1832 results about "Transfer function" patented technology

The invention relates to a high-altitude large steel structure corridor safety risk monitoring method and system and a medium, and belongs to the technical field of civil engineering structure health monitoring, and the monitoring method comprises the steps: collecting original monitoring data through a multi-source sensor group disposed at each node of a steel structure corridor; performing space-time alignment processing on the original monitoring data to generate a sensor data matrix; performing dynamic noise suppression on the sensor data matrix based on an environmental noise transfer function model, and outputting a pure signal matrix and a damage characteristic frequency band identifier; calculating a thermal stress sensitive factor, extracting a multi-physical field coupling feature associated with the damage feature frequency band identifier in the pure signal matrix, fusing to generate a high-dimensional damage feature tensor, inputting the high-dimensional damage feature tensor into a pre-constructed digital twinborn risk assessment model, and outputting an assessment result including a risk level label and a damage position coordinate; and matching the regulation and control strategy according to the risk level label, and generating a corresponding equipment control instruction. According to the invention, the scientificity and accuracy of risk decision can be improved.

The invention provides a servo hydraulic system optimization control method and system for a press machine test platform, and relates to the technical field of press machines, and the method comprises the steps: building a state space expression and building a mathematical model of a servo hydraulic system based on dynamic characteristics by deducing mathematical expressions of all components of the system; building a predictive control algorithm based on the mathematical model, solving a quadratic programming problem by adopting a rolling optimization strategy through building a state space predictive model and determining a multi-objective optimization function to obtain an optimal control sequence, and taking a first element of the optimal control sequence as control input at the current moment; feedforward compensation and pressure feedback compensation are introduced, the feedforward compensation constructs a compensation model based on an inverse system of a press transfer function and pre-corrects a control signal, and the pressure feedback compensation designs a digital filter based on a pressure error, fuses a feedforward compensation signal with a pressure feedback compensation signal and superposes the fused signal with the control signal; and obtaining a final control signal.

The invention discloses a pitch angle dynamic compensation method based on multi-radar space-time synchronization, and relates to the technical field of wind power generation. In order to solve the problem that the pitch angle control precision is insufficient due to the fact that three-dimensional wind field space-time characteristics cannot be captured in traditional single-point wind speed measurement, a wind wheel plane three-dimensional space-time speed field is synchronously constructed through a horizontal-vertical radar array, and blade segmented aerodynamic load distribution is calculated in real time in combination with a flow field-structure coupling model; establishing a vorticity transport equation under a rotating coordinate system based on a vorticity-shearing force transfer function, mapping dynamic load deviation through a neural network to generate a reference variable pitch instruction, and fusing the tower shadow interference feature vector to perform pre-compensation; a quadratic programming algorithm is adopted to resist saturation optimization, so that the variable pitch rate strictly follows a dynamic constraint curve of a hydraulic system. According to the method, the problem of aerodynamic load phase delay is effectively solved, periodic load fluctuation caused by the tower shadow effect is reduced, and technical guarantee is provided for stable operation of a large wind turbine generator under the complex wind condition.

The invention provides a lightning protection system effectiveness evaluation method and system based on multi-dimensional research and judgment, and relates to the technical field of lightning protection, and the method comprises the steps: collecting system index data through a bidirectional feature extraction network, employing a separable convolution layer with an attention mechanism and multi-scale Fourier transform to extract features, and carrying out the analysis of the features; an index transfer function is constructed in combination with a causal reasoning network, evaluation grade division is performed by adopting kernel principal component analysis and density clustering, and system parameters are optimized through a hierarchical reinforcement learning framework, so that accurate evaluation and dynamic optimization of the state of the lightning protection system can be realized, and the reliability and the protection effect of the system are improved.

The invention provides a photovoltaic VSG control method based on virtual inertia and damping, and the method comprises the steps: designing a topological structure of a photovoltaic virtual synchronous generator for modeling, and obtaining a power and power angle equation of the virtual synchronous generator; constructing a function expression of the active power of the virtual synchronous generator and combining the function expression with a power and power angle equation of the virtual synchronous generator to obtain a second-order transfer function so as to obtain a step response curve of the output power and the angular frequency of the virtual synchronous generator; secondly, analyzing an influence mechanism of changes of virtual inertia and damping on the dynamic performance of the virtual synchronous generator based on a step response curve, obtaining self-adaptive principles of the virtual inertia and damping in different states based on the influence mechanism to construct a self-adaptive function, and finally setting parameters in the self-adaptive function and designing a starting criterion. Therefore, the photovoltaic virtual synchronous generator can be controlled. Compared with the prior art, the fluctuation of power and frequency can be better suppressed, and the stability of the system is improved.

The invention discloses a power grid strength evaluation method and device, equipment, a medium and a product, and relates to the field of power system dynamic stability, and the method comprises the steps: building admittance and impedance models of all power supplies and network elements of a system in the impedance modeling process of the power system; the admittance and impedance model comprises a power supply admittance matrix, a power supply impedance matrix, a network node admittance matrix and a network node impedance matrix of all power supplies; based on the admittance and impedance model, establishing a whole-system closed-loop admittance matrix according to a closed-loop feedback relation between equivalent voltage disturbance and equivalent current disturbance of all buses; based on the closed-loop feedback relationship, defining a source network voltage interaction stability boundary representing the power grid strength according to the sensitivity of the system characteristic value to a source network voltage transfer function; and positioning a power grid strength weak area according to the source network voltage interaction stability boundary, and improving the power grid strength. According to the method, the oscillation risk caused by interaction of the control loops in the converter can be described.

The invention relates to an AI server cooling water pump vibration quantity self-adaptive calibration test method and system, an intelligent test platform integrates a six-dimensional force sensor and a temperature compensation vibration exciter, the platform rigidity is automatically calibrated, a water pump-pipeline system transfer function is obtained, and a rotating speed-lift-modal frequency three-dimensional mathematical model is established; a three-axis MEMS accelerometer array is arranged at sensitive parts such as a water pump bearing seat and a motor shell, and vibration, current and pressure signals are synchronously collected; carrying out time-frequency domain signal processing by adopting variational mode decomposition in combination with self-adaptive S transformation, and extracting a 128-dimensional full-frequency domain feature vector containing a modulation side frequency band; effective values of vibration acceleration, speed and displacement are calculated through a frequency domain integration algorithm, and current harmonic interference is corrected through an electromagnetic vibration compensation model; and finally, a vibration health degree evaluation model containing 18 characteristic parameters is established based on a support vector machine, the test system comprises an intelligent test platform unit, a multi-source sensing unit, an edge calculation unit and a data management unit, and microsecond-level synchronous acquisition and GB-level data throughput are realized through a time sensitive network. And online incremental learning and automatic generation of a test report are supported. The method has the effect of improving the water pump vibration quantity test precision.

The invention discloses a VSG adaptive control method, which comprises the following steps: establishing an inverter model based on VSG control, introducing a virtual rotational inertia J and a damping coefficient D into the inverter model, introducing an SG2-order rotor motion equation to simulate the rotational inertia and realize primary frequency modulation characteristics, and deducing a control equation; establishing a VSG active-frequency loop small signal model, and introducing a transfer function of reference power-frequency and output power reference power to determine a variation range corresponding to the virtual inertia J and the damping coefficient D; and designing a fuzzy controller to dynamically adjust the virtual inertia J and the damping coefficient D in a variation range corresponding to the virtual inertia J and the damping coefficient D so as to realize real-time adjustment of the virtual inertia J and the damping coefficient D. According to the VSG adaptive control method, parameter adjustment is more sensitive in the face of small errors, and the selection range of J and D can be fully utilized and adjusted in real time.

The invention discloses a digital calibration system and method for dynamic response parameters of a surge protection circuit, relates to the technical field of power electronic protection and test calibration, and is used for solving the problem that an existing surge protection circuit calibration method cannot reflect device degradation and dynamic response mismatch. Surge event voltage and current waveforms are collected through a synchronous trigger mechanism, non-stationary signal features are extracted through combined time-frequency analysis, and a voltage-current phase trajectory diagram is constructed to generate a response feature matrix; performing phase-space reconstruction on the matrix, calculating Kolmogorov entropy quantification system stability, and establishing a material degradation transfer function in combination with an energy absorption sequence to generate a grain boundary degradation index; key parameters are screened through L1 regularization regression, and a quantitative relation between a grain boundary degradation index and a protection threshold value is established to realize adaptive threshold value calculation; and executing strategy switching from calibration to predictive maintenance according to the degradation trend and threshold fluctuation change, and outputting a maintenance signal to complete dynamic accurate calibration and reliable operation of the surge protection circuit.

The invention belongs to the technical field of spinning tension control, particularly relates to an intelligent self-adaptive spinning tension control method and system, and aims to solve the problems that an existing traditional tension control method often depends on simple PID (Proportion Integration Differentiation) control and is difficult to deal with complex dynamic changes, and the control precision is high. In order to solve the problems of low tension control precision, low response speed and incapability of adapting to various textile materials and process requirements in the prior art, the invention provides the following scheme: the method comprises the following steps of: 1, establishing a detailed tension dynamic model based on the Newton's second law and the quality, acceleration, friction force, gravitational acceleration and external disturbance factors of a fabric in a textile process; 2, converting a kinetic equation of a time domain into a complex frequency domain, and establishing a transfer function of a Laplacian domain to describe the response of the system to input and disturbance; the response speed and stability of the control system are improved, the controller further has the adaptive capacity, and control parameters can be adjusted according to real-time feedback so as to meet control requirements under different working conditions.

The invention provides a wind power auxiliary frequency modulation optimization method based on system frequency trajectory optimization. The method comprises the steps that key operation parameters and frequency modulation parameters of a wind turbine generator and a traditional generator are collected respectively, a small signal analysis method is used for deducing a wind turbine generator power frequency transfer function considering working point deviation, and a system frequency response model containing the wind turbine generator and the traditional generator is established; based on the system frequency response model, constructing a discretized optimal system frequency trajectory optimization model by taking the lowest point of the maximized system frequency as a target function; and solving the discretized optimal system frequency trajectory optimization model by using a commercial solver to obtain an additional frequency modulation power signal, and applying the additional frequency modulation power signal as an additional control signal to virtual inertia control to obtain a system frequency optimal control effect. According to the method, the additional frequency modulation power can be obtained by considering accuracy and efficiency, the advantages of rapidness, flexibility and high plasticity of fan power adjustment are fully utilized, and the system frequency response dynamic characteristic is effectively improved.

The invention provides a cooling liquid flow regulation and control method and system for an immersed liquid cooling system, and the method comprises the steps: obtaining a set temperature of the liquid cooling system, obtaining a power interval of a liquid cooling distribution unit and a rotating speed interval of a cooling water pump based on the set temperature of the liquid cooling system, defining a first random process based on a Monte Carlo algorithm, and obtaining a first random liquid cooling sample; defining a second random process based on a random forest algorithm and obtaining a second random liquid cooling sample, executing a particle swarm optimization algorithm on the first random liquid cooling sample to obtain a first optimized liquid cooling regulation and control parameter, executing the random forest algorithm on the second random liquid cooling sample to obtain a second optimized liquid cooling regulation and control parameter, based on the root locus diagram of the liquid cooling second-order transfer function, stability judgment is carried out, and optimized liquid cooling regulation and control parameters or fused liquid cooling regulation and control parameters are obtained; and importing the optimized liquid cooling regulation and control parameters or the fused liquid cooling regulation and control parameters into a liquid cooling regulation and control module, thereby improving the cooling effect of the immersed liquid cooling system on a server or IT equipment.

The invention discloses a signal reconstruction denoising method for circuit breaker mechanical state evaluation and a storage medium. In order to solve the problems of multi-source signal aliasing and strong noise interference of the double-break vacuum circuit breaker, a technical route combining mechanical transfer function modeling and a double-flow deep network is innovatively adopted. A complex vibration source is analyzed by constructing a signal coupling model, environmental noise is accurately filtered by using a multi-stage noise reduction strategy, and a multi-dimensional state vector is constructed by fusing time-frequency domain features, so that accurate evaluation of the health state of the equipment is realized. Experiments show that the method is remarkably superior to the prior art in signal denoising, feature extraction precision and diagnosis accuracy, and an efficient solution is provided for intelligent operation and maintenance of power equipment.

The invention discloses a servo system speed loop parameter self-tuning method based on digital-analog linkage. The method comprises the following steps: establishing an open-loop transfer function of a speed loop of a servo system; parameters of a speed ring are initialized, a same-frequency and same-amplitude speed instruction is sent to a motor to drive a load to operate, and the total rotation inertia of the motor is calculated; a mapping relation equation is determined, and parameters of a speed PI controller are obtained; discretizing the parameters of the speed PI controller by adopting a bilinear method to obtain a discrete proportional gain and a discrete integral gain; determining constraint conditions of the servo system and calculating an evaluation function value according to the ITAE performance evaluation function; obtaining optimal control parameters by adopting a coordinate rotation method; corresponding discrete proportional gain and discrete integral gain are calculated according to the optimal control parameters to serve as parameters of a speed PI controller to complete parameter setting, and load operation is achieved according to a speed instruction. According to the method, the setting process is more efficient, the calculation parameters are more accurate, the manual debugging time can be greatly shortened, and the universality is good.

The invention provides a power grid cable real-time current detection method and system, and the method comprises the steps: carrying out the multi-frequency-band synchronous collection of the current of a cable shielding layer for a high-voltage DC power transmission system with multiple loops laid in parallel, and obtaining the time-space information data; an electromagnetic coupling transfer function is calculated based on the data, and an electromagnetic coupling coefficient matrix is constructed, so that near-end cross induction current is separated to obtain a real current signal; establishing a cable dispersion model by using a real current signal, and performing fault feature recognition by combining a time domain criterion, a frequency domain criterion and time-frequency joint entropy analysis; and finally, calculating a credibility index by combining the temperature gradient and the electromagnetic environment parameters, correcting a preliminary judgment result and generating a protection control signal. According to the method, the near-end cross induction current and the real fault current can be effectively distinguished, the problem that the protection system of the multi-end high-voltage direct current system operates by mistake or does not operate in the power-on transient period is solved, and the reliability of the system is improved.

The invention discloses a broadband oscillation identification method and system based on a multi-band Nyquist criterion, and the method comprises the steps: dividing the frequency of broadband oscillation into a low frequency band, a middle frequency band and a high frequency band with overlapped frequency bands, and obtaining the oscillation signals of a monitoring node in a power grid in different frequency bands; respectively calculating the equivalent impedance of the non-overlapped frequency band of each frequency band and the equivalent impedance of the overlapped frequency band in the two adjacent frequency bands so as to construct the equivalent impedance of the low frequency band, the middle frequency band and the high frequency band with the overlapped frequency bands; establishing a Nyquist criterion of each frequency band based on a transfer function of dynamic characteristics of each frequency band in an open-loop state of the system; a generalized Nyquist criterion of the overlapped frequency bands is constructed by using the multi-frequency-band coupling matrix; constructing a comprehensive decision function according to the recognition result of the generalized Nyquist criterion on the system stability, the broadband oscillation comprehensive characteristic quantity and the change rate of the high-frequency-band impedance module value along with the frequency; and according to the value of the comprehensive decision function and a threshold value, a broadband oscillation identification result is determined, and the broadband oscillation identification capability is improved.

The invention relates to the technical field of data processing, and discloses a secondary equipment hidden danger mining method and system based on a wave recording file and monitoring data. The method comprises the steps of calculating a conditional probability and intervention probability difference identification causal relationship by analyzing a recording file in combination with equipment topology and protection logic to construct a correlation graph, and performing Fourier transform and wavelet decomposition on a sampling sequence to extract multi-scale features; small signal test excitation is injected, a system identification estimation transfer function is fused with monitoring data to form a health feature vector to judge a health state, and a correlation map and the health state are input into a map neural network to calculate weighted attention coefficients and aggregate neighbor information to predict a fault propagation path; and establishing a degradation model, correcting the failure rate, predicting the residual life and generating a graded early warning report. According to the method and the device, the transformation from passive post analysis to active predictive maintenance is realized, and the timeliness, accuracy and systematicness of hidden danger identification of the secondary equipment are improved.

The invention discloses a stability evaluation and optimization method for a multi-infeed series-parallel new energy station based on equivalent external characteristics of a network construction type converter, and belongs to the technical field of electric power automation. Comprising the following steps: constructing a new energy multi-infeed hybrid system stability analysis closed-loop dynamic model, and simplifying a network construction type admittance transfer function; based on a stability analysis closed-loop dynamic model of the new energy multi-infeed series-parallel system, simplifying the new energy multi-infeed series-parallel system into an equivalent single-infeed system, and evaluating the stability of the equivalent single-infeed system through a generalized operation short-circuit ratio and a critical generalized operation short-circuit ratio; analyzing and quantifying the influence of key parameters of the network construction type equipment on the stability of the system through a parameter sensitivity analysis method; a node participation factor is used as an evaluation index, and control parameters are optimized based on a stability optimization method of key parameters of network construction type equipment of system weak nodes. The method provided by the invention has good effectiveness and reliability, and can realize gradual improvement and refined regulation and control of the system stability.

The invention discloses a memory read-write consistency testing method and system, and relates to the technical field of memory testing. Comprising the steps of S1, performing crosstalk coupling modeling: constructing an interlayer crosstalk coupling transfer function according to a quantum tunneling current curve and a three-dimensional parasitic parameter matrix; s2, constructing a three-dimensional failure probability model: obtaining a plane coupling error distribution diagram, and generating an interlayer crosstalk coefficient matrix according to the interlayer crosstalk coupling transfer function; and S3, identifying electromagnetic coupling hot spot regions: determining a risk level of each region according to the three-dimensional failure probability, setting test parameters according to the risk levels, and performing read-write test on the to-be-tested memory through the test parameters. According to the method, three-dimensional quantitative modeling of cross-layer interference is realized, so that the detection range is expanded from a plane to a three-dimensional structure, and a blind area of interlayer electromagnetic coupling in a traditional method is solved.

The invention provides a low-frequency power suppression method and system based on power module topology. Obtaining a first transfer function of electromagnetic coupling between the power decoupling branch and the main power loop, and obtaining a target path and target coupling strength of electromagnetic coupling between the power decoupling branch and the main power loop and a transfer characteristic and an influence degree of electromagnetic interference between the power decoupling branch and the main power loop through simulation analysis; and constructing a filter circuit for suppressing electromagnetic interference to adjust and optimize the circuit layout and wiring of the power decoupling branch and the main power loop, and adjusting device parameters until the optimized circuit topology meets a preset power suppression requirement. The problems that parameters such as parasitic inductance and capacitance in circuit design in the prior art are difficult to control, interference of the coupling effect on the circuit cannot be effectively controlled, and the circuit stability is poor are solved. According to the invention, the electromagnetic coupling interference between the power decoupling branch and the main power loop is effectively reduced, and the electromagnetic compatibility of the power module is improved.

The invention discloses a control method, device and equipment for a current loop of a permanent magnet synchronous motor and a storage medium, and relates to the technical field of electric vehicle driving motors, and the control method for the current loop of the permanent magnet synchronous motor comprises the steps: obtaining an input voltage; a current loop is controlled according to a target motor mathematical model and the input voltage, the target motor mathematical model is obtained by adjusting an initial model, and adjustment is based on the required torque, a rectangular axis open-loop transfer function and a zero-pole mutual elimination function. The initial model is constructed according to a target quadrature-axis voltage equation, a dynamic inductance parameter value, a locked-rotor test and a difference strategy, and the dynamic inductance parameter value and the target quadrature-axis voltage equation are at least calculated by three items of an initial quadrature-axis voltage equation, dynamic inductance, a quadrature-axis flux linkage equation and a back electromotive force-flux linkage relation. According to the invention, the control precision, efficiency and response speed of the permanent magnet synchronous motor are improved, and the robustness of the system is enhanced.

The invention relates to a design and parameter setting method for an active power controller of a network construction type converter. The method comprises the following steps: determining performance index requirements of the active power controller of the network construction type converter; according to performance index requirements and an automatic control principle, a mathematical model of an active power loop of a grid-connected inverter is used as a to-be-corrected object, proper rotational inertia and damping coefficient are selected to calculate steady-state gain, and then a controller is designed; according to a Bode diagram of a system open-loop transfer function after the controller is added, verifying whether the controller meets performance index requirements or not; the controller is corrected, a system open-loop transfer function at the moment is regarded as a new object to be corrected, and a correction network is designed according to frequency domain characteristics of the new object to be corrected; and correcting the new to-be-corrected object by adopting the correction network to obtain the final active power controller of the network construction type converter. According to the method, the active power controller meeting the performance index requirements is efficiently designed, and a theoretical basis is provided for the design of a control loop of a network-forming converter.

The invention discloses a new energy station equivalent synchronous machine inertia evaluation method, which comprises the following steps of: constructing a multi-machine system frequency response model containing new energy virtual inertia frequency modulation to obtain a system transfer function; determining the supporting effects of different new energy power system frequency modulation parameters on the frequency; performing simulation to obtain data pairs of new energy frequency modulation control parameters, unit power response time constants and frequency indexes, and a three-dimensional curved surface representing a new energy frequency modulation control effect; removing a new energy virtual inertia frequency modulation module in the frequency response model, and fitting a correlation representation model of power grid inertia frequency modulation capability evaluation parameters and frequency indexes by using a polynomial based on the data set; and a frequency index is used as an intermediate variable, and a three-dimensional curved surface of new energy frequency modulation control parameters and response speed-equivalent synchronous machine inertia is obtained based on a frequency index equivalence principle. According to the method, the influence of the new energy self-response dynamic state and the control parameters can be comprehensively considered, and the virtual inertia frequency supporting capability of the new energy station is correctly evaluated.

The invention discloses a cylinder pressure virtual measurement method based on a physical information neural network. The method comprises the following steps: acquiring a cylinder cover vibration signal and a cylinder pressure signal of a certain cylinder in a specific time period under different loads; constructing a physical information neural network, taking a cylinder cover vibration signal as an input, and taking a corresponding cylinder pressure signal as an output; determining a transfer function of the cylinder cover system under different loads as a physical constraint, and embedding the physical constraint into the neural network in a form of constructing a loss function; training a physical information neural network by using cylinder cover vibration signals and cylinder pressure signals of the cylinder in specific time periods under different loads, wherein the cylinder cover vibration signals and the cylinder pressure signals under different loads use physical constraints under corresponding loads; and inputting the cylinder cover vibration signal in the specific time period into the trained physical information neural network to obtain a corresponding cylinder pressure signal. The cylinder pressure is predicted through the cylinder cover vibration signal by using the neural network, and the transfer function of the cylinder cover system is introduced, so that the cylinder pressure can be accurately obtained.

The invention belongs to the technical field of electronic equipment thermal management, and discloses an electronic equipment thermal field rapid prediction method for multi-physical field strong coupling. According to the method, a layered heat source intensity distribution model is constructed, a grid mapping relation topological graph technology and a boundary node energy conservation compensation mechanism are developed, a multi-time scale coupling transfer function is designed, and a dynamic adjustment strategy based on phase deviation analysis is introduced. According to the method, the non-uniform heat source distribution and thermal diffusion dynamic characteristics under the high-frequency condition are accurately captured, the energy consistency of multi-physical field coupling is ensured, the thermal field prediction precision is improved, particularly, the method has outstanding advantages in the aspect of phase and amplitude prediction of transient thermal response, and meanwhile calculation resource consumption is greatly reduced.

The invention discloses a method for establishing a small signal analysis model of a hybrid synchronous new energy networking converter. The method comprises the following steps: determining a control strategy of the hybrid synchronous networking converter; establishing an s-domain mathematical model under a dq rotating coordinate system, and based on the hybrid synchronous network construction type converter control strategy, when power synchronization control is subjected to small disturbance, linearizing an active control loop to obtain a small signal model of active power and a small signal model of a synchronization loop in the hybrid synchronous control strategy; when the synchronous loop small signal mode control system is subjected to small disturbance, determining a small signal model of each variable and a small signal matrix model of voltage and current double-closed-loop control, establishing a relation between the internal potential and the output power, and performing linearization; determining a small signal model of the hybrid synchronous networking converter; and constructing a transfer function between the small interference signal of the output phase of the active power loop and the small interference signal of the potential phase in the converter.

The invention provides a temperature control method, semiconductor processing equipment and a computer readable storage medium. The temperature control method comprises the following steps that the temperature deviation E between the actual temperature and the target temperature of the heating disc and the change rate EC of the temperature deviation are obtained; according to the temperature deviation E and the change rate EC of the temperature deviation, determining a proportionality coefficient, an integral coefficient and a differential coefficient which are used for performing fuzzy control on the temperature of the heating plate; establishing a transfer function of a temperature control system of the heating disc; and adjusting the actual temperature of the heating plate to the target temperature according to the proportionality coefficient, the integral coefficient, the differential coefficient and the transfer function. The method can be used for controlling the reaction temperature in the process chamber so as to reduce the temperature oscillation time in the temperature control process, thereby improving the quality of the thin film deposition process.

An eye-diagram index analytic method includes: calculating a transfer function of multiple coupled lines; converting the transfer function into a pulse response; calculating an eye-diagram index according to the pulse response; and correcting the eye-diagram index according to peak distortion analysis.

The invention belongs to the technical field of power system risk assessment, and particularly relates to a new energy station broadband oscillation risk redisk assessment method based on multivariate data, which comprises the following steps: performing data acquisition and data preprocessing on a new energy station-power grid coupling system to obtain a historical data set; extracting oscillation characteristic indexes to form index vectors; carrying out oscillation frequency source positioning analysis, calculating a time-frequency spectrum energy function to obtain an oscillation energy spectrum, carrying out main frequency energy track extraction, and introducing a frequency-power cross analysis mechanism to realize accurate identification of an oscillation source device; constructing a source-network coupled transfer function, performing stability margin calculation, and judging the stable state of the coupled system; and based on the index vector and the stability margin, carrying out oscillation risk grade division, and combining a source positioning result to generate an oscillation redisk map. According to the invention, panoramic recovery and risk quantitative evaluation of the broadband oscillation problem of the new energy field station can be realized.

The invention relates to the technical field of bolt length detection data processing, in particular to a bolt length detection system, which is characterized in that a three-dimensional data acquisition module generates a high-density point cloud and extracts a thread curvature extreme point, and a dynamic model matching module screens an optimal lead angle parameter based on a Hausdorff distance; and constructing an axial expansion model carrying phase offset gradient features. The projection mapping correction module adopts a genetic algorithm to optimize a compensation coefficient matrix, and generates a dynamic weight correction parameter to suppress geometric distortion; and the phase error correction module combines Fourier spectrum decomposition and an exponential decay weight coefficient to construct a frequency domain transfer function to eliminate an axial accumulative error. According to the method, the problems of projection distortion and phase deviation caused by the lead angle are effectively solved through geometric-phase double-domain correction, dynamic parameter iteration and an error collaborative suppression mechanism, and the spatial positioning precision of the feature points at the tail end of the thread is improved.