14 results about "Transient response analysis" patented technology

The invention relates to a power supply switching control optimization method and system, and the method comprises the steps: constructing a multi-dimensional data fusion monitoring system, integrating a real-time voltage ripple coefficient detection module of a main power supply, a load transient response analysis module and an environment temperature and humidity sensor array, and generating a dynamic health degree index; the method comprises the following steps: establishing a fault prediction model based on transfer learning, pre-training through multi-scene failure data in a historical database, receiving a health degree index in real time, outputting a reliability attenuation curve, and activating a dual verification mechanism when the slope of the attenuation curve exceeds a preset threshold; extracting characteristic energy distribution of a frequency band of 0.1-10 kHz; executing a transient load impact test, and measuring dynamic response parameters of voltage recovery time and overshoot amplitude; and generating a switching confidence score based on cross processing of the dual verification result and the attenuation curve, and triggering a hierarchical switching instruction. The accuracy of the switching time of the main power supply and the standby power supply can be improved.

The invention relates to the technical field of motor control, in particular to a variable frequency motor dynamic adaptive control method and system based on multi-parameter analysis. The method comprises the following steps: collecting a multi-dimensional electrical operation monitoring parameter flow of a variable frequency motor, carrying out multi-parameter nonlinear correlation analysis and parameter topological correlation reconstruction, and constructing a multi-dimensional feature topological correlation network; a variable frequency motor multi-working-condition travel history database is obtained, multi-working-condition disturbance transient response analysis is carried out, multi-modal behavior prediction evolution is carried out based on the multi-dimensional feature topological association network, and a dynamic multi-modal behavior prediction engine is constructed; and acquiring multi-part electromagnetic sensing parameters of the motor, and performing abnormal electromagnetic intensity fluctuation detection and abnormal part power loss calculation to obtain abnormal part power loss characteristics. The self-adaptive real-time parameter motor control is realized, the energy efficiency of the motor is improved, the maintenance frequency and cost are reduced, and the full-life-cycle optimal control of the motor is realized.

The invention relates to the field of data visualization, in particular to a data visualization method and system for an intelligent automobile data recorder of an electric vehicle. The method comprises the following steps: acquiring a real-time video stream of a driving scene based on an intelligent automobile data recorder, performing motion visual jitter elimination compensation and multi-level scene target feature perception, and constructing a multi-level scene target information sequence; performing space-time connection rendering according to the multi-level scene target information sequence, and performing scene evolution smoothing processing so as to construct a dynamic driving scene topology rendering model; vehicle running state parameters are obtained, multi-parameter correlation analysis and vehicle transient response analysis are carried out, and a real-time vehicle state evaluation report is constructed; and performing multi-target constraint calculation based on the dynamic driving scene topology rendering model, and performing optimal vehicle speed prediction to obtain the optimal vehicle speed. According to the invention, through multi-dimensional driving visual rendering, good real-time feedback and behavior early warning are provided for the user.

The invention discloses a transient response calculation method for a complete machine model with a gap support. The method comprises the following steps that SS1, whole machine nonlinear modeling of a rotor-bearing-casing system is carried out, linear component modeling of a whole machine structure and nonlinear modeling of a gap bearing are included, linear component modeling of the whole machine structure comprises rotor modeling, casing modeling, linear bearing modeling and installation section modeling, and linear component modeling of the whole machine structure comprises linear component modeling of the rotor-bearing-casing system and linear component modeling of the gap bearing; the non-linear modeling of the gap support comprises non-linear modeling considering friction influence and contact influence, and a whole machine non-linear rotor dynamic model is constructed; step SS2, response calculation of a Newmark method based on variable step size control is carried out; and step SS3, extracting transient responses of each node of the rotor, the support and the casing. According to the method provided by the invention, the fit clearance between the rotor journal and the bearing inner ring and the influence of the casing are considered at the same time, the transient response of the rotor-bearing-casing system is calculated, the vibration characteristics of the whole machine with the clearance bearing are analyzed, and support is provided for the structural design of an engine.

The invention relates to the technical field of vapor-liquid two-phase cooling, and discloses a vapor-liquid two-phase cooling method and system based on phase change immersion. The method comprises the following steps: acquiring a multi-modal monitoring data set of a target cooling system; performing spatial gradient feature extraction, transient response analysis and motion mode analysis processing on the data to obtain a temperature field feature matrix, a thermal load fluctuation vector and a bubble dynamics feature sequence; performing multi-physical field coupling processing on the features to generate a fusion cooling state feature set; a pre-configured multi-phase flow simulation model is called to carry out cooling efficiency evaluation, and a cooling efficiency index set containing the correlation mapping relation between the working medium flow characteristics and the heat exchange efficiency is generated; performing collaborative anomaly traceability processing based on the mapping relationship, and generating a phase change anomaly traceability report for identifying an abnormal boiling region and a working medium flow defect mode; and generating a cooling parameter self-adaptive control strategy according to the traceability report, and sending the cooling parameter self-adaptive control strategy to a cooling control system to execute real-time parameter adjustment.

The invention provides a flow-induced vibration analysis method for a large top-exposed plane gate with high submerging water depth. The flow-induced vibration analysis method comprises the steps that a hydraulic parameter set and a gate structure parameter set corresponding to an ultrahigh submerging ratio submerging outflow working condition are obtained; constructing a three-dimensional fluid-structure interaction numerical model comprising a gate solid domain and a water flow fluid domain based on the hydraulic parameter set and the gate structure parameter set; calculating a pressure pulsation load component and a vortex-induced vibration load component distributed on the surface of the gate through the three-dimensional fluid-solid coupling numerical model; inputting the pressure pulsation load component and the vortex-induced vibration load component into a gate structure dynamics solver for transient response analysis, and outputting a gate vibration displacement distribution map and a key component dynamic stress data set; and generating a flow-induced vibration safety performance evaluation conclusion according to the vibration displacement distribution map and the key component dynamic stress data set. The operation reliability and safety of the large top-exposed plane gate under complex working conditions can be improved.

The invention relates to a rocket pulsating pressure load time domain design method, and belongs to the technical field of aerospace systems. Performing a wind tunnel test on the scale model of the carrier rocket, and determining a distribution rule of arterial pressure; selecting an external force identification vibration measuring point according to the actual flight condition of the carrier rocket; preprocessing vibration data collected by the external force identification vibration measuring points to obtain vibration telemetering time domain data; acquiring a time-domain external force spectrogram of the single launch of the carrier rocket; repeating the steps for m-1 times to obtain the time domain external force spectrogram envelope of m launch times of the carrier rocket, namely the time domain curve of the carrier rocket external force model; m is a positive integer not less than 5; according to the time domain curve of the carrier rocket external force model and the scale model of the carrier rocket, the pulsating pressure load of the rocket is obtained; through transient response analysis of the high-precision kinetic model, a time domain calculation method for the pulsating pressure elastic load is obtained, and effective load shedding of the rocket flight transverse elastic load is achieved.

The invention discloses a reduced order modeling method for online state monitoring of a wind turbine generator blade, which comprises the following steps of: 1) constructing a kinetic equation of the wind turbine generator blade by using a central rigid body-flexible beam model, and dispersing the kinetic equation by using a finite element method to obtain a finite element model; (2) solving the finite element model obtained in the step (1) to obtain a displacement solution set of blade nodes, constructing a transformation matrix through the displacement solution set of the nodes, and performing order reduction on the finite element model obtained in the step (1) by using the transformation matrix to construct an order reduction model; 3) giving the geometric dimension of the wind turbine generator blade and the actual operation parameters of the wind turbine generator, respectively calculating the transverse displacement of the tail end of the blade by using the reduced order model and the finite element model, comparing the precision of the reduced order model with different reduced order numbers, and selecting a proper reduced order number; a calculation result shows that the calculation cost of transient response analysis is effectively reduced on the premise that the blade transient response calculation precision is guaranteed.

The invention belongs to the technical field of steel structure floor design, and particularly relates to a transient response analysis method for converting structural damping into equivalent viscous damping in a full frequency band, which comprises the following steps of: 1, establishing a finite element model of a structure, and outputting characteristic matrixes of the structure, including a stiffness matrix and a mass matrix; 2, performing modal analysis based on the finite element model of the structure to obtain a modal matrix of the structure; 3, calculating a generalized stiffness matrix and a generalized mass matrix of the structure based on the stiffness matrix, the mass matrix and the modal matrix; step 4, calculating viscous damping of each order vibration mode of the structure based on the generalized stiffness matrix; 5, calculating the transient response of each order vibration mode of the structure based on the generalized stiffness matrix, the generalized mass matrix and the viscous damping of each order vibration mode of the structure; and 6, converting the transient response of each order vibration mode of the structure to a physical coordinate to obtain the transient response of the structure at each moment.

A method for obtaining micro-vibration test conditions for aerospace vehicles involves: searching for micro-vibration disturbance sources during the vehicle's on-orbit operation; classifying the micro-vibration disturbance sources and identifying those that cannot be avoided; conducting micro-vibration environment measurement tests on the unavoidable disturbance sources to obtain the time-domain curve of the maximum vibration environment of the disturbance sources; establishing a finite element model for micro-vibration response analysis; conducting transient response analysis to determine the micro-vibration response of precision instruments; converting the time-domain curve of the micro-vibration response of the precision instruments into a frequency-domain curve and performing envelope design to obtain the micro-vibration test conditions of the precision instruments for subsequent experimental verification.

The invention provides a vibration response modeling and analysis method for a forward-backward swept and up-down reverse blade tip configuration helicopter. The method comprises the following steps: establishing system coordinate systems and a relationship between the coordinate systems; establishing a rotor blade structure dynamic model; establishing a rotor blade aerodynamic model; establishing dynamic and pneumatic models of the blade tip section; establishing a body structure dynamic model; establishing an airframe aerodynamic model; establishing a complex three-dimensional shape rotor wing and body coupling mode comprehensive model, and deducing a kinetic equation; discretizing finite elements of space coordinates of the blades in the kinetic equation; balancing analysis is carried out; solving vibration response by a time finite element method; and transient response analysis.

The present invention discloses a method for optimizing the scheduling and control of heliostat fields in a solar tower-type solar thermal power station, which relates to the field of solar thermal power generation technology and includes the following steps: continuously and synchronously acquiring the temperature distribution matrix and heat flux density matrix of the tower top receiver surface with a millisecond sampling period, respectively recording their continuous change processes in the time dimension, and forming a thermal characteristic input data set for transient response analysis. The present invention generates a transient thermal shock intensity index with predictive capabilities by constructing a joint characteristic sequence of temperature and heat flux, thereby realizing feedforward identification and adaptive regulation of thermal disturbances. The system can actively adjust the working fluid flow rate and heliostat focusing behavior before a thermal shock occurs, dynamically balance heat input and conduction capacity, effectively prevent faults such as overheating and overpressure, and improve the receiver life and the operating efficiency of the solar thermal power generation system.

To realize a deterioration diagnosis method that can determine a deterioration state of a storage battery with high accuracy from circuit characteristics of the storage battery during charging and discharging.SOLUTION: A deterioration diagnosis method measures temperature (T) of a battery (90) in operation and current (Ib) and voltage (Vb) at predetermined intervals, extracts a single pulse waveform or a single step waveform from the current (Ib), and if the current (Ib) and voltage (Vb) are determined to be suitable for transient response analysis based on the current (Ib) during a current rapid change period in the extracted waveform, performs transient response analysis based on the current (Ib) and voltage (Vb), and further performs diagnoses of the deterioration state of the battery (90) based on a series resistance component (Ri_st) at a reference temperature (Tst) which is corrected.SELECTED DRAWING: Figure 1

The present invention discloses a numerical analysis method for gas flow excitation of a thermal barrier coating on a turbine blade at high temperatures. An external flow field geometric model and a geometric model of a turbine blade with a thermal barrier coating are established, and computational grids are respectively set; the finite element software is used to perform modal analysis on the geometric model of the turbine blade to obtain its resonance characteristics and critical speed; the fluid analysis software is used to perform steady-state aerodynamic analysis on the external flow field geometric model to obtain its steady-state flow field and steady-state temperature field, and the steady-state flow field and steady-state temperature field are used as the initial conditions of the unsteady flow field for unsteady aerodynamic analysis to obtain the pressure field on the surface of the turbine blade that changes periodically with time; the obtained pressure field is interpolated onto the surface of the thermal barrier coating, the steady-state temperature field is imported into the thermal barrier coating and the turbine blade, and transient response analysis is performed to obtain the stress field and displacement field at different times; the fast Fourier transform is used to perform time-frequency spectrum transformation on the pressure field, stress field, and displacement field data at the dangerous position points to obtain the dynamic response amplitude and frequency of the thermal barrier coating under gas flow excitation.