717 results about "Linearity" patented technology

Systems and methods for controlling traffic flow along an arterial. The systems comprise a data processing apparatus configured to: monitor traffic light control signals (TLCSs) used to control traffic lights at intersection(s) and traffic delays occurring at intersection(s) at a time when the traffic lights are being controlled by TLCSs; access a hybrid model comprising a first linear term corresponding to an instance of traffic delays, a second linear term corresponding to a concurrent instance of TLCSs, and a nonlinear function defining a nonlinear relationship between the instance of the traffic delays and a previous instance of TLCSs; use the hybrid module to predict traffic delays at intersection(s) based on the traffic control signals and the traffic delays; determine, based on TLCSs and the traffic delays, traffic control signals that cause the predicted traffic delays to decrease; and cause the traffic lights to be controlled using the traffic control signals.

The invention relates to a calibration method of an ultrasonic flaw detector calibrating device, which comprises the following steps of: acquiring and transmitting ultrasonic waves of which the frequency is matched with the theoretical frequency of a material to be detected, acquiring and dynamically correcting the actual propagation path of the ultrasonic waves in real time, generating a calibration parameter of a frequency-delay compensation coefficient, and compensating the transmitted ultrasonic waves based on the calibration parameter. After the compensated ultrasonic waves enter a to-be-detected material, time-base line signals are collected and input into the trained deviation calculation model to calculate time axis scale deviation, time-base line linearity is adjusted based on the time axis scale deviation, stepped ultrasonic attenuation signals are generated, echo signal amplitude values of the flaw detector are collected, and the amplitude values of the echo signals of the flaw detector are calculated. And comparing the echo signal amplitude value with a preset amplitude threshold value to obtain a dynamic difference value of the two, and adjusting the attenuation amount in real time based on the dynamic difference value. The problems of insufficient calibration efficiency and consistency, poor dynamic parameter adaptability, limited sensitivity calibration precision and complex working condition simulation capability in the prior art are solved.

The invention relates to the technical field of PWM control, and discloses a high-precision PWM dead zone effect compensation method and system. The method comprises the following steps: carrying out differential sampling and signal conditioning on PWM output current to obtain a current sampling value; the driving signal is input into an FPGA state judgment module for state conversion analysis, and switch state information is obtained; performing dead zone characteristic quantity extraction based on the current sampling value and the switch state information to obtain a dead zone effect influence factor; according to the dead zone effect influence factor, compensation coefficient calculation is carried out in a piecewise linear mode, a real-time compensation value and a predicted compensation value are obtained, the real-time compensation value and the predicted compensation value are used for compensating dead zone position voltage drop in a PWM output voltage waveform, the real-time compensation value is used for current period compensation, and the predicted compensation value is used for next period compensation presetting. And high-precision PWM dead zone effect compensation is realized. According to the method, accurate calculation and dynamic prediction of the compensation value are realized, the compensation adaptability is improved, and finer compensation control is realized.

The invention discloses a pulse eddy current signal late period slope feature extraction method and system based on segmentation fitting, and belongs to the technical field of nondestructive testing. The method comprises the following steps: performing logarithmic transformation and filtering processing on a to-be-detected eddy current signal; intercepting a characteristic signal segment based on the filtering signal; dividing the feature signal segment into a plurality of sub-segments, performing piecewise linear fitting, determining a linear segment, and extracting a slope as a feature value; repeating the steps to obtain characteristic values of the test pieces with different thicknesses, performing curve fitting according to the characteristic values of the test pieces with different thicknesses and the corresponding thicknesses, and calculating a fitting error; and finally, iteratively optimizing the division number of the sub-segments by taking the minimum fitting error as a target. Through adaptive filtering, segmentation fitting and an intelligent optimization algorithm, the anti-interference performance, the linearity and the measurement precision of pulse eddy current signal feature extraction are remarkably improved, and efficient and reliable thickness detection of the high-temperature and high-pressure industrial pipeline under the condition that a heat preservation layer does not need to be disassembled is achieved.

The invention discloses a linearity closed-loop optimization method for a semiconductor gas sensor with adjustable voltage dynamic compensation, which relates to the technical field of gas detection and comprises the following steps: controlling the semiconductor gas sensor to start in a clean air environment, outputting an initial test voltage sequence through a voltage regulator, the method comprises the steps of collecting sensor reference resistance under different voltages, screening out initial working voltage with the minimum resistance fluctuation quantity, synchronously collecting initial environment temperature and humidity, and calibrating the sensor reference resistance based on preset temperature and resistance coefficients and humidity and resistance coefficients to obtain initial reference resistance. By dynamically adjusting the working voltage and combining real-time compensation on the environment temperature and humidity, the interference of environment factor fluctuation on the resistance characteristic of the sensitive material can be continuously counteracted, so that the linear relation between the output signal of the sensor and the target gas concentration is kept stable, the dynamic optimization of the linearity in a complex environment is realized, and the sensitivity of the sensor is improved. And more reliable basic data is provided for gas concentration detection in an industrial scene.

The invention provides a broadband low-noise amplifier based on a three-coil coupling transformer. The broadband low-noise amplifier comprises an input matching network, a common-source differential output driving stage amplifier, an inter-stage matching network, a common-source differential output power stage amplifier and an output matching network which are connected in sequence, broadband matching is realized by using the input matching network and the inter-stage matching network, and the effective transconductance of the transistor is improved; through the cross-coupled capacitors, the LNA gain and stability on a broadband are improved, better isolation is realized, and input and output are decoupled; due to the design of the grounding capacitor, the linearity of the LNA is improved; through the combination of the three-coil coupling transformer and the differential topology, output signals are superposed in the same direction at the output end, and noise is cancelled in the reverse direction at the output end, so that the thermal noise is greatly inhibited, the isolation is improved through the output matching network, the insertion loss is reduced, and the output matching performance is optimized.

The invention provides a method for selecting a high-concentration VOCs adsorbent at different temperatures and application, and belongs to the technical field of waste gas governing. According to the method, through testing pore structure parameters of a model adsorption material with concentrated pore size distribution, a static adsorption isotherm and a dynamic penetration curve for VOCs at different temperatures, a high-concentration VOCs adsorbent is obtained; a linear relation equation of the critical aperture and the critical pressure is established through linear fitting, then a correlation equation of the critical aperture, the temperature and the partial pressure is established, and the appropriate aperture distribution range and the model selection standard of the high-concentration VOCs adsorbent at different temperatures are determined by combining dynamic adsorption results. According to the method, the ternary matching relation equation of the VOCs partial pressure, the temperature and the critical aperture is constructed, accurate type selection of the high-concentration VOCs adsorbent at different temperatures is achieved, the pore volume utilization rate and the adsorption capacity can be improved, meanwhile, desorption energy consumption and the VOCs pyrolysis risk are reduced, and a theoretical basis is provided for adsorbent type selection and technical optimization.

The invention relates to the technical field of fault detection, in particular to an electrical fault detection control system which comprises a phase monitoring module, an abnormity positioning module, a current control module and a result verification module. According to the method, the phase difference is calculated by combining collection and dynamic time warping, an abnormal mark is generated by comparing a phase tolerance threshold value, the phase delay detection precision is improved, based on an adjacent node phase difference value sequence, the slope kick is analyzed through linear regression, the candidate section judgment accuracy is enhanced, and a constant current source collects a multi-node voltage difference value; the Kalman filtering smoothes the voltage drop difference and compares the threshold value, improves the anti-interference capability of the complex working condition, compares the overlapping degree of the path coordinates and forms a closed loop verification mechanism with a re-check instruction, guarantees the reliability of the positioning result, shortens the fault response time through the multi-stage collaborative optimization, reduces the misoperation, and improves the discrimination robustness through the dynamic modeling and multi-source signal fusion. The dependence on experience or threshold is reduced; and the self-adaptive capability is enhanced.

The invention relates to the technical field of electronic component testing for investigating or analyzing internal microstructures and physical properties of materials by utilizing an electrical means, and discloses an online testing and analyzing method for physical properties of electronic component materials, which comprises the following steps of: constructing a composite excitation signal formed by linearly superposing a main carrier voltage and a perturbation wave voltage; applying the signal to a to-be-tested electronic component and acquiring response current; and extracting an intermodulation current amplitude at an intermodulation frequency point in the frequency spectrum of which the linear response interval is excluded, calculating a nonlinear response coefficient of the material in combination with the excitation amplitude, and comparing the nonlinear response coefficient with a preset degradation threshold so as to judge whether the nonlinear response coefficient is qualified or not. By extracting intermodulation components which cannot be generated by linear contact resistance, physical isolation of external contact noise in a frequency domain is realized, and the problem that contact resistance fluctuation and material intrinsic aging cannot be distinguished in a traditional linear impedance test is solved.

The invention relates to the technical field of power distribution network automation, and discloses an electrical variable monitoring method for ring main unit operation, which comprises the following steps: acquiring three-phase electrical variable data in response to a condition that a load current change rate exceeds a preset micro-motion excitation threshold value; calculating a reference voltage based on the circuit state equation containing the inter-phase mutual inductance coupling term; the method comprises the following steps: constructing a rotating coordinate system taking a current vector as a reference axis, performing vector decomposition on a voltage deviation vector, separating a resistive temperature drift voltage component parallel to the reference axis, and taking a nonlinear impedance voltage component perpendicular to the reference axis as a monitoring parameter to judge a contact state. According to the method, linear resistance drift caused by conductor temperature rise is effectively decoupled, baseline interference is eliminated, weak nonlinear impedance distortion characteristics caused by mechanical contact degradation can be captured, and the recognition sensitivity and accuracy of early latent faults of the ring main unit are improved.

Systems and methods for new systems and methods for detecting power quality disturbances, such as faults. The approach is based on the dynamic mode decomposition (DMD)—a data-driven method to estimate linear dynamics whose eigenvalues and eigenvectors approximate those of the Koopman operator. The approach uses the real part of the main eigenvalue estimated by the DMD as the key indicator that a power quality event has occurred. The disclosed systems and methods can be used to detect events using current and voltage signals to distinguish different faults. Because the proposed method is window-based, the effect that the window size has on the performance of the approach is analyzed.

The invention discloses a non-parametric probabilistic load flow calculation method considering complex uncertainty for a power system. The method comprises the following steps: firstly, constructing source-load nonparametric probability distribution based on a multivariate Gaussian mixture model; then, constructing an alternating current power flow model under a polar coordinate system in the power system, and performing linear expansion on the alternating current power flow model under the polar coordinate system in the power system at a mean point of source-load non-parametric probability distribution by adopting a first-order Taylor series approximation method to obtain a system operation simplified model based on alternating current power flow linearization of the power system; and finally, according to the linear transformation property of the Gaussian distribution, obtaining the probability distribution of the power flow distribution of the power system under each Gaussian component, and in combination with the total probability law, carrying out weighted summation on the probability distribution under each Gaussian component according to the weight to obtain the non-parametric probabilistic power flow probability distribution of the power system. The method provided by the invention has stronger generalization ability and accuracy, and has important reference significance for operation uncertainty quantification of the power system under complex uncertainty.

The invention discloses a multi-branch hydro-generator stator grounding fault active arc extinction method, which comprises the following steps: S1, constructing an analytic function of a double-frequency fault potential by using a neutral point and a generator end voltage after a generator fault and combining a winding connection sequence; s2, deriving a linear constraint relation between a third harmonic fault potential real part and an imaginary part; s3, according to the linear constraint relation, in combination with the potential expression of each branch winding of the third harmonic, constructing a target function for fault solution, and solving a solution set based on the third harmonic characteristic quantity; s4, according to the fundamental wave fault characteristic equation, constructing a fundamental wave difference coefficient multi-solution screening criterion, and obtaining a unique solution of the double-frequency fault potential; s5, aiming at the multi-branch hydro-generator, constructing a neutral point dual-frequency power supply injection amount calculation formula; and correctly adjusting the injection amount of the neutral point double-frequency controllable power supply by using the screened double-frequency fault potential unique solution, and suppressing the voltage of the fault point to be 0 to realize arc extinction. According to the invention, reliable arc extinction of the multi-branch hydraulic generator can be realized.

The invention discloses a temperature compensation equalizer with adjustable equalization slope linearity, and relates to the technical field of microwave integrated circuits. The equalizer comprises a temperature compensation driving module and a temperature compensation equalization module. The temperature compensation driving module generates a control voltage changing along with the temperature by using the negative temperature characteristic of the diode. The temperature compensation equalization module comprises an equalization circuit formed by resonators and a pair of stacked switch tubes, and realizes a temperature compensation function by controlling voltage to adjust insertion loss; meanwhile, by changing the capacitance value of the equalization slope linearity adjusting capacitor C3 which is connected with the series resonator in parallel, the linearity of the equalization slope can be flexibly adjusted on the premise that the equalization quantity is kept unchanged. According to the invention, the temperature compensation and equalization functions are integrated, the structure is compact, the performance is stable, the slope linearity can be flexibly adjusted, and the device is suitable for gain frequency and temperature compensation in a broadband radio frequency link.

The invention relates to a KRG system instrument channel test method, a computer storage medium and control equipment. The method comprises the following steps: S10, acquiring test parameters of a to-be-tested instrument channel; s20, a ramp voltage signal is output to a processing calculation module of a to-be-tested instrument channel according to the test parameters and a preset linear formula; s30, acquiring an output end signal of a threshold trigger corresponding to the to-be-tested instrument channel; s40, judging whether the signal at the output end of the threshold trigger jumps or not; s50, when the output end signal jumps, the voltage value of the ramp voltage signal at the jumping moment is recorded as the action voltage; and S60, judging whether the instrument channel to be tested is qualified or not according to the action voltage. According to the invention, the instrument channel to be tested can obtain the ramp voltage signal required by the test through the software program, then the instrument channel is tested, and the method has the advantages of small manual operation amount, low human error risk and high test accuracy.

The invention discloses a linearity optimization test method for a semiconductor gas sensor, which belongs to the technical field of gas detection, and specifically comprises the following steps: acquiring a working temperature interval [A, B] when the linearity of the sensor is greater than a set standard, and setting a plurality of test temperatures in a test environment to collect the internal temperature of the sensor in real time, for each test temperature, if the test temperature is smaller than A, the adjustable voltage output circuit is controlled to heat the sensor; if yes, the adjustable voltage output circuit is controlled to cool the sensor. Drawing a time-varying curve of the internal temperature of the sensor at any test temperature, and calculating the temperature variation speed corresponding to the test temperature; then calculating a corresponding balanced working voltage according to the temperature change speed, and taking the balanced working voltage as a working voltage of the adjustable voltage output circuit at the test temperature; according to the invention, targeted optimization of the gas sensor in different scenes is realized.

The invention discloses a voltage-to-current circuit, a calibration method, a multi-range calibration method and a power supply, a power amplification unit adopts MOS tubes of different channel types to match with working voltages of opposite polarities, and a bias circuit is combined to superpose exclusive bias, so that the waveform adaptation limitation of a traditional circuit is broken through, and the voltage-to-current conversion efficiency is improved. Alternating current, direct current, triangular waves, square waves and other special waveforms can be stably output, and the adaptability is greatly improved; secondly, pure hardware signal transmission and feedback are carried out in the whole process, the intermediate link of MCU measurement-setting is omitted, multi-stage error accumulation is effectively reduced, output delay is remarkably reduced, and the response speed is higher; in addition, the current sampling feedback unit and the error amplification unit form closed-loop control, power amplification output current is sampled in real time and fed back for calibration, and the precision and stability of the output current are effectively improved. Meanwhile, the bias circuit accurately regulates and controls the conduction state of the MOS tube, the linearity and consistency of current output are improved, and the overall structure is simple and reliable.

The invention discloses a resistance voltage divider calibration system, method and device based on a self-calibration frequency counter and a medium, and relates to the technical field of metering calibration. The system comprises a stabilized voltage source, a resistance voltage divider, a high-speed electronic switch, a voltage-frequency converter, a self-calibration frequency counter, a satellite signal receiver, an electric energy metering chip and a CPU. According to the invention, the output signal of the voltage divider is connected to the voltage-frequency conversion channel through a specific time sequence, the pulse sequence in proportion to the voltage is generated by using the inherent linear characteristic of the output signal, then the pulse sequence is subjected to high-precision counting and comparative analysis through the self-calibration frequency counter, and finally the dynamic correction of the voltage division ratio parameter is realized. According to the technical path, an external reference source and high-precision voltage measurement equipment do not need to be introduced, in-situ calibration of the characteristic parameters of the voltage divider can be completed in a remote mode, and the long-term stability of the high-voltage electric energy metering device in a complex electromagnetic environment is remarkably improved.

The invention relates to the technical field of electrical fault detection, in particular to a four-fusion integrated terminal fault detection system based on sensor analysis. The system comprises a data acquisition module used for acquiring voltage data and current data in a preset time period; converting the voltage data into frequency spectrum data; the scatter diagram acquisition module is used for acquiring the harmonic influence degree and the variation coefficient of the window by utilizing the window to slide on the frequency spectrum data and the current data respectively, and then constructing a scatter diagram; the weight calculation module is used for acquiring the confidence coefficient and the weight of the data points in the scatter diagram; the reference straight line construction module is used for establishing a minimum error quadratic sum objective function based on the weight of each data point, and calculating a first parameter and a second parameter so as to obtain a reference straight line corresponding to the linear regression model; and the anomaly detection module is used for constructing a boundary line parallel to the reference straight line so as to detect harmonic anomaly. According to the invention, faults caused by harmonic influence can be accurately detected.

The invention discloses a servo system control method based on frequency domain self-tuning and linear active disturbance rejection, and relates to the technical field of servo control and motor control. Comprising the following steps: based on a mathematical model of a permanent magnet synchronous motor, establishing a double-inertia model suitable for a large-inertia servo system, and constructing an equivalent mathematical expression of an electrical and mechanical transmission system; in a three-stage cascade control architecture composed of a current loop, a speed loop and a position loop, the current loop is used for current adjustment, the speed loop is used for dynamic response adjustment, and the position loop is used for displacement target tracking. Based on a frequency domain performance index and a rule method, PI controller parameters of a speed loop and a position loop are set respectively, and the frequency domain index comprises an open-loop cut-off frequency and a phase margin; and establishing a frequency domain equivalent mapping relation between the PI controller and the LADRC controller. The method has the advantages that the method does not depend on accurate modeling and manual interference, automatic parameter setting can be achieved, non-overshoot dynamic response is achieved, and the remarkable disturbance suppression capacity is shown.

The invention provides an IGBT (Insulated Gate Bipolar Translator) turn-off time measuring method, system, equipment and medium, and belongs to the field of power semiconductor device testing technology and state monitoring, and the method comprises the following steps: firstly, selecting 20% Vdc and 80% Vdc as turn-off initial measuring points, secondly, carrying out first error correction by adopting a linear estimation method, and finally, carrying out second error correction by adopting a linear estimation method; performing linear fitting on the voltage difference Vce data through a least square method to obtain initial turn-off time; and finally, aiming at systematic deviation caused by inherent concavity and convexity characteristics of the voltage curve, performing secondary error correction by adopting a convex hull algorithm, acquiring a lower envelope line of the ic-tOFF relation curve through an Andriw algorithm, and identifying and eliminating the problem of Overestimation of the turn-off time based on a convex hull accurate point set. According to the invention, accurate measurement of the turn-off time of the IGBT under the condition of low sampling rate is realized, the hardware cost is significantly reduced, and a reliable technical basis is provided for IGBT state monitoring and life prediction.

The invention discloses a high-robustness deadbeat predictive current control method which is suitable for current control of a dual three-phase permanent magnet motor driving system, and belongs to the technical field of permanent magnet motor control. The method mainly comprises the following steps: reconstructing a motor mathematical model by adopting a space vector decoupling matrix and Park transformation to obtain a motor voltage equation under a dqxy axis; designing a linear expansion state observer; a reference value of an output voltage vector is obtained in combination with deadbeat predictive current control; time delay in the digital control system is calculated, and angle delay is compensated; and designing a closed-loop Smith predictor for compensating a time delay link to complete high-robustness dead-beat predictive current control of the dual three-phase permanent magnet motor. The current loop design in the method does not depend on motor parameters, and the method has high parameter change robustness. By introducing the closed-loop Smith predictor, large delay of the system can be effectively compensated, and high-precision current tracking is realized under low switching frequency.

The invention discloses a fault transient current analysis method of a network-forming converter considering a power angle swing process. The method belongs to the technical field of power system fault analysis, is used for realizing accurate solution of transient current of a network-forming converter under a three-phase symmetric drop fault of power grid voltage, and comprises the following steps: firstly, constructing a power angle swing equation based on a virtual synchronous machine control strategy; taylor series expansion is carried out on an equation nonlinear term at a steady-state equilibrium point after the fault, a linear oscillation component and a nonlinear disturbance component are separated, and a power angle approximate analytical solution is derived; secondly, establishing a grid-connected current first-order differential equation containing power grid impedance based on circuit topology, and substituting the simplified power angle expression to obtain a time domain analytical expression of voltage on the power grid impedance under a three-phase static coordinate system; and finally, in combination with a solving method of a first-order differential equation and a current steady-state initial value condition, establishing a current analytical expression of the whole fault transient process.

The invention provides a linearity correction circuit and a linearity correction method for a successive approximation analog-to-digital converter, which are applied to the technical field of semiconductor integrated circuit design and are used for multiplexing part of capacitors in an analog-to-digital converter capacitor array to inject jitter noise so as to improve the linearity of an SAR ADC under small input amplitude and improve the linearity of the SAR ADC under small input amplitude in a sampling stage. An input signal is coupled to an upper pole plate of the DAC capacitor array, and meanwhile, a lower pole plate of the multiplexing capacitor unit is connected to a reference voltage controlled by a dither signal; after a phase is sampled and before the phase is converted, a lower pole plate of a multiplexing capacitor unit is switched to a fixed reference voltage, random jitter noise is injected at the moment, after the voltage of a top pole plate of a capacitor array is established stably, a comparator is enabled, successive approximation conversion is started, and the jitter noise is injected by multiplexing part of capacitors in the existing CDAC capacitor array, so that the random jitter noise is generated. The random jitter noise injection by using an extra capacitor array is avoided, the circuit design is simplified, the circuit cost and power consumption are reduced, and the linearity of the SAR ADC is improved.

The invention discloses a high-linearity and high-power GaAs HBT (Heterojunction Bipolar Transistor) power amplifier with a power detection function. The high-linearity and high-power GaAs HBT power amplifier comprises a radio frequency path, a bias module and a power detection circuit, the radio frequency path is used for performing power amplification on a radio frequency signal, improving the stability and expanding the bandwidth by using a negative feedback network, and improving the overall linearity by second harmonic suppression; the bias circuit is used for providing bias voltage dynamically changing along with input power for the three-stage amplification circuit, so that the problems of linearity deterioration and current instability caused by a self-heating effect under high-power input of the GaAs HBT transistor are solved, and amplitude-amplitude distortion and amplitude-phase distortion of the power amplifier are improved; and the power detection circuit is used for outputting a direct-current voltage which is positively correlated with the output power so as to realize accurate control on the output power of the power amplifier. According to the invention, negative feedback, dynamic bias and harmonic suppression technologies are fully combined, and the overall linearity of the amplifier is effectively improved.

The invention relates to the technical field of power supply management, in particular to a transient response optimization method based on a linear voltage regulator, and the method comprises the steps: obtaining transient response data of the linear voltage regulator when a load suddenly changes, and judging whether the linear voltage regulator enters a transient early warning state or not. And if entering the early warning state, carrying out high-frequency noise threshold segmentation on an output voltage waveform, extracting voltage change rate characteristics, constructing a compensation efficiency model based on dynamic response time and effective compensation bandwidth, calculating an optimal open-loop compensation coefficient, generating a compensation control instruction, and driving a compensation network to carry out dynamic compensation. And if the pre-warning state is not entered, ripple uniformity data of the output voltage is acquired, a deviation matrix of an actual ripple distribution curved surface and an ideal ripple distribution plane is determined, and whether a local ripple abnormal region exists is determined. According to the method, through dynamic monitoring and intelligent compensation, the transient response speed and stability of the linear voltage regulator are improved, and high-frequency noise processing and ripple uniformity are optimized.

The invention relates to a self-compensating contact resistance on-line monitoring device and method in a high-temperature environment, and the device comprises a contact point which is used for forming a contact resistance to be measured; the thermocouple is used for monitoring the temperature in the high-temperature box in real time; the constant current source system is used for applying a constant test current to the contact point and dynamically adjusting an output current value; the signal conditioning circuit is used for filtering high-frequency interference in the voltage signal; the data acquisition card is used for acquiring voltage signals at high speed; and the processor is used for calculating the real value of the compensated contact resistance. The LSTM network based on Kalman filtering and physical constraint has the beneficial effects that in the LSTM network based on Kalman filtering and physical constraint, the KF outputs the denoised base value state in real time through dynamic fusion observation value and model prediction, and clean input is provided for the LSTM. The LSTM models a temperature-resistance nonlinear relation based on a denoising result of the KF, and makes up for a linear hypothesis defect of the KF.

The invention relates to the technical field of pipeline monitoring, and discloses a pipeline wall thickness calculation method and device based on magnetic signal change, electronic equipment and a storage medium, and the method comprises the steps: arranging an external magnetic field around a pipeline, and obtaining the magnetic signal data of the pipeline; performing noise processing on the magnetic signal data to obtain second magnetic signal data; performing normalization processing on the second magnetic signal data to obtain third magnetic signal data; collecting external environment data to correct the third magnetic signal data; performing feature extraction on the corrected third magnetic signal data, and establishing a mathematical relationship model of the magnetic signal and the pipeline wall thickness by using a linear regression method; calculating the wall thickness of the pipeline; and performing trend analysis on the wall thickness of the pipeline based on the historical wall thickness data to obtain predicted wall thickness data, setting a wall thickness safety threshold according to the predicted wall thickness data, and triggering an alarm system if the specific wall thickness value of the current pipeline is lower than the wall thickness safety threshold. The problem that the pipeline wall thickness detection is not convenient and accurate enough in the prior art can be solved.

The invention discloses an integrated circuit worst performance processing method, and relates to the field of integrated circuits, and the method comprises the steps: employing a corrected normal distribution cumulative distribution function CDF to describe the nonlinearity between the failure rate and the circuit performance, and introducing a skewness parameter and a kurtosis parameter; and carrying out weight calculation on the sampling points, highlighting important samples near the failure boundary, and constructing a local linear model in a local region by adopting weighted least square regression. On the global scale, logarithmic transformation is carried out on a sampling matrix, feature distribution is converted from nonlinearity to approximate linearity, an orthogonal matching pursuit algorithm is adopted to construct a sparse global linear model, and the generalization ability and interpretation of the model are improved. Finally, according to the method, a circuit performance predicted value at 6 sigma calculated by a corrected Gaussian function is taken as a target, a global or local linear model is flexibly selected as a constraint condition according to the position of a worst performance point, an optimal solution is iteratively solved, and the estimation precision and the calculation efficiency are effectively balanced.

A high linearity phase interpolator (PI) is disclosed. A phase value parameter indicative of a desired phase difference between an output signal and an input clock signal edge may be provided by control logic. A first capacitor may be charged for a first period of time with a first current that is proportional to the phase value parameter to produce a first voltage on the capacitor that is proportional to the phase value parameter. The first capacitor may be further charged for a second period of time with a second current that has a constant value to form a voltage ramp offset by the first voltage. A reference voltage may be compared to the voltage ramp during the second period of time. The output signal may be asserted at a time when the voltage ramp equals the reference voltage.