52 results about "Resonance analysis" patented technology

The invention relates to the technical field of route planning, in particular to an underground cavern inspection method and system. The method comprises the following steps: acquiring geological survey data, micro-seismic monitoring data and historical deformation monitoring data; according to the geological survey data and the micro-seismic monitoring data, rock mass viscoelasticity local modeling is carried out, and a rock mass viscoelasticity model is obtained; performing deformation trend prediction according to the rock mass viscoelastic model and the historical deformation monitoring data to obtain deformation trend data; performing deformation disturbance resonance analysis according to the deformation trend data and the micro-seismic monitoring data to obtain deformation disturbance resonance data; performing risk area grading on the deformation disturbance resonance data to obtain risk area grading data; and generating a routing inspection graph according to the risk area grading data to obtain routing inspection graph data so as to carry out underground cavern routing inspection auxiliary operation. The method accurately identifies the potential risk area, dynamically plans the inspection task, and improves the inspection efficiency and decision timeliness.

The invention discloses a computing platform management system based on artificial intelligence, particularly relates to the technical field of distributed storage resource dynamic allocation, and is used for solving the problem of resource allocation oscillation caused by hardware performance difference and dynamic attenuation in the prior art. Acquiring the hardware performance, the load state and the data path of the storage node through a real-time acquisition module; the entropy judgment module calculates a path topology entropy and triggers a reconstruction instruction; the resonance analysis module analyzes the group association strength of hardware performance degradation and marks a resonance node group; the weight generation module fuses the parameters to generate a dynamic allocation weight; the error compensation module optimizes a weight coefficient in combination with historical error data; the migration execution module executes migration according to the weight and limits the load of the resonance node; through cooperative regulation and control of topological entropy monitoring and hardware resonance analysis, local oscillation diffusion is inhibited, unnecessary migration operation is reduced, system stability is improved, and the service life of hardware is prolonged.

The invention discloses a server energy-saving system and method based on a lag compensation type dynamic thermal impedance model, and relates to the field of server energy saving.By collecting operation data of a server hardware bottom layer in real time, a multi-dimensional thermal-computing force coupling time sequence atlas is constructed, and based on the multi-dimensional thermal-computing force coupling time sequence atlas, a dynamic thermal impedance model is established. Calculating a heat conduction time constant of hardware in a current environment; establishing a lag compensation type dynamic thermal impedance model based on the heat conduction time constant; constructing a thermodynamic phase space according to operation data; analyzing a noise reduction evolution trajectory in combination with the lag compensation type dynamic thermal impedance model; the method comprises the steps of generating a weighted thermal resonance state vector, activating an adaptive gain MPC predictive damping scheduling strategy based on the weighted thermal resonance state vector, constructing and solving a dynamic weighted multi-objective optimization function, generating an optimal damping scheduling instruction, and thoroughly solving the fan asthma phenomenon that the fan PWM duty ratio fluctuates substantially in a sine mode under the constant computing power load.

The invention discloses an intelligent evaluation system and intervention method for mental health of teenagers, and the method comprises the following steps: collecting multi-mode psychological signal data of the teenagers, and carrying out the preprocessing; establishing a cognitive energy field, and generating a cognitive energy time sequence curve; performing spectrum resonance analysis, and combining the spectrum resonance analysis with a cognitive energy time sequence curve; constructing a psychological topological graph, and calculating a topological complexity index; when the topology complexity index is continuously abnormal or the cognitive energy disturbance amplitude exceeds a set threshold value, a psychological risk early warning result is generated; after the psychological unstable state is detected, a cognitive energy feedback parameter set is generated, and cognitive energy balance intervention is executed; and after the intervention is finished, calculating an energy balance improvement rate, and when the energy balance improvement rate exceeds an energy balance threshold, judging that the intervention is finished. According to the method, multi-mode psychological signals and cognitive energy field modeling are fused, intelligent evaluation and dynamic intervention of the psychological state of the teenagers are achieved, and the method has the advantages of being high in accuracy, high in interpretability and closed in intervention loop.

The invention relates to the technical field of data processing, and discloses a high-voltage frequency conversion and speed regulation all-in-one machine fault diagnosis method and system, and the method comprises the steps: injecting a voltage signal with a preset characteristic frequency into a frequency converter control loop, and obtaining a mixed voltage signal of the frequency converter control loop; separating a common-mode current characteristic waveform of a current signal in the mixed voltage signal in an excitation state; performing high-frequency resonance analysis on the vibration signal of the end part of the stator winding to obtain an insulation defect characteristic frequency spectrum of the end part of the stator winding; performing time-frequency domain correlation analysis on the common-mode current characteristic waveform and the insulation defect characteristic frequency spectrum to obtain an insulation defect characteristic matrix of the high-voltage frequency conversion and speed regulation all-in-one machine; performing degradation degree evaluation on amplitude change and distribution modes of characteristic frequency components in the insulation defect characteristic matrix to obtain a winding insulation degradation level of the high-voltage frequency conversion and speed regulation all-in-one machine; according to the invention, the fault diagnosis accuracy of the high-voltage frequency conversion and speed regulation all-in-one machine can be improved.

The invention discloses a multi-frequency omnidirectional unmanned aerial vehicle active defense system and method, and the method comprises the steps: obtaining defense region parameters, and constructing a navigation signal generation task library based on the coverage requirements of GPSL1 and Beidou B1 / B2 / B3 frequency bands; resonance interference points are determined through carrier locking resonance analysis, Doppler frequency shift traps are designed, frequency shift fragility features are extracted in combination with C / A code recombination processing, and a targeted interference enhancement domain is constructed; the method comprises the following steps: respectively carrying out constellation topology reconstruction on a GPS (Global Positioning System) and a Beidou system, generating false orbit parameters through ephemeris data tampering, and forming a mixed defense signal domain by utilizing carrier phase interleaving processing; analyzing signal power to determine strong and weak interference areas, and setting graded attenuation parameters to construct a graded signal attenuation field; the attenuation field and the interference enhancement domain are fused to generate dynamic simulation parameters, false orbit parameters are adjusted in real time to generate a coordinate input mode, a high-dynamic navigation signal is reconstructed, a satellite working mode is selected, an L1 / B1 / B2 / B3 multi-band radio frequency output instruction is finally generated, and all-dimensional intelligent deception jamming of the unmanned aerial vehicle navigation system is achieved.

The invention provides a road dangerous chemical transportation system risk coupling assessment method based on FRAM-ISM-NK, and belongs to the technical field of road transportation safety. Comprising the following steps: identifying functional composition of a dangerous chemical transportation system based on a functional resonance analysis method (FRAM), determining risk functional elements of three core stages of transportation preparation, accident occurrence and emergency rescue, and analyzing variability; constructing a hierarchical structure relationship of risk function elements of each stage based on an interpretation structure model (ISM), and determining an action hierarchical relationship and weight between the elements; quantifying a coupling relationship between risk function elements in different stages by combining an NK model, and revealing a risk coupling mechanism; and based on the analysis result, establishing a risk transfer quantitative model, and identifying key risk function elements and risk control paths in each stage. The system depicts the multi-stage risk factor coupling relation of road hazardous chemical substance transportation, quantitatively identifies the risk transmission path and the key control link, and provides effective technical support for improving the safety of the transportation system.

The invention relates to an intelligent auxiliary monitoring system and method for a transformer substation, and relates to the technical field of power system monitoring, and the system comprises the steps: collecting multi-source heterogeneous data, constructing an equipment dynamic probability state superposition vector, analyzing quantitative data association through cognitive resonance to update the vector and calculate risk entropy, introducing a focusing control module, and carrying out the focusing control. The calculation intensity of the analysis module is dynamically adjusted according to the risk entropy, and efficient utilization of resources is realized while the monitoring sensitivity is ensured; and meanwhile, the system constructs a state evolution path, and performs dynamic time warping matching on the state evolution path and a preset restricted zone topology library to realize prospective evaluation of the risk evolution trend. And finally, an early warning module determines whether to trigger early warning based on a dual-mode criterion formed by a risk entropy absolute value and a path matching result, and generates a structured diagnosis report containing a potential fault mode and traceability evidence. According to the invention, early-stage, efficient and prospective intelligent early warning of latent faults can be realized, and the operation and inspection efficiency is remarkably improved.

The invention relates to the technical field of virtual synchronous generator control systems, in particular to a control system for suppressing VSG synchronous frequency resonance. The control system for suppressing VSG synchronous frequency resonance comprises a frequency detection unit used for monitoring synchronous frequency and phase change of the system in real time and identifying frequency fluctuation. According to the VSG system, the frequency detection unit, the resonance analysis unit and the compensation signal generation unit are arranged, the adaptability and stability of the VSG system in a power network are improved, synchronous frequency resonance is effectively suppressed by accurately monitoring and controlling the synchronous frequency, the quality and safety of power supply are guaranteed, and meanwhile, the service life of the VSG system is prolonged. A safety protection unit is further arranged in the system, potential fault risks can be effectively prevented, the reliability of the whole system is improved, the flexibility of system operation is enhanced through a user interface unit, a user can easily manage and monitor the state of the system, and therefore the satisfaction degree of the user is improved.

The present invention provides a coupled resonance analysis method for aircraft fluid pipes transmitting supercritical high-speed pulsating flow under forced excitation, which belongs to the field of aircraft dynamics. Based on the structural model of the aircraft fluid pipe, the present invention establishes a coupled resonance model of the aircraft fluid pipe induced by supercritical pulsating flow, and for the strong nonlinear coupled resonant behavior of the aircraft fluid pipe, establishes the perturbation-incremental harmonic balance method for bifurcation analysis for the first time. Furthermore, a numerical iteration method is used to solve the amplitude-frequency bifurcation relationship under a certain excitation amplitude, and the Floquet theory is used to evaluate the stability. Finally, a database of the excitation parameters and material parameters of the aircraft fluid pipe and the coupled resonance characteristics is constructed. The present invention can effectively analyze the coupled resonance characteristics of the aircraft fluid pipe when transmitting supercritical high-speed pulsating flow under forced excitation, and provides a reliable analysis method and technical support for the design and safe operation of the aircraft fluid pipe.

The invention discloses a safety helmet intelligent control method and system based on electroencephalogram characteristics, and the method comprises the steps: decomposing a real-time electroencephalogram signal frequency spectrum to generate cognitive load frequency domain characteristics, and building an electroencephalogram control space; an electroencephalogram control space is scanned to identify a frequency band coupling unbalance point, a cooperative intervention opportunity is reversely derived, and a multi-channel adjustment mode is formed; mapping the stimulation frequency range to generate a frequency matching domain, and performing resonance analysis to determine a resonance intervention window; monitoring a frequency band in a resonance window to obtain an energy migration track, constructing a risk propagation chain to identify a cascade failure node and forming a key blocking anchor point; analyzing risk acceleration of the key blocking anchor points to form a state deterioration rate, fusing frequency domain features to generate dynamic delay tolerance, and generating variable speed control parameters in a fast-slow grading manner; the variable speed control parameter is compared with a threshold value to generate a control deviation signal, reverse phase modulation is carried out to generate a hedging stimulation waveform, a phase compensation execution instruction is formed, and accurate monitoring and safe intervention of the cognitive state are achieved.

The invention discloses an acoustic emission real-time diagnosis method and an acoustic emission real-time diagnosis system for corrugated board degumming defects, and relates to the technical field of packaging material quality detection. Each group is provided with a class-A sensor located on the interface of the surface paper and the core paper, a class-B sensor located in the core paper and a class-C sensor located on the interface of the core paper and the bottom paper, the class-B sensor is in communication connection with the class-A sensor, the class-C sensor and the diagnosis main station, various sensors collect acoustic emission signals at corresponding positions and give an alarm, and the class-A sensor and the class-C sensor collect the signals and upload the signals to the class-B sensor; the B-type sensor collects internal signals of core paper and receives the A-type signals and the C-type signals, then multi-mode resonance analysis and time-frequency feature extraction are carried out, feature data are sent to the diagnosis master station, the master station dynamically models and analyzes the feature data based on a neural differential equation and judges and locates degumming defects, a signal threshold value is set in advance to assist in judgment, and the degumming defect is determined. Meanwhile, the degumming development trend can be predicted, and accurate real-time diagnosis and positioning are achieved.

This invention discloses an artificial intelligence-based computing platform management system, specifically relating to the field of dynamic allocation technology for distributed storage resources. It addresses the resource allocation oscillation problem caused by hardware performance differences and dynamic degradation in existing technologies. The system employs a real-time acquisition module to obtain the hardware performance, load status, and data paths of storage nodes; an entropy determination module to calculate the path topology entropy and trigger reconstruction instructions; a resonance analysis module to analyze the group correlation strength of hardware performance degradation and mark resonant node groups; a weight generation module to integrate the above parameters to generate dynamically allocated weights; an error compensation module to optimize weight coefficients based on historical error data; and a migration execution module to perform migrations based on the weights and limit the load on resonant nodes. Through the coordinated regulation of topology entropy monitoring and hardware resonance analysis, the system suppresses the spread of local oscillations, reduces unnecessary migration operations, and improves system stability and hardware lifespan.

The application discloses a method for evaluating performance of interlayer composite vibration isolation structure based on vibration feedback, and relates to the technical field of building structure analysis, and comprises the following steps: obtaining mechanical data of the composite vibration isolation structure, generating a first parameter through resonance analysis, and generating a second parameter through classified fault analysis; based on the first parameter, generating a sensor layout set through optimization of sensor layout, and based on the sensor layout set and the second parameter, generating a reinforcement strategy of each sensor layout node through machine learning to form a failure-resistant sensor network; obtaining real-time monitoring data of the failure-resistant sensor network, and obtaining a quantitative evaluation result of vibration isolation performance through transmission rate and boundary state analysis. The application is used to solve the problem of insufficient self-adaptation of the sensor layout strategy in the performance evaluation of the interlayer composite vibration isolation structure.

The invention relates to the technical field of civil aviation operation risk management and control, in particular to a flight full-chain operation situation risk assessment method, which comprises the steps of constructing a full-chain risk event library, determining trigger time, calculating peak time and standard deviation and amplitude of a Gaussian pulse function, and constructing a Gaussian pulse energy representation model of a full-chain risk event. Calculating a link coupling weight and a risk amplification coefficient of the full-chain functional resonance analysis-cascade model coupling network; and calculating the probability that the risk module enters an abnormal state at the next moment according to the risk amplification coefficient, selecting various parameters through Monte Carlo simulation, calculating the total risk energy according to the various parameters and the amplitude after coupling amplification, identifying the link control priority, and outputting the risk level of each operation stage. According to the method, accurate characterization of a full-chain risk event, quantitative calculation of a cross-stage coupling effect and accurate identification of a high-risk link are realized, and pertinence and effectiveness of flight full-process risk management and control are improved.

The invention relates to the technical field of concrete vibration, in particular to a PID fuzzy control system for automatic concrete vibration. The system abnormity identification module determines the credible abnormity weight of each sequence section of each vibrating rod according to the fluctuation characteristic of the vibration signal of the sequence section, the fluctuation difference characteristic of the sequence section and the other sequence sections and the vibration signal of the corresponding motor, and screens out the abnormal sequence section according to the credible abnormity weight; the resonance analysis module is used for determining a resonance risk index according to the distance between the abnormal sequence section and each comparison sequence section and the distance between the abnormal sequence section and the vibrating rod; correcting the credible exception weight by using a resonance risk index to obtain a comprehensive exception weight, and screening out a target exception sequence segment according to the comprehensive exception weight; the control module is used for distributing control weights to the sequence segments of the vibrating rods based on the target abnormal sequence segments and the comprehensive abnormal weights so as to form a control weight sequence; and a feedback signal of fuzzy control is modulated according to the control weight sequence, a vibrating rod adjusting instruction is generated, and therefore uneven concrete quality is avoided.

The present application relates to the technical field of resonance analysis, and in particular to a method and device for evaluating effectiveness of a parallel resonance suppression scheme in a power system. In the present application, a local parallel resonance suppression evaluation index and a non-local parallel resonance suppression evaluation index are constructed, and corresponding feasible regions are constructed, so as to evaluate the parallel resonance suppression effect of a resonance suppression method access node and the effect of parallel resonance of surrounding other nodes. The present application solves the problem that the application scene of a resonance suppression method is limited and the parallel resonance scene is not compatible with the resonance suppression method.

The invention discloses a distributed photovoltaic power distribution network risk assessment method based on function resonance analysis, which comprises the following steps: based on a function resonance theory, key function modules of a power distribution network are identified from four aspects of character management and loop, and each function module is completely defined through a six-element model; based on scene-level driving typical fault backtracking analysis, comprehensive risk indexes of a scene are calculated, and a'node-link-loop-scene 'system integrated risk assessment system is constructed. The method has the beneficial effects that a power distribution network risk propagation mechanism can be divided into a node-level system, a path-level system, a loop-level system and a scene-level system on the basis of the dynamic characteristics of the functional coupling relationship, and the risk of the power distribution network can be evaluated by constructing a'node-link-loop-scene 'four-level risk evaluation system; the accurate analysis of the multi-dimensional risk propagation mechanism of the high-proportion photovoltaic power distribution network is realized.

The invention provides an air resonance 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 an airframe kinetic model; establishing a complex three-dimensional shape rotor wing and fuselage coupling air resonance kinetic equation for derivation; balancing calculation and linearization processing are carried out; and establishing an air resonance analysis method.

The application provides a flexible direct-current (DC) transformer DC bias current calculation method and related device, including obtaining a resonance analysis model of a DC loop of a flexible DC transmission system converter; the resonance analysis model is constructed based on the physical structure of the DC loop of the flexible DC transmission system converter; the impedance at 50Hz in the resonance analysis model is obtained through frequency scanning, and whether the impedance is less than a set threshold; if yes, time domain simulation calculation is performed by using a multi-terminal DC detailed electromagnetic transient simulation model to obtain the DC bias current of the flexible DC transformer; the multi-terminal DC detailed electromagnetic transient simulation model is used for simulating the electromagnetic transient process of the multi-terminal flexible DC transmission system. The DC loop resonance analysis model is constructed to judge the impedance at 50Hz, and then the electromagnetic transient simulation model is used to calculate the DC bias current, so that the DC bias risk of the flexible DC transformer can be effectively evaluated.

The present invention relates to the technical field of intelligent dimensional data detection, and specifically discloses an intelligent detection system for geometric dimensional data of steel pipe ends. The system utilizes a high-frequency electromagnetic wave generator to generate an electromagnetic field within a specific frequency range, and arranges multiple highly sensitive electromagnetic sensors around the steel pipe to capture in real time the resonant frequency change data of each position point on the steel pipe end surface under each frequency resonance mode. The system then analyzes the resonant frequency change data to identify the inclination of the steel pipe end surface under different frequency resonance modes, and ultimately identifies the final value of the inclination of the steel pipe end surface. By utilizing high-frequency electromagnetic waves and highly sensitive sensors to detect the inclination of the steel pipe end surface, and through multi-frequency resonance analysis, the system can provide a comprehensive inclination assessment, ensuring product quality while also providing important data support for optimizing the production process.

The present invention discloses a risk analysis method for a civil aircraft cockpit human-machine system based on node resilience assessment, comprising the following steps: analyzing flight crew operational tasks during typical flight phases; analyzing and decomposing cockpit human-machine system functions based on a functional resonance analysis method to identify key functional units of the human-machine system; analyzing the output characteristics of the functions, considering the internal and external influencing factors of the functions, obtaining function failure links, and constructing a human-machine system risk propagation network model; calculating the propagation index of each node in the human-machine system risk propagation network; and calculating the node resilience value using a random simulation method based on a node resilience assessment method to analyze key nodes in the human-machine system. The present invention can analyze risk events and the degree of damage to the system in complex human-machine systems, and is of great significance and value for improving the safety, risk resistance, and resilience of human-machine systems in future intelligent aircraft cockpits.

The invention discloses an airborne hydrogen system safety analysis method, system, device and medium, and relates to the technical field of aviation safety, and the method comprises the steps: building a functional resonance confrontation hierarchy model; dividing the whole system through the functional feature description of the airborne hydrogen system of the functional resonance analysis method to obtain the functional resonance influence of the sub-components, and drawing a dynamic interaction network of the functional modules of the sub-components; performing dimension reduction and simplification on the dynamic interaction network, and obtaining a reachable matrix; performing adversarial layer extraction on the obtained data based on a reachable matrix to obtain overall division of a resonance model; and hierarchy importance and structure importance are obtained through topological structure data analysis, and airborne hydrogen system safety analysis is carried out. According to the method, the functional resonance confrontation hierarchy model is established, and a series of technical problems that an analysis method of an airborne hydrogen system in the prior art is greatly influenced by subjective effects of researchers, hierarchy fuzziness occurs in hierarchy division and the like can be solved.

The application discloses an airborne hydrogen system safety analysis method, system, equipment and medium, and relates to the technical field of aviation safety, and comprises the following steps: a function resonance confrontation hierarchical model is established; the function resonance influence of a subcomponent is obtained by dividing the overall system through function resonance analysis method of the function feature description of the airborne hydrogen system, and a dynamic interaction network of the function module of the subcomponent is drawn; the dynamic interaction network is simplified by dimension reduction, and a reachable matrix is obtained; the obtained data is subjected to confrontation layer extraction based on the reachable matrix, and overall division of the resonance model is obtained; hierarchical importance and structural importance are obtained through topological structure data analysis, and safety analysis of the airborne hydrogen system is carried out. The application establishes the function resonance confrontation hierarchical model, and can solve a series of technical problems such as that the analysis method of the prior art airborne hydrogen system is greatly influenced by the subjectivity of researchers, and hierarchical blurring occurs in the internal hierarchical division.

This application provides a method for forced response analysis of an integral bladed disk (IBD), comprising: constructing a finite element model of an IBD sector; conducting disk-coupled resonance analysis of the finite element model to obtain the frequency, mode shape, and relative vibration stress of the IBD blades under one to multiple node diameters, and plotting disk-coupled resonance diagrams; determining the critical node diameter related to the number of rotor and stator blades; determining the frequency order and corresponding critical resonance speed by combining the plotted disk-coupled resonance diagrams and the critical node diameter; performing damping tests on the IBD blades to obtain the frequency order and corresponding modal damping ratios; establishing a full-ring model of the IBD rotor blades and the stator blades before and after them; conducting steady flow field analysis of the full-ring model to obtain steady results as the initial field conditions for unsteady flow field analysis; conducting unsteady flow field analysis to obtain the actual vibration stress of the IBD; and conducting dynamic strength reserve analysis to evaluate the dynamic strength reserve of the high-load IBD under the analysis conditions.

The application discloses a server energy-saving system and method based on a lag compensation type dynamic thermal impedance model, relates to the field of server energy saving, and solves the fan asthma phenomenon of a large amplitude sine fluctuation of a fan PWM duty cycle under constant computing power load through the following steps: collecting operation data of a server hardware bottom layer in real time, constructing a multi-dimensional heat-computing power coupling time sequence graph, solving a heat conduction time constant under a current environment of hardware based on the multi-dimensional heat-computing power coupling time sequence graph, establishing a lag compensation type dynamic thermal impedance model based on the heat conduction time constant, constructing a thermodynamic phase space according to the operation data, analyzing a noise reduction evolution track in combination with the lag compensation type dynamic thermal impedance model, performing a delay-induced strong resonance analysis based on the noise reduction evolution track, generating a weighted heat resonance state vector, activating an adaptive gain MPC predictive damping scheduling strategy based on the weighted heat resonance state vector, constructing and solving a dynamic weighted multi-objective optimization function, and generating an optimal damping scheduling instruction.

The invention provides a ship surface resonance modeling and analysis method for a front-back sweep 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 single undercarriage motion model; establishing a motion model of the airframe on the ship surface; establishing a complex three-dimensional shape rotor wing / aircraft body / ship surface coupling kinetic model, and deducing a kinetic equation; and establishing a ship surface resonance analysis method.

The invention discloses a grid-side current harmonic suppression method based on a five-phase permanent magnet synchronous motor driving system, and belongs to the technical field of motor driving and control. Firstly, a five-phase permanent magnet synchronous motor and non-electrolytic capacitor driving system model is established, and LC resonance analysis is carried out; extracting grid-side characteristic sub-harmonics through a band-pass filter, generating virtual damping through a PR resonance controller, and converting the virtual damping into a shaft voltage compensation instruction; extracting a grid-side input current harmonic component in real time, and combining the grid-side input current harmonic component with the output of a rotating speed loop through a PI regulator to form a final given inverter power; the compensation power is decoupled and injected into a motor shaft voltage component, and driving control is achieved in cooperation with five-phase carrier pulse width modulation. According to the invention, the grid-side current harmonic suppression under the drive system of the five-phase permanent magnet synchronous motor without the electrolytic capacitor is realized, the size of the electrolytic capacitor is saved, no extra hardware equipment is needed to carry out bus voltage resonance suppression, and the stability under the condition that the power grid is unbalanced is improved.

The application discloses a safety helmet intelligent control method and system based on electroencephalogram features, generates cognitive load frequency domain features by real-time electroencephalogram signal spectrum decomposition, and establishes an electroencephalogram control space; scans the electroencephalogram control space to identify frequency band coupling imbalance points and reversely deduce collaborative intervention time, and forms a multi-channel adjustment mode; maps a stimulation frequency range to generate a frequency matching domain and establishes a resonance intervention window through resonance analysis; monitors the frequency band in the resonance window to obtain an energy transfer trajectory, constructs a risk propagation chain to identify a cascading failure node and forms a key blocking anchor point; analyzes the risk acceleration of the key blocking anchor point to form a state deterioration rate, fuses the frequency domain features to generate a dynamic delay tolerance, and generates variable speed control parameters through fast and slow grading; compares the variable speed control parameters with a threshold value to generate a control deviation signal, generates a hedging stimulation waveform through anti-phase modulation, and forms a phase compensation execution instruction, and precise monitoring and safe intervention of a cognitive state are realized.

The present application relates to the technical field of resonance analysis, and in particular to a method and device for analyzing effectiveness of a resonance suppression strategy for a series branch of a power system. In the present application, the method realizes effective evaluation of resonance suppression of the series branch by constructing a resonance suppression evaluation index and a corresponding feasible region for resonance suppression of the series branch, and can solve the problems of limited application scenarios of current resonance suppression methods and incompatibility between resonance scenarios of the series branch and resonance suppression methods.