206 results about "Vibration response" patented technology

This invention discloses a method for calculating the vibration response of a delaminated composite laminate, belonging to the field of structural defect calculation and analysis. The method includes: dividing the composite laminate with delamination defects into delaminated and intact regions based on the damage condition; decoupling the delaminated regions dynamically; describing the vibration characteristics of each component in both the delaminated and intact regions using elastic waves based on elastic wave propagation theory, and establishing vibration state vector expressions for each region; determining the compatibility relationship based on the displacement continuity and internal force equilibrium conditions at the coupling point between the delaminated and intact regions, and establishing structural dynamic equilibrium equations in wave space based on the boundary conditions of the composite laminate; solving the structural dynamic equilibrium equations to obtain the amplitudes of elastic waves of each order; and calculating the vibration response of each region of the composite laminate based on elastic wave theory and amplitude calculation. This invention solves the problem of low computational efficiency in existing methods.

This invention relates to an underground pipeline drainage monitoring system and method based on distributed fiber optic acoustic sensing. The system includes sensing optical fibers deployed along the underground water pipeline, distributed fiber optic acoustic sensing equipment, a preprocessing module for preprocessing received signals, a feature extraction module, a status recognition module, an anomaly tracing module, and a display and early warning module. This invention utilizes sensing optical fibers deployed along drainage manholes and pipe sections to acquire acoustic and vibration responses under different operating conditions during pipeline network operation. It automatically identifies and locates abnormal discharge behavior under rainless conditions, enabling long-distance distributed sensing along the drainage network and is suitable for long-term online monitoring of urban drainage networks.

This application provides a method, apparatus, device, and medium for determining the characteristic frequencies of dynamic response data of rail vehicles, relating to the field of rail vehicle technology. The method determines the resonant frequency band in the dynamic response based on the known excitation frequency of the operating line, and separates the dynamic response data according to the energy change rate of the resonant frequency band to obtain vehicle vibration response data, thereby determining the characteristic frequencies of target vehicle components. This overcomes the problems of existing technologies where fixed-band filtering cannot adapt to the differences in excitation characteristics of different lines, easily leads to insufficient interference filtering or over-filtering that mistakenly deletes effective information, and manual frequency selection relies on experience, is inefficient, and has subjective judgment errors, making it difficult to adapt to scenarios with large changes in rail vehicle speed and complex operating conditions. It can accurately eliminate line excitation interference, accurately extract the characteristic frequencies of vehicle components, and improve the accuracy and reliability of characteristic frequency identification.

This invention belongs to the field of wind power equipment condition monitoring and fault diagnosis technology, specifically relating to an intelligent diagnostic device and method for blade icing based on acoustic-vibration feature fusion. It includes: a multimodal sensing unit for acquiring vibration response signals and aeroacoustic signals; a signal conditioning and synchronous acquisition unit connected to the multimodal sensing unit for conditioning and synchronous analog-to-digital conversion of the vibration response signals and aeroacoustic signals to obtain synchronized digital vibration and digital sound signals; and an edge computing and diagnostic unit connected to the signal conditioning and synchronous acquisition unit. This invention synchronously acquires and deeply fuses vibration signals reflecting the blade's structural state with specific frequency band sound signals reflecting the aerodynamic state of the blade surface, constructing an intelligent diagnostic system based on acoustic-vibration coherence analysis and machine learning models. This achieves high-precision, robust online diagnosis and early warning of blade icing conditions.

The application discloses a kind of visual nondestructive flaw detection systems and methods without destroying the integrity of wind power blade, it is related to nondestructive testing field, the system includes: signal excitation module, laser vibration measurement module, scanning execution module, data acquisition module, data processing module, visual display module and system control and communication module.Wherein, scanning execution module is used to drive laser vibration measurement module to move according to scanning track and vibration response signal is collected at each measuring point by synchronously scheduling laser vibration measurement module, and the defect information of blade is identified using data processing module;Using visual display module, the position, type and appearance of defect are presented in three-dimensional visual manner;Using system control and communication module, the automatic flaw detection process of system is realized.The nondestructive flaw detection system of the application has the characteristics of automatic path scanning, synchronous control mechanism and defect three-dimensional visualization, and can realize long-distance, non-contact precision detection.

This invention discloses a method for identifying vehicle modal parameters based on impact loads, comprising the following steps: S100: designing drop conditions according to the vehicle system's modal characteristics; S200: conducting drop tests on the test vehicle under the designed drop conditions; S300: collecting the vehicle's vibration response during the drop test and calculating the modal energy using the vibration response; S400: identifying modal parameters using the state variable method. This invention utilizes impact loads to excite the modal vibration response of the vehicle system and combines the modal energy method and the state variable method to accurately identify the modal parameters. This invention is simpler, lower cost, and more accurate, effectively identifying the modal parameters of a rail vehicle system without the need for complex simulations and high testing costs.

This invention discloses a method for calculating the vibration response of a delaminated composite laminate, belonging to the field of structural defect calculation and analysis. The method includes: dividing the composite laminate with delamination defects into delaminated and intact regions based on the damage condition; decoupling the delaminated regions dynamically; describing the vibration characteristics of each component in both the delaminated and intact regions using elastic waves based on elastic wave propagation theory, and establishing vibration state vector expressions for each region; determining the compatibility relationship based on the displacement continuity and internal force equilibrium conditions at the coupling point between the delaminated and intact regions, and establishing structural dynamic equilibrium equations in wave space based on the boundary conditions of the composite laminate; solving the structural dynamic equilibrium equations to obtain the amplitudes of elastic waves of each order; and calculating the vibration response of each region of the composite laminate based on elastic wave theory and amplitude calculation. This invention solves the problem of low computational efficiency in existing methods.

This application relates to an autonomous flight control method and system for unmanned aerial vehicles (UAVs). The UAV autonomous flight control method includes: applying a small rotational speed disturbance of a preset amplitude to the drive motor during UAV flight, wherein the small rotational speed disturbance is configured to excite vibration in the UAV's airframe structure without changing the UAV's macroscopic flight attitude; collecting vibration response data from the inertial measurement unit (IMU) in response to the vibration; performing real-time spectrum analysis on the vibration response data to identify characteristic frequencies with abnormally increased vibration amplitudes, and determining these characteristic frequencies as the current inherent structural resonance frequencies of the UAV's airframe structure; and dynamically adjusting a vibration suppression strategy based on the current inherent structural resonance frequencies to reduce vibration noise in the IMU data and optimize the position estimation logic of multi-sensor data fusion. This invention effectively improves the stability and operational accuracy of autonomous UAV flight.

The application discloses a kind of balanced cutting adaptive control method, system and numerical control lathe, belong to numerical control machine tool technical field, solve double-spindle double-tool turret numerical control lathe in double-tool turret balanced cutting finishing stage, because of cutting fluid impact, servo response difference and temperature gradient cause cutting force-thermal deformation coupling vibration, lead to surface finish deteriorate, while conventional detection cannot be identified, finally cause precision parts batch scrapping problem.It includes the following steps: initialization and reference calibration step, determine the fixed parameters required for algorithm operation and store in numerical control system parameter table.The application is by collecting double-tool turret servo current and decoupling into high-frequency component and low-frequency component, using high-frequency component to adjust feed rate, using low-frequency component to offset radial position, to cut off the positive feedback coupling chain between cutting force fluctuation, chip shape change, cooling liquid jet deflection, temperature field distribution change and cutting depth fluctuation, suppress non-periodic dynamic vibration response, avoid machining surface finish deterioration.

The application discloses a ship engine room infrared thermal image and vibration combined diagnosis method based on a multi-mode, relates to the technical field of mechanical equipment state monitoring, and synchronously collects infrared thermal image data and vibration data of a contact area between a bearing seat and a mounting base structure in an engine room operation process, forms an infrared thermal imaging frame sequence and a vibration signal data sequence through data processing; constructs a contact area thermal image sequence and a radial vibration attenuation sequence according to the infrared thermal imaging frame sequence and the vibration signal data sequence, and maps to a unified time axis for consistency determination; aggregates time sub-sections with inconsistent evolution rhythms to form a thermal-vibration response deviation trend, judges the thermal-vibration response deviation trend, and outputs thermal-vibration response deviation results of the contact area. The method is suitable for positioning and discriminating abnormal contact between a bearing seat and a mounting base of a ship engine room through time sequence correlation analysis of thermal image information and vibration information for combined identification of the structure contact state.

The application discloses a gate self-vibration frequency considering bottom seal water leakage flow excitation vibration resonance judgment method and device. The method obtains a flow field agent excitation signal of a to-be-measured structure under a preset fluid boundary condition and a vibration response signal synchronously collected; an excitation main frequency and a corresponding excitation initial phase are extracted based on the flow field agent excitation signal; a same-frequency response phase is extracted from the vibration response signal based on the excitation main frequency; an excitation response phase difference between the same-frequency response phase and the excitation initial phase is calculated, and the excitation response phase difference is mapped to a preset main value interval to obtain a normalized phase difference; finally, the normalized phase difference is compared with a preset theoretical resonance phase difference to determine whether resonance occurs. The application avoids the interference of a contact type sensor on a slit flow field and the damping sensitivity defect of traditional amplitude judgment, and realizes high-precision automatic positioning of a resonance critical point under a complex fluid-solid coupling working condition.

The present application relates to the technical field of environmental vibration detection, and discloses a micro-vibration prediction system based on actual measurement, comprising: a measuring point arrangement module for arranging external vibration collection points and internal vibration collection points; a data collection module for synchronously collecting vibration response data; a transfer function calculation module for calculating vibration transmission rules and generating a vibration transfer function; a vibration prediction module for converting monitored vibration response data into predicted vibration values; a verification and correction module for comparing actual measurement values with predicted vibration values and dynamically correcting the vibration transfer function according to the comparison results. The present application can truly reflect the actual attenuation rules of vibration sources propagating to sensitive points through geology and structures, avoid errors caused by parameter uncertainty in pure numerical simulation, and give early warnings before vibration events reach sensitive equipment, thus gaining time for production scheduling or active vibration isolation.

The application relates to the technical field of motion regulation and driving, in particular to a reciprocating motion amplification device and method of a flexible structure of a swing bridge. The reciprocating motion amplification device comprises a loading unit, an excitation execution unit, a self-adaptive identification unit and an energy supply unit. The excitation execution unit and the self-adaptive identification unit are both installed in the loading unit. The self-adaptive identification unit collects vibration response signals of the flexible target structure in real time and identifies the real-time natural frequency, controls the excitation execution unit to adjust the excitation frequency, so that the excitation frequency is automatically matched with the real-time natural frequency, resonance effect is excited, and reciprocating motion amplification is realized. Through closed-loop self-adaptive control, frequency drift is automatically tracked without manual intervention, excitation power consumption is reduced while the significant amplification effect is maintained, and the system adaptability and intelligent level are improved.

This application discloses a method and system for identifying and assessing foreign object impacts on rail vehicles based on multimodal fusion. It constructs a multi-source monitoring data and operating environment parameter dataset by acquiring image information, structural vibration response information, and impact acoustic information of multiple key structural parts of the rail vehicle, combined with operating parameters, ambient temperature, and track snow cover information obtained from the onboard positioning system. Based on this, a multimodal fusion analysis method is used to identify foreign object impact events, determining the time of foreign object occurrence, impact time, and impact characteristic parameters. Furthermore, the impact load is calculated based on the foreign object's size and material parameters, and the foreign object's entrainment capacity and critical size range are analyzed using an aerodynamic adsorption model. Finally, statistical analysis of the impact events is performed, and the risk level of key structural parts is assessed. This application enables accurate identification and quantitative analysis of foreign object impact behavior on rail vehicles during winter ice and snow, improving operational safety.

The application discloses a kind of early damage identification method of flood release gate based on deep learning and intelligent clustering, comprising: 1) the measured vibration response signal is collected, and training data set is constructed;2) MA-GRU-AE model is constructed and trained, and vibration response signal under healthy condition is learned and reconstructed;3) multi-dimensional reconstruction error features are calculated and fused, to obtain comprehensive reconstruction error features;4) improved torque clustering algorithm is used to adaptively cluster comprehensive reconstruction error features, to distinguish the health and damage state of flood release gate, to realize the unsupervised identification of early damage of flood release gate structure.The application is based on the deep GRU auto-encoder of fusion multi-head attention mechanism, by efficient extraction and reconstruction of damage sensitive features in non-stationary vibration signal, combined with multi-channel damage index fusion strategy to construct comprehensive reconstruction error features, and improved torque clustering algorithm is used to realize adaptive, unsupervised damage identification of hydraulic discharge structure in strong noise environment.

The application provides a structure and method for improving wind vibration performance of a large-span bridge, and relates to the technical field of bridge engineering. The structure comprises a stand, a railing, a main active air blowing and sucking structure, an incoming flow monitoring device and a power control device. The incoming flow monitoring device is used for monitoring the wind speed and direction of the incoming flow. The power control device can control the active air sucking of the air sucking port and the active air blowing of the air blowing port of the main active air blowing and sucking structure. The method comprises monitoring the wind speed and direction of the incoming flow or the vibration response of the main beam. When the monitored wind speed of the incoming flow reaches the vortex vibration or flutter wind speed, or the monitored vibration response of the main beam reaches the vortex vibration or shows a flutter trend, the power control device is used to make the air sucking port on the windward side of the railing actively suck air and the air blowing port on the leeward side of the railing actively blow air. The application can adjust whether the main active air blowing and sucking structure blows or sucks air in real time according to the wind speed and direction of the incoming flow or the response of the main beam, and can effectively improve the wind-induced vibration stability of the bridge.

This invention relates to an active intake and blowing control method for wind effects in high-rise buildings based on deep reinforcement learning. This invention relates to the fields of active flow control and wind-induced vibration control in high-rise buildings. Addressing the shortcomings of existing wind-resistant measures for high-rise buildings in complex wind environments and the insufficient feasibility of active flow control engineering, this invention discloses an active intake and blowing control method for wind effects in high-rise buildings based on deep reinforcement learning. The method includes: constructing an active intake and blowing control device for wind effects in high-rise buildings, constructing a wind tunnel test environment, establishing a deep reinforcement learning model, and realizing interactive training between the model and the wind tunnel test environment. This method can adaptively adjust the intake and blowing flow rates according to real-time wind environment information and structural wind-induced vibration response information, changing the flow field structure around the building, reducing unfavorable flow separation and wake vortex shedding, thereby reducing wind load and wind-induced vibration response in high-rise buildings.

The application discloses a signal acquisition positioning system for buried PE pipeline, and relates to the technical field of pipeline detection. The application comprises the following steps: obtaining vibration sound wave signals generated by the excited buried PE pipeline; synchronously collecting vibration response signals of the ground soil through a plurality of acceleration sensors arranged along the pipeline direction; distinguishing normal pipe sections from complex pipe sections through resonance frequency distribution; extracting time delay characteristics among multi-channel signals, combining elliptic geometric constraints to invert the pipeline burial depth; and realizing the visual imaging of the pipeline direction. The application effectively distinguishes complex structures such as T-shaped pipes, elbows, reducers and valves through resonance frequency distribution characteristics, fills the technical blank that traditional methods can only detect straight pipe sections, significantly suppresses local environmental noise, and improves the positioning robustness under complex geological conditions; and through the construction of a pipeline three-dimensional curved surface model through a column coordinate system and a translation coordinate system parameter equation, the intuitive imaging of the pipeline direction, burial depth change and complex structure is realized.

The application discloses a kind of aero-engine main bearing dynamics analysis method and system under motor flight condition, method includes, the dynamics model of rotor-support system under motor flight state is established, additional excitation force size under motor flight state is calculated;According to the load distribution law of shafting under the action of additional excitation force, the support reaction force of each support and the additional inertia load borne by main bearing are extracted, the coupling mechanism of the dynamic characteristics and elastohydrodynamic lubrication characteristics of main bearing is researched, the balance condition of coupling equation is proposed, and the main bearing thermal elastohydrodynamic lubrication coupling model is established;According to the mutual contact / collision action between typical interfaces between elements in bearing, a contact / collision action model considering lubrication is established;Considering the additional inertia load varying with time, based on the established main bearing thermal elastohydrodynamic lubrication coupling model, considering the force between main bearing interfaces, numerical integration is used to solve, realize the accurate analysis of the dynamic characteristics and vibration response mechanism of aero-engine main bearing.

This invention belongs to the field of data analysis technology for structural health monitoring in civil engineering, and particularly relates to a method for identifying time-varying cable forces in bridges based on nonlinear frequency-modal distribution. The method includes: firstly, extracting the free decay vibration response of bridge cables; iteratively decomposing the signal using the Hilbert vibration decomposition method to obtain the time-varying frequency; modeling the time-varying frequency based on an autoregressive moving average model, eliminating the endpoint effect of the time-varying frequency through predictive extension; using this as the initial input, further accurately extracting the instantaneous frequency, instantaneous amplitude, and time-varying damping ratio of each component using an adaptive frequency-modal decomposition algorithm; and outputting a stable time-varying cable force curve after calculating the foundation cable force. This invention has the advantages of good modal aliasing suppression and thorough elimination of endpoint effects, and is suitable for time-varying cable force monitoring scenarios for various cable-stayed bridges, such as cable-stayed bridges and suspension bridges.

Embodiments of the present disclosure provide a hydropower plant collaborative control method and system based on vibration link decoupling. The method comprises: dividing a vibration process into three links of excitation source, structure transmission and plant response; collecting vibration data in real time and setting multi-target threshold values of structure safety, equipment operation, personnel comfort and the like; establishing a mapping relationship between an operation parameter vector composed of unit active power, effective water head, tail water level and unit combination mode and plant vibration response; identifying and dynamically updating a region causing vibration exceeding the standard in the operation parameter space to form a dynamic vibration avoidance zone; collaboratively executing operation mode adjustment and / or structure response adjustment when the unit enters the vibration avoidance zone; and dynamically closing loop and correcting the control strategy according to the feedback monitoring result. Embodiments of the present disclosure realize decoupling collaborative control of the vibration link, can adapt to working condition changes and effectively reduce the plant vibration level.

This invention provides a method and system for monitoring the health status of wind turbine generators based on sensor networks, belonging to the field of sensor network technology. By acquiring the mechanical structure and energy transfer path of the generator set, a hierarchical index is constructed for the blade layer, transmission chain layer, power generation layer, and support layer. Vibration and temperature data of each layer are collected, and steady-state and dynamic disturbance conditions are identified based on wind speed and rotational speed change rates. Vibration response intensity, temperature change, and vibration-temperature coupling characteristics are extracted, and a condition correction factor is constructed. A feature matrix is ​​constructed using a sliding time window, and a benchmark matrix is ​​calculated based on steady-state data. Local health deviation is obtained through norm differences, and weighted fusion is performed to obtain a comprehensive health index for the entire generator. The comprehensive index is dynamically corrected according to real-time operating conditions, and an early warning is issued after comparison with a threshold. This solves the problems of health assessment being easily affected by disturbances and insufficient utilization of multi-physics coupling under varying operating conditions, achieving adaptive and highly robust wind turbine generator health status monitoring.

This invention provides a method and system for analyzing the vibration response of an SFD rotor system during acceleration and deceleration. The method includes constructing an SFD rotor system; the SFD rotor system includes an SFD dynamic model, in which stiffness varies with rotational speed; calculating the vibration response of the SFD rotor system sequentially according to the rotational speed changes during acceleration and deceleration; and calculating the vibration response in a nonlinear manner during nonlinear changes. The nonlinear vibration response calculation includes: determining an initial displacement response value; wherein the initial displacement response value is determined based on the displacement responses corresponding to preset rotational speeds before the current speed; obtaining the stiffness and damping values ​​at the current rotational speed based on the SFD dynamic model and the initial displacement response value; and calculating the displacement response value based on the stiffness and damping values ​​at the current rotational speed, thereby obtaining the vibration response analysis results under nonlinear conditions.

This invention discloses a method for detecting and analyzing vibration and noise in miniature bearings, relating to the field of noise detection technology. The invention constructs a detection position consistent with the target assembly scenario and collects vibration and acoustic response data under conditions such as gradually changing speed, pulsating speed, axial preload, directional off-center loading, and start-stop transition. It further calculates disturbance-sensitive trajectory data, energy redistribution trajectory data, and repetitive visible trajectory data, thereby enabling the differentiation and analysis of raceway anomalies, cage anomalies, lubrication anomalies, and assembly eccentricity anomalies. Compared to existing technologies, this invention can more realistically reflect the abnormal noise performance of miniature bearings after installation, improve the early identification capability of weak anomalies and the accuracy of anomaly source analysis, and can output conclusions regarding the risk of abnormal noise during installation.

The present application belongs to the technical field of signal real-time analysis, and provides a multi-dimensional compaction state quantification and spatial coordination compaction method and system, which is based on the vibration response information of the road roller in the dam filling construction process, and through the construction of a multi-dimensional compaction state quantification evaluation model, the compaction state of the dam filling soil layer is identified in real time; based on the difference between the vibration response and the prediction result of the dynamics model, the dynamics parameters representing the steel wheel-soil coupling characteristics are inversely calibrated and updated online, so as to improve the adaptability of the model to different filling areas and construction stages; the coordination mechanism of the adjacent compaction area is introduced, the construction information of the compacted area is fully utilized when the construction parameters of the current compaction area are determined, the compaction parameters are optimized in the spatial and time dimensions, and thus the closed-loop intelligent control of the dam filling compaction construction is formed.

This application relates to a method, apparatus, system, electronic device, storage medium, and program product for generating a drive signal. The method includes: driving a linear vibration motor to vibrate based on a first drive signal generated by a compensation filter, and acquiring the actual vibration response signal generated by the linear vibration motor during vibration; determining the vibration error of the linear vibration motor based on the actual vibration response signal and a target vibration response signal; adjusting the parameters of the compensation filter using an adaptive algorithm based on the vibration error and a transmission channel estimation model of the drive signal; and generating a second drive signal using the parameter-adjusted compensation filter to drive the linear vibration motor based on the second drive signal. This method can improve the reliability of motor vibration.

This invention provides an indirect method for measuring the obstruction force source characteristics of mechanical equipment. The method includes the following steps: S1, obtaining the obstruction force function expression based on vibration transmission path analysis; S2, arranging measuring points on the mechanical equipment assembly system; S3, conducting a mechanical equipment operation test and collecting the responses of the indicated degree of freedom and the verification degree of freedom; S4, conducting a frequency response function test of the assembly system and obtaining typical frequency response function vectors of the verification degree of freedom measuring points and the contact degree of freedom measuring points; S5, calculating the obstruction force vector according to the obstruction force function expression; S6, comparing the predicted vibration response and the actual vibration response at the verification degree of freedom measuring points to verify the accuracy of the obstruction force calculation results. This invention provides an indirect method for measuring the obstruction force source characteristics of mechanical equipment, enabling the measurement of equipment obstruction forces under different installation conditions without disassembling the mechanical equipment.