference of a reflected wave received for each partitioned area, a cluster analysis unit 4B that performs cluster analysis to classify each partitioned area into clusters of whether or not it is water-wetted using the amplitude ratio and phase difference at each frequency, and a water-wet identification unit 4C that identifies whether or not each partitioned area is a partitioned area corresponding to water-wet based on classification results. Seven different frequencies are (1) 9.5 to 9.7 GHz, (2) 9.9 to 10.1 GHz, (3) 10.3 to 10.5 GHz, (4) 10.7 to 10.9 GHz, (5) 11.1 to 11.3 GHz, (6) 11.5 to 11.7 GHz, and (7) 11.9 to 12.1 GHz.SELECTED DRAWING: Figure 2

The invention relates to the technical field of wireless communication, in particular to a satellite single-mixed signal identification method based on multi-feature fusion, and the method specifically comprises the following steps: 1, carrying out the down-conversion, timing sampling and conjugate difference preprocessing of a signal; 2, calculating a characteristic parameter LNsr of the number of relative prominence spectral lines of a signal square spectrum after preprocessing; step 3, calculating Shannon entropy characteristic parameters H2x and H4x of the power energy spectrum of the preprocessed signal; 4, high-order cumulant characteristic parameters F1x, F2y and F3y of the preprocessed signals are calculated; 5, according to the characteristic parameters LNsr, H2x, H4x, F1x, F2y and F3y, threshold values are set to identify the satellite single-mixed signals; according to the invention, effective identification of satellite signals including PCMA signals under the conditions of low signal-to-noise ratio, certain amplitude ratio range and existence of frequency offset influence is realized.

The present invention discloses a method for optimizing the layout of multi-modal vibration sensors on a wind tunnel tail strut, including: establishing a finite element model of the tail strut including the wind tunnel test model and the balance, performing modal analysis to determine the vibration modal orders to be monitored; arranging n vibration sensors along the axis direction of the strut. According to the vibration modal orders to be monitored, the tail strut is excited by a bandwidth random signal, and the vibration modal frequencies of the corresponding tail strut structure are extracted; the tail strut is excited by a sine wave of each modal vibration frequency respectively, the amplitude ratio sequence of the vibration sensors relative to the excitation signal is recorded, and the amplitude ratio sequences of multiple orders of modes are assembled to form a mode shape matrix; the sensor layout optimization criterion is used as the fitness function for the position layout of the sensors, and the optimal installation position layout of the sensors is solved. The present invention uses the optimization criterion to maximize the observation ability of the vibration modal set and minimize the linear correlation between the modal vectors, realizing the optimal position layout of the sensors.

The invention belongs to the technical field of chemical pump set fault early warning, and particularly provides a chemical pump set fault early warning method, system and device based on big data, and the method mainly comprises the steps: obtaining the axial vibration waveform and inlet and outlet pressure difference of a chemical pump set; calculating a peak ratio and a zero offset index of each section of signal; calculating a waveform slope accumulated value of the axial vibration waveform by adopting a specified window width; generating a two-dimensional state vector containing the shaft system unbalance degree and the sealing failure probability; generating joint features of the main frequency amplitude ratio and the phase difference distribution; and processing the inlet and outlet pressure difference and the two-dimensional state vector by adopting a double-flow random forest model, and outputting an early warning result. According to the method, the mechanical vibration and the fluid pressure signals are fused, the dynamic features are extracted, the cross-modal association rule is quantified, hidden fault recognition is enhanced through shunt processing and feature crossing, the misjudgment risk can be reduced, accurate early warning is achieved in combination with dynamic modeling, sudden shutdown and leakage accidents are avoided, and equipment safety and production continuity are improved.

The invention relates to the technical field of seismic exploration, in particular to a method for determining structural parameters and sweep frequency signals of a controllable impact seismic source, which is used for carrying out an indoor physical test of a controllable impact seismic source model machine and ensuring the effectiveness of a design scheme of the controllable impact seismic source. Constructing and verifying a multi-body dynamics numerical model of single impact, performing single variable sensitivity analysis on key structure parameters, and determining an optimal structure parameter combination by taking a frequency domain of output seismic waves as an evaluation index; constructing a multi-impact model, performing a simulation test on the sweep frequency control parameter, and determining an optimal sweep frequency signal parameter based on the main lobe amplitude and the main lobe-side lobe amplitude ratio of the output signal autocorrelation function; through forward modeling and cross-correlation-scattered wave inversion imaging processing, an application method of a controllable impact seismic source is established, and validity is verified. The technical problems that a traditional trial and error method is low in efficiency, main lobe energy of seismic source output signals is dispersed due to an unknown parameter influence mechanism, side lobe interference is large, and the signal-to-noise ratio is low are solved.

The invention discloses a microwave dielectric constant measurement method, system and device and a storage medium, and relates to the field of measurement. In the method, a to-be-tested material is placed between a transmitting antenna and a receiving antenna, an incident angle is adjusted to a preset value, and a signal source is arranged to transmit a first electromagnetic wave signal and receive a second electromagnetic wave signal; calculating an amplitude ratio of the first electromagnetic wave signal to the second electromagnetic wave signal, and calculating a phase difference between the first electromagnetic wave signal and the second electromagnetic wave signal; constructing a waveguide transmission model according to the to-be-measured material, and calculating the characteristic impedance and the propagation constant of a transmission line of the waveguide transmission model according to the size and the working frequency of a waveguide in the waveguide transmission model and the thickness of the to-be-measured material; and constructing an equation set according to the amplitude ratio, the phase difference, the characteristic impedance and the propagation constant, and solving to obtain the microwave dielectric constant. By implementing the technical scheme provided by the invention, the dielectric constant can be accurately measured.

A correction value calculation method calculates correction values to correct the 2-phase sinusoidal signals (X, Y) output by the encoder, and includes: a polar coordinate calculation step for calculating, for N phase angles and the Lissajous radius corresponding to each phase angle in the Lissajous waveform drawn by the 2-phase sinusoidal signals, a squared radius, which is the square of the Lissajous radius corresponding to each phase angle; and a correction value calculation step for calculating, based on each phase angle and corresponding squared radius, at least a correction residual of an offset error of the signal X, a correction residual of an offset error of the signal Y, a correction residual of an amplitude ratio error of the signals X and Y, and a correction residual of a phase difference error between the signal X and the signal Y, and then calculating correction values based on the correction residuals.

This invention relates to a method for measuring the stability margin of a constant-temperature hot-wire anemometer based on in-situ open-loop frequency characteristics, belonging to the field of fluid measurement and automatic control technology. The method disclosed in this invention includes the following steps: S1. Connecting an ultra-low frequency low-pass filter to the closed-loop circuit to form an in-situ open-loop system with a DC closed loop and an AC open loop; S2. Injecting a sweep frequency excitation signal E at the bias circuit. stimu And measure the output response E of the amplifier circuit. a By comparing the amplitude ratio and phase difference of the two, the open-loop frequency response G of the system under actual operating conditions of the hot wire is obtained. open (jω); S3. According to G open (jω) Obtain the phase margin of the system and determine its stability. This invention proposes a new method for measuring the stability margin of a constant-temperature hot-wire anemometer, transforming the complex system stability problem into a measurable and analyzable open-loop frequency characteristic stability margin problem, providing a direct and reliable engineering basis for the circuit design of constant-temperature hot-wire anemometers.

The present invention discloses a method, device and product for measuring the distance of a single-phase grounding fault of a collector line. The present invention first obtains a traveling wave signal of a target transmission line, and extracts a traveling wave head signal in the traveling wave signal; then, a multi-scale wavelet transform is performed on the traveling wave head signal, so as to obtain wavelet decomposition coefficients at different scales; then, the ratio between the modulus maxima of the wavelet decomposition coefficients at two specific frequency scales is calculated; thus, based on the ratio, the frequency component amplitude ratio of the traveling wave head signal at two specific frequencies can be determined; finally, according to the electrical parameters of the line and the frequency component amplitude ratio, the distance between the single-phase grounding fault point and the traveling wave signal collection point can be calculated; and based on the fault distance, the specific position of the single-phase grounding fault point on the line can be determined; therefore, compared with the traditional technology, the present invention not only improves the detection effect and detection efficiency, but also reduces the detection cost.

This application relates to the field of electromagnetic waves, specifically providing a polarization state detection method and apparatus. The method utilizes a polarization state detection device for detection and includes: inputting the beam to be detected into the polarization state detection device to obtain orthogonal first and second Bessel beams; using a polarizer to obtain the azimuth angles corresponding to the interference weakening or enhancement regions in the interference patterns of the first and second Bessel beams, and determining the phase difference between the first and second Bessel beams based on the azimuth angles; using the polarizer to obtain the first amplitude of the first Bessel beam and the second amplitude of the second Bessel beam, respectively, and obtaining the amplitude ratio based on the first and second amplitudes; and calculating the polarization state of the wave to be detected based on the phase difference and amplitude ratio. This polarization state detection method simplifies the polarization state detection process for terahertz and millimeter waves, promoting the miniaturization and integration of detection equipment.

The invention discloses a sum and difference angle measurement method based on angle discrimination curve piecewise fitting, which belongs to the field of signal processing, and comprises the following steps: firstly, carrying out digital beam synthesis on four-quadrant signals, synthesizing a sum beam, an azimuth difference beam and a pitch difference beam, and measuring the amplitude of the sum beam, the amplitude of the azimuth difference beam and the amplitude of the pitch difference beam; thirdly, according to a fixed frequency interval, completing beam pattern scanning of M frequency points of a target frequency band, calculating a sum-difference amplitude comparison result, and generating M groups of angle measurement parameters by adopting an angle discrimination curve segmentation fitting method; and finally, measuring signal frequency, sum beam amplitude, azimuth difference beam amplitude, pitch difference beam amplitude, azimuth sum difference phase difference and pitch sum difference phase difference in real time, selecting angle measurement parameters according to a frequency proximity principle, and calculating a target azimuth angle and a pitch angle in real time. According to the invention, sum-difference angle measurement of a wide-frequency-domain signal receiving system can be realized, the angle measurement precision is improved, and the engineering realization complexity is reduced.

The present invention discloses a method for measuring the shear wave velocity of the shallow seafloor sediment layer based on a single vector hydrophone. The measurement method includes: collecting underwater acoustic signals and seafloor interface wave signals excited by a very low frequency sound source near the seafloor using a single vector hydrophone; obtaining the horizontal component of the particle velocity by rotating the quasi-source direction using the horizontal transverse component and the horizontal longitudinal component of the particle velocity; calculating the amplitude ratios between the sound pressure, the vertical component of the particle velocity, and the horizontal component of the particle velocity pairwise, and calculating the interface wave velocity using any one of the amplitude ratios; and finally calculating the shear wave velocity according to the linear relationship between the interface wave and the shear wave. The method of the present invention can accurately estimate the shear wave velocity of the shallow seafloor sediment layer, and the detection device only requires a single vector hydrophone, providing a feasible technical approach for solving long-term problems such as difficult seafloor shear wave measurement, high cost, and low efficiency.

A method for determining the elevation angle and / or azimuth angle of a signal received by an ultrasound sensor includes: providing an ultrasound sensor with a frequency-dependent radiation pattern; transmitting a first ultrasound wave at a first frequency; transmitting a second ultrasound wave at a second frequency different from the first frequency; receiving reflections of the first and second waves, the reflections being caused by an object; and determining the elevation angle of the first and second reflected waves based on amplitudes of the reflections of the first and second waves. Determining the elevation angle (and / or azimuth angle includes calculating a ratio between the amplitudes of received reflections of the first and second waves and mapping a calculated ratio to an elevation angle and / or azimuth angle. The mapping is based on a predetermined ratio curve or ratio dataset which associates a certain amplitude ratio to an elevation angle and / or azimuth angle.

Provided are a correction value calculation method, program, and apparatus, the method comprising: a polar coordinate calculation step for calculating a square radius Ri2 for N phase angles [theta] i and a Lissavin radius Ri corresponding to each phase angle [theta] i; and a correction value calculation step for calculating, on the basis of each phase angle [theta] i and the square radius Ri2, at least a correction residual [delta] Cx of an offset error Cx of the signal X, a correction residual [delta] Cy of an offset error Cy of the signal Y, a correction residual [delta] Ka of an amplitude ratio error Ka of the signals X and Y, and a correction residual [delta] Py of a phase difference error Py between the signal X and the signal Y, a correction value is then calculated based on the correction residual. Using each phase angle [theta] i and a square radius Ri2 corresponding to each phase angle [theta] i, coefficients in the approximate expression model are obtained by a least square method, and a corrected residual is obtained from the obtained coefficients.

The present application relates to a method for obtaining an audio adjustment strategy, a computer device, a storage medium, and a computer program product. After receiving an audio adjustment instruction, the fundamental frequency points and overtone frequency points of the human voice signal in the audio to be adjusted are obtained, the overtone frequency points to be adjusted are determined among the overtone frequency points, and according to the comparison result between the amplitude ratio between the fundamental frequency points and the overtone frequency points and a preset amplitude ratio, the amplitude gain coefficient of the frequency band to be adjusted composed of the overtone frequency points is determined, and the frequency band to be adjusted and the amplitude gain coefficient are determined as the audio amplitude adjustment strategy of the audio to be adjusted. Compared with the scheme of manually determining the strategy to adjust the audio, this scheme determines the amplitude gain coefficient based on the standard proportional relationship between the fundamental frequency and the overtone, and determines the frequency to be adjusted based on the comparison between the frequency range and the preset frequency, so as to determine the strategy for adjusting the audio, improving the accuracy of determining the audio adjustment strategy.

This improves the reliability and throughput of characteristic measurement of films formed on substrates. [Solution] Polarization components consisting of p-polarized and s-polarized terahertz waves with mutually orthogonal vibration planes are incident on a substrate, the time waveforms of the electric field strengths of the p-polarized and s-polarized waves are obtained from the time waveform of the electric field strength of the polarization components reflected from the substrate, the spectra of the measured amplitude ratio of the p-polarized and s-polarized waves and the spectra of the measured phase difference of the p-polarized and s-polarized waves are obtained, the spectra of the calculated amplitude ratio of the p-polarized and s-polarized waves and the spectra of the calculated phase difference of the p-polarized and s-polarized waves are obtained by simulation using an optical model of the substrate, the properties of the film formed on the substrate are measured by fitting which at least matches the spectra of the calculated amplitude ratio to the spectra of the measured amplitude ratio, and the most reliable measurement value is used from among the multiple measurement values ​​used when measuring the properties of the film.

The invention relates to a vibration sensor fault detection method, which comprises the following steps of: acquiring vibration data of vibration sensors arranged at different measuring points, and extracting the amplitude of the vibration data at a characteristic frequency point as a target characteristic amplitude; for any characteristic frequency point of any measuring point, calculating the amplitude ratio of the target characteristic amplitude between the current measuring point and the other measuring points to obtain a target amplitude ratio; and comparing the target amplitude ratio with a reference ratio parameter, and if the ratio of the target amplitude ratio and the reference ratio parameter is imbalance, determining that a sensor fault occurs. The fault of the vibration sensor can be effectively detected.