433 results about "Structural vibration" patented technology

The invention provides a vibration signal space-time reconstruction method based on a multi-modal condition diffusion model, and relates to the technical field of vibration signal reconstruction, and the method comprises the steps: firstly collecting structure vibration response through multiple sensors, constructing a multi-dimensional vibration signal matrix, and automatically recognizing a space continuous missing region and a time random missing region; performing coarse reconstruction on the missing region by adopting self-adaptive multi-scale interpolation so as to recover the basic trend and frequency band characteristics of the signal; a pseudo-missing mask is further applied to complete data, a training sample is constructed through a self-supervision strategy, and the model is guided to learn spatio-temporal correlation features and missing modes; in a training stage, a diffusion model is used as a generation framework, Gaussian noise disturbance is applied to a missing region, four types of condition embedding of time, space, trend and frequency domain are introduced in a denoising inversion process, signal periodicity, multi-sensor space coupling, low-frequency change and a physical frequency spectrum structure are respectively described, and the noise is reduced; and high-fidelity signal reconstruction under multi-modal information joint constraint is realized.

The invention discloses a truss structure wind-induced dynamic response prediction method and system based on physical enhancement. The method comprises the following steps: carrying out feature extraction and alignment fusion on input data containing condition parameters and wind speed time sequence data by utilizing a long short-term memory network and a physical enhancement attention mechanism; extracting multi-scale features from the fusion features through expansion convolution, and performing weighted aggregation on the multi-scale features; the physical priori knowledge of structural vibration is fused into position coding and a self-attention mechanism so as to carry out response prediction; and integrating physical model information of the truss structure and a dynamic control equation into a loss function, and calculating physical information residual loss so as to improve the physical interpretability of a prediction result. According to the method, data heterogeneity can be eliminated, complementary information can be fused, the multi-scale characteristic of wind-induced response is coped with, the accuracy and efficiency of wind-induced dynamic response prediction of the truss structure are effectively improved, and the physical interpretability and generalization ability are enhanced.

The invention relates to the technical field of wind power tower monitoring, and discloses a wind power tower health monitoring method and system. The method comprises the following steps: acquiring structural vibration signals and environmental load data of a wind power tower drum, extracting dynamic response characteristics of the tower drum, and establishing a basic monitoring data set of the running state of the tower drum in combination with the environmental load data; performing multi-dimensional decomposition processing on the basic monitoring data set, separating an inherent frequency component, a damping characteristic parameter and an external excitation coupling component of the tower drum, and constructing a first evaluation index of tower drum structure health according to the relevance between the inherent frequency component and the damping characteristic parameter; historical damage records and material degradation data of the tower drum are obtained, the historical damage records and the external excitation coupling component are subjected to time sequence alignment analysis, and a second evaluation index of tower drum damage evolution is generated; and fusing the first evaluation index and the second evaluation index, establishing a comprehensive scoring model of the health state of the tower drum, dividing the health level of the tower drum, and outputting a real-time monitoring report.

The invention provides a bridge structure vibration long-term monitoring algorithm and system based on computer vision, and relates to the technical field of beam monitoring. In the prior art, there is no vision-based bridge monitoring algorithm with high precision, strong robustness and shielding self-recovery capability. According to the method, matching point confidence is calculated, and matching points with low confidence scores are removed; calculating the displacement of the bridge at the plurality of feature points, and generating vibration time sequence data; the inherent frequency and the corresponding modal shape are extracted and compared with the reference frequency range and the reference modal shape, the monitoring result is obtained, shielding self-recovery is carried out according to the environmental interference influence, the precision and reliability of bridge monitoring are improved, and the robustness of bridge monitoring activities in a complex scene is improved.

The invention discloses a pure electric vehicle heat pump type whole vehicle thermal management system and method, and relates to the technical field of new energy vehicle thermal management, and the method comprises the following steps: constructing a combined twin system of thermal fluid, structural vibration and acoustic fluctuation, collecting pressure waves and vibration phases by using an array sensor, forming a steady state baseline spectrum and a transient state baseline spectrum, and calculating the temperature of the steady state baseline spectrum and the transient state baseline spectrum; and a unified reference is established. According to the method, a combined twinborn system of thermal fluid, structural vibration and acoustic fluctuation is constructed, the dynamic characteristics of pulsating waves are accurately monitored, and instability early warning is carried out by using a phase locking tracking method. Through pipeline topology reconstruction and segmented damping link design, a self-adaptive pulsation buffer zone is introduced, and pulsation energy is effectively absorbed. And in combination with a multi-target control law and a time reflection mirror cooperative regulation strategy, refrigerant flow is accurately controlled, pulsation energy is actively counteracted, and stable operation of the system is guaranteed. Through the innovative design, the stability of a heat management loop is improved, the fault risk caused by pulsation is reduced, and the cooling efficiency and safety are improved.

The invention belongs to the technical field of control detection, and particularly relates to a laser cutting machine cutting control method and system.The laser cutting machine cutting control method comprises the following steps that S1, frequency sweeping excitation is applied to a plurality of preset grid node positions of a laser cutting machine workbench, and vibration response data of a cutting head is collected; a dominant pole and a zero point of a vibration transfer function of each grid node are identified and extracted, spatial distribution is fitted by using a non-uniform rational B-spline surface, and a spatial model of continuous mapping between a cutting head position and a vibration transfer function parameter is established; s2, decomposing a to-be-processed path into a plurality of path infinitesimal segments, and calculating a preliminary feed-forward compensation instruction of each path infinitesimal segment based on a space model and a zero-phase error tracking control algorithm; according to the invention, the contour error caused by structural vibration and non-linear factors is reduced, the processing precision and the cutting surface quality of the laser cutting machine in a full working range are improved, and the forming effect of a complex contour at a high speed is improved.

The invention discloses a vibration control method for an offshore wind turbine structure, which comprises the following steps of: a, implementing real-time multi-source data acquisition which is realized by deploying a series of sensors on the offshore wind turbine structure and in the surrounding environment so as to obtain environmental load parameters, structural response parameters and running state parameters of the offshore wind turbine; and b, inputting the acquired data into a composite environment and structure state decoupling and feature extraction module, preprocessing the acquired data by the module, and identifying an environment load spectrum in real time. According to the vibration control method for the offshore wind turbine structure, through multi-source information fusion, online system identification and self-adaptive multi-target control, broadband, multi-mode and self-adaptive suppression of vibration of the offshore wind turbine structure is achieved, and the limitation of a traditional fixed parameter damper in a complex dynamic marine environment is overcome; complex excitation sources such as wind, waves and ocean currents and the coupling effect of the excitation sources are effectively handled.

The invention discloses a structural vibration reduction topological optimization design method based on anti-resonant frequency constraint. The method comprises the following steps: constructing a finite element model corresponding to structure parameters; obtaining an initial structure and an optimization column formula according to the finite element model; obtaining an objective function value through finite element analysis; obtaining an anti-resonance frequency correlation characteristic value through generalized asymmetric characteristic value analysis; and the design variables are updated in combination with optimization column constraints, and a topological optimization design configuration is obtained after convergence judgment. According to the method, explicit calculation and precise control of the dynamic compliance anti-resonant frequency are achieved, optimization and advanced convergence are avoided through anti-resonant frequency constraint, a clear vibration reduction topological configuration can be obtained under high-frequency excitation without additional mass, the vibration reduction performance and the static force bearing capacity of the structure are both considered, and the method is suitable for large-scale popularization and application. And the design requirements for light weight and high vibration attenuation of the structure in the fields of aerospace and the like are met.

The invention relates to the technical field of data processing, and discloses a wind turbine generator optimization design method based on tidal current-wave-sediment coupling simulation. The method comprises the following steps: carrying out adaptive time step adjustment on marine environment data through a physical process intensity discrimination algorithm to obtain tidal current field, wave field and sediment transportation data; carrying out fluid-solid coupling calculation on the structural parameters of the wind turbine generator to obtain structural vibration response and ocean load distribution data, and predicting pile foundation scouring depth distribution; carrying out time-varying coefficient correction on the pile foundation bearing capacity parameters to obtain dynamic bearing capacity evaluation data; inputting a multi-objective optimization algorithm to obtain a Pareto optimal solution set; and obtaining a wind turbine generator optimization design scheme through engineering feasibility verification and screening. The technical problems that in existing offshore wind turbine generator design, tidal current-wave-sediment coupling simulation space-time scales are not matched, the pile foundation scouring prediction precision is insufficient, bearing capacity evaluation lacks time-varying characteristic consideration, and the multi-target optimization design capacity is insufficient are solved.

The invention discloses a tuned mass vibration damper with controllable damping, and relates to the field of vibration control of offshore wind power generation equipment structures. The mass damping unit is arranged in a suspended mode, the clamping ring is coaxially arranged, the electromagnetic damping units are evenly distributed in the circumferential direction of the clamping ring, and the electromagnetic damping units are connected with the mass damping unit through winding ropes which are arranged in a radial mode to form a multidirectional synergistic composite damping system; the mass damping unit generates reverse inertia force in vibration to restrain movement of the tower and drives the electromagnetic damping unit to act at the same time, the generator is driven to generate electromagnetic damping through the one-way bearing and the speed increaser, and lossless reset is achieved through the torsion ring. The device is integrated with an energy recovery unit, vibration energy is converted into electric energy to be stored, real-time regulation and control of damping force, omni-directional vibration response and energy feedback are achieved, and the vibration reduction efficiency and the energy utilization rate are remarkably improved.

The invention relates to the technical field of data processing, discloses a deep tunnel blasting control instruction generation method and system based on cross-scale data, and aims to solve the problems of uncontrollable rock mass damage, high support failure risk and parameter optimization lag in the existing method. According to the scheme, the method mainly comprises the steps that rock mass fracture density, blasting vibration velocity, supporting structure strain and blasting thermal disturbance temperature rise are monitored in real time, and a rock mass fracture vibration frequency band, a supporting structure resonance frequency band and power spectrum density of signals corresponding to the supporting structure strain are determined; calculating a rock mass damage index, rock mass fracture vibration energy, support structure vibration energy, a stripping index and support time-varying stiffness; determining a blasting parameter set based on a genetic algorithm, and predicting a predicted rock mass damage index at a future moment; the blasting parameters in the blasting parameter set are corrected, corresponding engineering measures are determined, and a blasting control instruction is generated. According to the invention, the accuracy of the control instruction, the safety of tunnel construction and the timeliness of control response are improved.

An inerter synergistic particle damper pipeline supporting system capable of achieving multi-stage vibration reduction comprises a pipeline, a pipeline support, a universal joint assembly, an outer cavity assembly, a liquid inerter synergistic unit, a particle damper assembly, a rotary particle energy consumption unit, a transmission linkage mechanism and a plurality of tuning springs. According to the system, multi-dimensional vibration of a pipeline is transmitted to a transmission linkage mechanism through a pipeline support and a universal joint assembly, and multi-stage dissipation and absorption of vibration energy are achieved by combining the synergistic effect of a liquid inerter synergistic unit, a particle damper assembly and a rotary particle energy dissipation unit; the system starts different control modes under the action of small-amplitude vibration, large vibration and extreme vibration, efficient vibration control and energy consumption effects are achieved through a three-level response mode, and automatic reset is achieved after external excitation is finished. By means of the synergistic effect of inerter synergy and particle collision energy consumption, efficient control over vibration of the pipe type structure is achieved, the stability of the pipe type structure is improved, and the service life of the pipe type structure is prolonged.

The invention provides an engineering construction monitoring method and system based on multi-source data fusion, and relates to the technical field of engineering construction monitoring. Structural vibration, wind power and multi-dimensional environment data are fused, a wind load modulation function and an environment correction model are constructed, the influence of a wind load nonlinear amplification effect and environment disturbance on vibration signals is effectively eliminated, and the accuracy of the vibration signals is improved. The accuracy and sensitivity of damage feature extraction are improved; meanwhile, in combination with a signal decomposition technology and multi-layer Bayesian reasoning, probabilistic evaluation and real-time risk early warning of the structural damage state are realized, the response capability and the discrimination capability of the monitoring system to structural state changes under complex working conditions are enhanced, and the precision and the reliability of health monitoring of the engineering building structure are improved.

The invention provides an offshore wind power pile foundation scouring real-time monitoring system which comprises an underwater camera, a rotatable scanning sonar, a single-point flow velocity meter, an acceleration sensor, a fiber grating sensor and a data processing transmission unit which are cooperatively used. Synchronous monitoring of the seabed terrain around the pile, the scour depth and range, the ocean current flow velocity and flow direction and the pile foundation vibration response acceleration signal and strain signal is achieved; the data processing and transmitting unit completes collection and fusion analysis of multi-source data and transmits a monitoring result to a land monitoring station in real time. According to the system, collaborative real-time monitoring of multi-element parameters of ocean current-scoured terrain-structural response is achieved, the dynamic evolution law of the seabed terrain is accurately mastered, a dual verification mechanism of directly detecting the scour depth by scanning sonar and inversing the scour depth by structural vibration response is adopted, the scour depth monitoring precision can be greatly improved, and the real-time performance of the system is improved. And reliable data support is provided for long-term safe operation, structural health assessment and scouring protection design of the offshore wind turbine.

The utility model relates to a vibration reduction technology in the field of vibration control of building structures, in particular to an open type modularized tuned mass damping system. The device comprises an embedded part, a frame, a mass block, a supporting beam, an adjusting spring, a damper, a lug plate, a friction plate, a pin shaft and a nut, the frame provided with the mass block serves as a mass module, the supporting beam and the adjusting spring jointly form a rigidity module, and a friction pair composed of the friction plate and the lug plate and the damper jointly form a damping module. When the floor slab generates vertical vibration due to external excitation, the nearby structural beams vibrate synchronously. The supporting beam provided with the mass module is connected to the structural beam through the friction damping pin shaft assembly. The structural beam vibrates to drive the mass module, and the supporting beam and the adjusting spring have the same vibration frequency and opposite directions. The damper between the mass module and the floor is enlarged in deformation due to reverse vibration, energy consumption is enhanced, and therefore vibration of the floor is relieved.

The utility model discloses a noise reduction structure, a vibration assembly and a vehicle, and the noise reduction structure is used for being attached to the surface of a housing of a component with vibration excitation and comprises multiple layers of metal sheets; the number of the damping layers is multiple, and the multiple damping layers and the multiple metal sheets are arranged in a stacked mode. According to the noise reduction structure, the plurality of metal sheets and the plurality of damping layers are arranged and attached to the surface of the component with vibration excitation, so that the metal sheets and the damping layers are combined, the noise reduction structure has sound absorption, sound insulation and vibration reduction performance, and the effect of reducing radiation noise of the shell can be achieved; and the original part structure and material with a vibration source do not need to be changed.

The invention relates to the technical field of bridge structures and vision measurement, and discloses a structure vibration displacement recognition method, device and equipment and a storage medium, and the method comprises the steps: obtaining a vibration video of a to-be-recognized region, and carrying out the preprocessing of the vibration video, and obtaining an image sequence and a displacement proportion; deblurring the image sequence by adopting a space-time coupling method to obtain a clear image sequence and an optimized optical flow matrix; performing intermediate frame interpolation based on the clear image sequence and the optimized optical flow matrix to obtain a target image sequence; and performing structure vibration displacement identification based on the target image sequence and the displacement proportion to obtain vibration displacement. According to the method, deblurring is carried out through a space-time coupling method, motion blurring is effectively eliminated, noise is suppressed, a clear image sequence is used for frame insertion, the frame density of the image sequence is increased, the problem of large inter-frame displacement caused by insufficient video frame rate is relieved, vibration recognition is carried out on the target image sequence in combination with the displacement proportion, and physical displacement of structural vibration is obtained. And the displacement identification precision under complex conditions is improved.

The invention belongs to the technical field of automatic control, and particularly relates to a large-span ellipsoidal glass structure space noise reduction method based on sound field optimization, and the method comprises the steps: 1, transmitting a sample noise in an ellipsoidal glass structure through a sound wave generator, building a sound wave propagation model to describe the behavior of the sample noise in the ellipsoidal structure, an incident sound field is obtained; 2, analyzing the propagation characteristics of the sample noise in the ellipsoidal glass structure to obtain an acoustic structure coupling equation, and solving the acoustic structure coupling equation to obtain structural vibration displacement; 3, obtaining a sound radiation field of the ellipsoidal glass structure according to the structural vibration displacement; and step 4, combining the incident sound field and the sound radiation field, and performing spatial noise reduction by reflecting the sound pressure of the sound field. According to the method, the problems of poor adaptability and low control precision of a traditional noise reduction method in a non-uniform structure are effectively solved, and the noise reduction efficiency, the control sensitivity and the environment adaptability of a building space are remarkably improved.

The invention relates to a structure vibration grading early warning method and device and a storage medium, and the method comprises the following steps: obtaining and preprocessing a structure vibration time sequence signal, firstly preprocessing the structure vibration time sequence signal, and dividing a data set; constructing a CNN-LSTM time sequence prediction model to carry out training optimization and short-term prediction; through historical data feature extraction and manifold dimensionality reduction, a vibration state mapping area is determined based on Gaussian mixture model clustering, and a posterior probability is calculated; a classification boundary is determined through maximum likelihood function iteration, and a multi-level early warning threshold value is established; and finally, three-level intelligent early warning of safety, warning and danger is realized by combining the dimension reduction point probability and the threshold value of the prediction data. Compared with the prior art, the intelligent multi-level early warning system is used for realizing high-dimensional time sequence prediction and dimension-reduction multi-level classification early warning in a high-efficiency and high-precision manner, and aims to establish the intelligent multi-level early warning system which can perform structure safety assessment more accurately and more timely.

The invention belongs to the technical field of power transmission tower structure damping, and discloses an inerter particle type power transmission tower damping device with a multidirectional control effect. The inerter is introduced into the particle damper, so that the total mass of the damping device is reduced, and the light weight of the device is achieved. And in consideration of the fact that the seismic response of the power transmission tower is multidirectional motion, the arrangement mode of the particles and the inerter is optimally designed, so that the damping effect of the device is further improved. The inerter can generate inertia force opposite to the structural vibration direction, and the dynamic damping effect of the particle damper is guaranteed while the number of particles is reduced. The inerter composed of the gear and the rack is small in dead weight, compact in structure and easy to install, a power transmission mechanism has low energy loss, the gear and the rack are in rigid meshing transmission, rapid rotation of the flywheel can be achieved, the inerter has high sensitivity to sensing of earthquake response of a power transmission tower, and the inerter is suitable for popularization and application. And large rotation inertia force can be generated in a limited space.

The invention discloses a stay cable force identification method, system and device and a medium, and relates to the field of structural vibration measurement, and the method comprises the steps: collecting a vibration image sequence and a key point coordinate set of a target stay cable; determining a vibration frequency set based on the vibration image sequence, acquisition parameters of preset acquisition equipment and a preset spatial distance; determining a geometric parameter set based on the key point coordinate set and the length of the target stay cable; splicing the vibration frequency set and the geometric parameter set to obtain a combined vector; inputting a preset cable force into a preset digital twinborn model to obtain a theoretical combination vector, and calculating a double-domain residual error between the theoretical combination vector and the combination vector; and iterating the preset cable force and repeating the step until a minimum double-domain residual error is obtained, and taking the preset cable force corresponding to the minimum double-domain residual error as the cable force of the target stay cable. The method aims at solving the problems that an existing stay cable force identification method is poor in reliability and low in implementation convenience.

The invention provides a seismic isolation structure AMD control system based on the seismic energy storage principle, and relates to the technical field of structural engineering and damping control. The bottom of the building dissipates energy through the shock insulation support and the hydraulic inerter damper, earthquake input is converted into gravitational potential energy, mechanical energy and electric energy, and the energy storage module supplies energy to the active tuned mass damper arranged on the top of the upper structure. The system monitors structural response in real time through the acceleration sensor and the force sensor, the AMD intelligent control unit calculates and outputs control force capable of reducing upper vibration and generating reverse overturning bending moment, and therefore structural vibration is restrained and the shock insulation support is prevented from being pulled under the strong shock working condition, and the overall anti-seismic performance of the shock insulation structure is remarkably improved.

The invention relates to the technical field of intelligent household electrical appliance control and biological characteristic recognition, and discloses an electric cooker voice safety control system and method based on voiceprint verification, the system comprises a multi-mode sensing array, a storage unit and a core processing unit, the method comprises the following steps: generating and storing equipment physical fingerprints representing unique physical characteristics of equipment, the method comprises the following steps: generating and storing a multi-dimensional feature template comprising an acoustic voiceprint, living body interaction and a spatial vector template for an authorized user, when a voice instruction is received, synchronously acquiring a to-be-detected acoustic and structural vibration signal by a system, executing layered collaborative authentication, and sequentially performing spatial domain verification, physical interaction verification and user identity verification, the physical interaction verification identifies the living body attribute of the sound source by comparing the real-time sound vibration coupling characteristic with the equipment physical fingerprint, so that the non-living body attack is effectively identified and intercepted, and the safety and reliability of voice control are improved.

The invention provides a low-frequency tuned mass damper which comprises a mass damping unit, a frequency modulation supporting unit and a fixed force transmission unit, an included angle is formed between the mass damping unit and the vibration direction of a main structure, the frequency modulation supporting unit is arranged at the bottom of the mass damping unit, and the fixed force transmission unit is connected with the main structure. The vibration frequency of the mass damping unit is adjusted by changing the recovery acceleration; the mass damping unit comprises a mass transmission part, a rotating part, an eddy current damping part and a swing part which are sequentially connected from the included angle of the mass damping unit to the bevel edge direction, and the swing part is rotationally connected to the fixed force transmission unit. The mass transmission part comprises a mass block and a rotation transmission part providing rotation acting force for the mass block, and the mass block makes contact with the rotation transmission part and is fixedly connected with the rotating piece. The invention has the advantages of solving the problem of low-frequency vibration, reducing the structural size, reducing the installation difficulty and the like.

The invention relates to the technical field of sound absorption, in particular to a bionic low-frequency sound absorption structure, a sound absorption device and a low-frequency noise control method.The bionic low-frequency sound absorption structure comprises a plurality of bionic resonance units, the bionic resonance units are hollow tubular bodies extending in the axial direction, and through holes are evenly formed in the tube walls in the axial direction and the circumferential direction; the plurality of bionic resonance units are arranged in parallel and tightly attached; structural parameters of the bionic resonance unit are bionic to measured data of a noctuid wing seta prototype structure, and are determined according to proportional amplification based on a structural vibration similarity principle. Decoupling of the structure scale and the sound wave wavelength is achieved through a bionic amplification strategy, and low-frequency sound waves can be effectively absorbed under the condition of small thickness; the dependence on a porous material is eliminated, and the problems that a fiber material is easy to age and poor in weather resistance are solved; the defects that a traditional resonance structure is narrow in frequency band and poor in adaptability are overcome, excellent broadband sound absorption characteristics and structural robustness are achieved, and effective control over low-frequency noise can be achieved.

The invention relates to the field of wind power, and provides a foundation device for a floating type fan, a wind turbine generator and a control method. The foundation device for the floating type draught fan comprises a base. The tower is mounted on the base and used for mounting a fan assembly; and the propeller is installed on the base and electrically connected with the wind measuring mechanism of the fan assembly, and the propeller is suitable for adjusting the pose of the base based on wind measuring data of the wind measuring mechanism. According to the foundation device for the floating type fan, the pose of the base can be adjusted in real time according to wind measurement data, and it is ensured that the fan assembly is always located at the optimal windward angle; wind energy can be captured to the maximum extent, and the power generation efficiency and the overall operation performance of the fan are improved; stable operation can be kept under different ocean conditions, and the adaptability to complex environments is remarkably enhanced; the wind energy capturing efficiency is optimized, structural vibration and fatigue loads caused by natural factors such as stormy waves can be reduced, the service life of the draught fan and the supporting structure of the draught fan is prolonged, and the stability and safety of the whole system are improved.

The present application relates to a kind of laminated U-shaped shape memory alloy damper, belong to structural vibration control technical field.Laminated U-shaped shape memory alloy plate a and laminated U-shaped shape memory alloy plate b are connected together including connecting piece a, connecting piece b;Connecting piece a both ends are provided with counterbore a, connecting piece b both ends are provided with counterbore b, counterbore a and counterbore b are all provided with counterbore bolt;Laminated U-shaped shape memory alloy plate a and laminated U-shaped shape memory alloy plate b are all combined by multiple U-shaped shape memory alloy sheet and multiple U-shaped rubber pad layer;Connecting piece a and connecting piece b end recess have square groove, the end of laminated U-shaped shape memory alloy plate a and laminated U-shaped shape memory alloy plate b is equipped with opening, the end of laminated U-shaped shape memory alloy plate a and laminated U-shaped shape memory alloy plate b is inserted into the square groove, and be connected together by multiple counterbore bolt.The present application effectively solves the problem of energy consumption and deformation.

The invention discloses a cable force inversion method based on vision measurement and Hilbert-Huang transformation, and relates to the technical field of structural vibration measurement. The method comprises the steps of system deployment, video acquisition and preprocessing, sub-pixel displacement extraction, EEMD signal decomposition, Hilbert time-frequency spectrum construction, improved string vibration formula inversion cable force and health degree evaluation. The method supports abnormal grading processing and long-term structure health monitoring, has engineering practicability, and is suitable for cable force dynamic monitoring and safety evaluation of structures such as bridges and cableways.

The application discloses a gas extraction water ring vacuum pump fouling degree online detection system and method, relates to the technical field of vacuum pump fouling degree detection, and comprises a sound signal acquisition module, an excitation control module, a parameter sensing module, a signal processing module, a feature compensation module, a fouling inversion module and a model calibration module; the sound signal acquisition module is arranged on the outer wall of the pump body and is used for acquiring structural vibration signals generated in the operation process and outputting original vibration data; the excitation control module is connected with a piezoelectric excitation device and receives the operation state feedback of the sound signal acquisition module, is used for triggering the piezoelectric excitation device to apply high-frequency pulse signals to the pump shell when the suction negative pressure fluctuation is stable and continuously meets the steady-state condition, and synchronously starts the sound signal acquisition module to collect response signals; and the parameter sensing module is used for monitoring the cooling water inlet / outlet temperature and motor current waveform and outputting environmental and operation parameters.

The invention discloses a method for detecting abnormal sound of a horizontal driver of an automobile seat in a noise interference environment, which relates to the technical field of fault diagnosis and comprises the following steps of: calculating a structural vibration residual index and a sound residual index of a candidate abnormal fragment set, executing abnormal judgment processing, outputting an initial abnormal sound event set, and outputting a final abnormal sound event set; abnormal sound discrimination features of the initial abnormal sound event set are extracted and subjected to priority ranking, and a verification motion track combination is constructed; and calculating a reproduction evaluation index for verifying the motion trail combination, executing abnormal sound confirmation judgment on the initial abnormal sound event set according to the reproduction evaluation index, and outputting an abnormal sound state evaluation record. According to the method, by constructing the anti-fact virtual sequence pair and verifying the motion trail combination, essential stripping of complex background noise and normal motion acoustic features is achieved, the reliability and credibility of an evaluation result are improved, and the fault diagnosis and repair efficiency is improved.