2931 results about "Vibrational energy" patented technology

The invention provides a stratum disturbance analysis method and system under a shield construction coupling effect. Cutting vibration spectrum data are collected in real time through a cutter vibration sensor, and a feature fingerprint database containing a vibration energy distribution mode and a critical grouting interval is constructed in combination with soil parameters. And aligning the vibration spectrum with the soil bin pressure in a space-time manner, and generating a disturbance field distribution diagram for displaying an energy gradient distribution curve and a stress diffusion path topology. And matching the energy distribution curve and correcting formation interface propagation parameters through the feature matching network optimized by transfer learning, and outputting a formation type identification result and disturbance dynamic parameters. And based on the mapping relation between the parameters and the critical grouting interval, the ground surface displacement data are linked to dynamically regulate and control the grouting pressure, graded early warning and parameter regulation instructions are generated, and a stratum disturbance monitoring-regulation and control closed loop is formed. According to the technical scheme, dynamic optimization of the grouting pressure is achieved, and the stratum deformation risk caused by shield construction is remarkably reduced.

The present application relates to a switch cabinet discharge fault detection method, system, equipment and medium, belonging to the technical field of power equipment fault detection, the fault detection method includes: receiving real-time monitoring data of the switch cabinet to be monitored and aligning the timestamp; performing dynamic amplitude compensation on the electric field signal data based on the aligned current humidity data, generating the corrected electric field signal data and performing time-frequency domain analysis, extracting the discharge pulse density and high-frequency energy proportion; performing frequency filtering and waveform analysis on the vibration signal, calculating the impact intensity factor and the vibration energy entropy value; making abnormal judgments on the discharge pulse density and the impact intensity factor, and marking the abnormal discharge according to the abnormal judgment results; based on the synchronous change correlation of the high-frequency energy proportion and the impact intensity factor and the vibration energy entropy value, verifying the abnormal discharge marking result, and obtaining the discharge fault result. The present application can realize efficient detection and accurate diagnosis of switch cabinet discharge faults.

The invention relates to the technical field of industrial automatic detection, in particular to an intelligent electromagnetic valve fault detection method and system based on multi-parameter analysis, and the method comprises the following steps: S1, synchronously collecting the dynamic current waveform, vibration spectrum information and environment temperature data; s2, extracting a current characteristic value and vibration energy distribution, and calculating a temperature drift amount; s3, the current characteristic value, the vibration energy distribution and the temperature drift amount are input into a multi-parameter incidence matrix, and a coupling deviation coefficient representing the coupling relation between parameters is generated; s4, calculating a comprehensive health index of the electromagnetic valve based on the coupling deviation coefficient; and S5, matching the comprehensive health index with a preset fault feature library, and outputting a corresponding fault type and a positioning result. According to the method, by fusing the multi-source characteristic parameters and introducing the health index evaluation mechanism, accurate recognition and positioning of the electromagnetic valve faults are achieved, and the detection accuracy and the response efficiency are improved.

The invention provides a railway line monitoring alarm method and system, and relates to the technical field of computers, and the method comprises the steps: continuously collecting a dynamic monitoring data set comprising a track structure vibration waveform sequence, a track surface optical image sequence and an environment meteorological parameter sequence through a plurality of sensor nodes of a target railway line; carrying out multi-modal feature fusion processing on the dynamic monitoring data set, generating a comprehensive state evaluation matrix containing a vibration energy distribution vector and the like, carrying out risk alarm grade classification on the comprehensive state evaluation matrix by utilizing a preset track safety evaluation model, and outputting an abnormal event type code and an abnormal region position code; then, a multi-stage linkage control instruction set containing a train emergency braking triggering instruction and the like is generated based on the multi-stage linkage control instruction set, the multi-stage linkage control instruction set is synchronously transmitted to a central dispatching system, the central dispatching system is driven to execute rail blocking, train speed regulation and control and equipment maintenance operation according to instruction priorities, and comprehensive and intelligent monitoring and efficient alarm response to railway lines are achieved.

The invention provides a high-precision five-axis rotary table cooperative control method and system based on multi-closed-loop feedback, and the method comprises the steps: obtaining a real-time acceleration signal of a five-axis rotary table, carrying out the spectrum analysis of the acceleration signal, determining a current resonant frequency drift range and a main frequency component, and carrying out the frequency spectrum analysis; dynamically simulating the turntable structure by adopting a pre-established finite element model, and predicting the vibration mode change trend of the structure by comparing the deviation between the modal frequency obtained by simulation and the actually measured signal spectrum; according to the vibration mode change trend, matching similar vibration mode modes from a pre-established rotary table vibration mode database, obtaining corresponding vibration energy transmission path distribution, and determining an energy transmission abnormal region by analyzing the distribution of energy on each transmission path to obtain vibration energy transmission characteristics; according to an optimized motion instruction of a five-axis turntable, the dynamic response of the turntable is estimated, vibration frequency domain characteristics are extracted, and frequency domain compensation parameters are generated in combination with a preset frequency domain error matrix.

The invention relates to the technical field of fluid generators, in particular to a fluid generator and a fluid control device.The fluid generator comprises a piezoelectric actuator, a spacing part and a diaphragm, and a cavity is defined by the piezoelectric actuator, the spacing part and the diaphragm; the vibration antinode position of the diaphragm and the adjacent area of the antinode position protrude out of the surface of the diaphragm to form a convex part, so that the continuity of the rigidity of the diaphragm is broken, and a rigidity sudden change is formed at the outer peripheral edge of the convex part; as the amplitude of the antinode position and the amplitude of the area, closer to the outer side of the antinode, of the area adjacent to the antinode position are not in continuous gradient distribution any more, the area, opposite to the convex part, of the diaphragm can obtain larger vibration energy to generate larger amplitude, and then the output flow is increased; in addition, since the diaphragm forms stiffness abrupt change at the peripheral edges of the convex parts, at the same time, the first hole parts arranged in the areas, opposite to the convex parts, of the diaphragm are in or tend to the air outlet stroke or the exhaust stroke at the same time, and the output flow is further improved.

The invention relates to the technical field of dynamic weighing, and discloses a dynamic weighing error self-correction system based on multi-modal edge coordination, which comprises a multi-modal data acquisition module, a space-time alignment module, a dynamic error propagation modeling module and a coordination calibration and suppression module. According to the system, accurate positioning of an error source and whole-course tracking of a propagation path are realized through real-time construction of a vibration energy transfer topological graph and dynamic judgment of path priority, error diffusion is directly blocked by combining a piezoelectric ceramic reverse vibration wave neutralization technology, and the industrial problems of fuzzy error traceability and compensation lag in a traditional scheme are solved; through collaborative design of vibration wave velocity correction and temperature signal dynamic interpolation, space-time consistency compensation of cross-modal data is realized, and compensation logic conflicts are avoided in a cold-chain logistics temperature sudden change scene; based on an edge node intelligent dormancy and hidden fault self-sensing mechanism, the long-term stable operation of the system under the conditions of highway continuous weighing and industrial high load is ensured.

A concrete mortar mixing and stirring system belongs to the technical field of concrete production equipment. Aiming at the problems that an existing stirring system is difficult to accurately judge the mixing uniformity of concrete mortar and the quality is easily influenced due to excessive stirring or insufficient stirring, the system comprises a stirring tank, a vibration signal acquisition unit, a torque monitoring unit and a control unit, stirring blades in a stirring tank are driven by a motor, a vibration signal acquisition unit captures a tank body vibration signal, a torque monitoring unit detects the torque change of the motor, and a control unit decomposes the tank body vibration signal into a frequency domain signal and extracts a preset aggregate collision vibration frequency band energy value to generate a vibration energy sequence; and analyzing the torque change fluctuation intensity to generate a torque variation coefficient sequence, calculating a correlation coefficient sequence of the two, generating an adaptive shutdown threshold by a sliding time window, and cutting off a motor power supply when the correlation coefficient sequence is continuously lower than the threshold for a preset number of times. The device is mainly used for automatic stirring control of concrete mortar, and precise starting and stopping of the stirring process are achieved.

The invention provides a chemical pipeline flange loosening leakage early warning method and system based on distributed optical fiber sensing, and relates to the technical field of chemical safety monitoring. According to the system, a double-parameter distributed optical fiber sensor is arranged on the outer circle of a flange in a spiral winding mode, temperature and vibration signals of the flange are collected in real time and preprocessed, and the real-time change value of the temperature difference between a leakage point and the environment and the vibration energy value of the 20-200 Hz frequency band are obtained. Establishing a multi-modal signal fusion criterion model which comprises a vibration criterion (the sudden increase of vibration energy is greater than or equal to 3dB) and lasts for more than 10 seconds, and calculating the looseness degree of the bolt according to the vibration criterion; the real-time change of the temperature criterion is greater than or equal to + / -0.5 DEG C and lasts for more than 10 seconds; and a gradient early warning mechanism is implemented through the data model. The technology fills the blank of flange looseness monitoring and leakage early warning, realizes the sensitivity and reliability of flange looseness and leakage monitoring, and ensures the safety of chemical production.

The invention discloses a collaborative enhancement energy consumption mechanism and a support arm type fan tower drum damping device with the collaborative enhancement energy consumption mechanism, and relates to the technical field of engineering structure vibration, the collaborative enhancement energy consumption mechanism comprises a liquid column lever assembly and a plurality of inerter damping units symmetrically installed at the end of the liquid column lever assembly, and each inerter damping unit comprises a shell; the hydraulic damper and the linear-rotation converter are sequentially and axially installed in the shell from top to bottom, when the liquid column inclines, the first connecting plate is driven to drive the piston rod to stretch out and draw back, the piston rod drives the flywheel to rotate through the linear-rotation converter, and therefore vibration energy is transmitted to a fixed foundation structure through the second connecting plate to be dissipated; the invention further discloses a supporting arm type fan tower drum vibration reduction device, displacement of the vibration transmission part is transmitted to the liquid column lever through the connecting piece, the inerter damping unit is driven to stretch out and draw back, a complete energy consumption chain of the tower drum, the vibration transmission part, the connecting piece, the liquid column, the inerter damping unit and the ground is formed, and it is guaranteed that energy is stably transmitted to a fixed foundation structure.

The invention discloses a blast furnace cooling wall damage probability prediction method, which relates to the field of industrial equipment maintenance, and comprises the following steps: arranging a temperature sensor array, a vibration sensor and an acoustic emission sensor, and collecting temperature gradient data, mechanical vibration frequency and high-frequency stress wave signals in real time; calculating the slag crust thickness of the hot surface of the cooling wall based on an unsteady state heat transfer equation, introducing an in-furnace gas flow parameter correction model, and generating a dynamic slag crust thickness distribution cloud picture; establishing temperature and vibration reference threshold values under different working conditions according to historical operation data of the cooling wall, and detecting temperature over-limit accumulated duration and a vibration energy spectrum abnormal frequency band in real time; taking the temperature gradient range, the slag skin thickness variation coefficient and the vibration dominant frequency offset as input characteristics, training a multi-dimensional coupled damage probability prediction model through a random forest algorithm, and outputting a recent dynamic damage probability value of each section of cooling wall; and dividing risk grades according to the damage probability value, dynamically adjusting a threshold interval in combination with the real-time smelting strength of the blast furnace, and generating a differentiated maintenance suggestion set.

The invention relates to the technical field of spectrum detection and optical imaging, and provides a time domain stimulated Raman scattering method and system.The method comprises the steps that pumping pulses or Stokes pulses are modulated, two stimulated Raman excitation pulse pairs with adjustable relative delay are introduced, a to-be-detected sample is excited to generate transient stimulated Raman scattering, and the time domain stimulated Raman scattering is obtained; transient stimulated Raman scattering signals can be obtained, acquisition of hyperspectral data covering hundreds of wave numbers can be achieved only through single excitation, and the method has the advantage of being high in time resolution. Meanwhile, the spectral resolution of the vibration level life broadening limit can be obtained through the method, and the main technical bottleneck faced by the traditional stimulated Raman scattering spectrum technology can be solved at a time. The method can be applied to the fields of Raman scattering imaging, spectrum detection, related Raman probes and the like.

The present invention discloses a double-annular strong magnetic array nonlinear dynamic vibration absorber and design method for suspension vibration reduction, which belongs to the field of structural vibration control. The installation position and quantity are designed according to the vibration reduction requirements, and one is usually installed at the midpoint of the suspension. The vibration absorber comprises inner and outer magnetic ring arrays, counterweights, universal wheels and a base. It feeds back the control force in the opposite direction of the suspension vibration during movement, so that the suspension vibration energy is transferred to the vibration absorber and then less returned to the suspension, and the energy is dissipated through friction between the universal wheel and the base, the installation of air dampers and other measures. It introduces nonlinear stiffness, so that the optimal parameter domain range is expanded from the line domain to the surface domain, and thus has the outstanding advantages of easy parameter tuning and high vibration reduction robustness, and is easy to install, durable, and requires no or less maintenance. It is applicable to single, double and four-cable suspensions, and is expected to achieve the goal of good vibration reduction effect throughout the life cycle of the suspension, which has positive significance for ensuring driving and bridge safety and extending the service life of the suspension.

The invention relates to the field of concrete forming, in particular to concrete prefabricated part pouring and vibrating equipment for assembled small and medium-sized culvert gates, which comprises a vibrating table, the vibrating table is composed of a base frame at the lower part and a table plate at the upper part, and the table plate is provided with a limiting mechanism for clamping the bending angle position of a mold. According to the directional pushing type vibrating device, the L-shaped clamping plate is matched with the adjusting assembly, the bent corner of the mold is clamped and fixed, relative sliding of the mold and the table plate in the vibrating process is effectively avoided, it is ensured that vibration energy is efficiently transmitted into concrete, and the vibration efficiency is improved. The adjusting assembly can adjust the position of the L-shaped clamping plate in a rough adjustment and fine adjustment combined mode so as to accurately adapt to molds of different sizes, energy generated by the vibration motor is directly transmitted to the L-shaped clamping plate through the linkage piece, the energy is further transmitted to the bent corner of the mold, and targeted vibration on the area is achieved.

The invention relates to a numerical control machining dynamic error compensation method and system based on a space-time attention mechanism, and the method comprises the steps: synchronously collecting multi-source signals through a 9-axis MEMS vibration sensor, an infrared thermal imager and an acoustic emission sensor which are disposed at key parts of a machine tool, and constructing a space-time feature tensor fusing vibration energy, temperature gradient and acoustic emission features; inputting the tensor into a space-time attention network, extracting space correlation characteristics by using a graph convolution network, capturing time sequence correlation in combination with causal convolution, and generating a coupling weight matrix of thermal deformation, vibration and tool deflection; and the compensation amount is dynamically calculated based on a multi-physics field coupling formula, three-axis linkage compensation instruction generation is completed within 5ms through an FPGA hardware accelerator, and closed-loop writing is performed in a CNC system. The system comprises a multi-source sensing module, an edge computing unit and a cloud platform. According to the method, submicron real-time error compensation is achieved, the vibration suppression rate is 65%, and the machining efficiency is effectively improved.

The invention provides a self-adaptive energy recovery system and handheld ultrasonic equipment, and belongs to the technical field of ultrasonic equipment, and the self-adaptive energy recovery system comprises an energy recovery module which at least comprises a vibration energy recovery unit used for converting mechanical vibration generated by a vibration assembly into first electric energy and storing the first electric energy into an energy storage unit; the thermoelectric energy recovery unit is used for converting heat generated by the heating assembly into second electric energy and storing the second electric energy into the energy storage unit; the environment sensing module is used for monitoring and obtaining environment sensing information around and inside the equipment; and the self-adaptive energy management module is respectively connected with the environment sensing module and the energy recovery module and is used for outputting a control instruction to the energy recovery module according to the environment sensing information. The device has the beneficial effects that the cruising ability of the device is remarkably improved based on a self-adaptive energy recovery mechanism of vibration and heat energy; dynamic energy recovery and energy management are carried out through environment perception information, and the reliability and efficiency of the equipment in different use scenes are improved.

The invention discloses a power transmission system internal source excitation load and vibration transmission analysis method and system. The method comprises the steps that firstly, gear dynamic meshing rigidity, spline equivalent bearing rigidity and a flexible shaft model are obtained based on parameters of a gear, a spline and a rotating shaft, and then a power transmission system vibration transmission analysis model is established by combining bearing parameters; the method comprises the following steps: respectively obtaining a vibration acceleration signal of each bearing seat position through experiments and simulation, extracting a signal corresponding to each meshing excitation from each bearing seat measuring point signal through a defined comb filter, and calculating the vibration energy contribution of each meshing excitation; finally, through meshing excitation vibration contribution of multiple measuring points and a load transmission rule among parts obtained through simulation, a transmission rule of endogenous excitation load and vibration in the power transmission system is disclosed, vibration characterization of each measuring point in the power transmission system can be accurately obtained based on the method, a theoretical basis is provided for selection of sensitive measuring points, and the method has a wide application prospect. Therefore, support is provided for digital twin modeling and health management of the power transmission system.

The invention relates to the technical field of damping and shock absorption, in particular to a damping-adjustable composite shock absorption system for textile printing and dyeing equipment, which comprises a bottom plate and a top plate, a first shock absorption unit and a movable plate are mounted between the bottom plate and the top plate, and a first buffer spring is fixedly connected between the top plate and the movable plate; a second damping unit is installed between the movable plate and the bottom plate. During damping, vibration is buffered through telescopic deformation of a first buffer spring and a second buffer spring, oil liquid is pushed to flow in backflow oil pipes through vertical movement of a first piston rod, vibration energy is consumed through friction force between the oil liquid and the backflow oil pipes, and vibration of a machine body is restrained; the different backflow oil pipes are switched to be communicated with the oil storage cavity through the switching mechanism, the longer the backflow oil pipes are, the larger the on-way resistance when oil passes through the backflow oil pipes is, the higher the damping force is, and the damping device can be conveniently installed on textile printing and dyeing equipment with different vibration intensities for damping.

The invention belongs to the technical field of vibration analysis and testing of bearings, and particularly relates to a cam driven bearing wear degree monitoring method and system, and the method comprises the steps: carrying out the equal-angle resampling processing of a vibration signal through a rotating speed signal, decomposing an obtained angular domain vibration signal into a plurality of mode components through a variational mode decomposition algorithm, and carrying out the measurement of the vibration signal; according to the kurtosis value of each modal component and the correlation coefficient of each modal component and the original vibration signal, evaluating the impact saliency weight of each modal component, and performing weighted summation on the energy of each modal component to obtain comprehensive impact energy; calculating to obtain a speed decoupling wear index without the influence of the rotating speed by utilizing the comprehensive impact energy and the vibration energy calculated by the physical mapping model; and the speed decoupling wear index is compared with a preset self-adaptive alarm threshold value, and the wear state of the cam driven bearing is judged according to a comparison result. According to the invention, the problems of false alarm and missing alarm under the variable-speed working condition are solved.

The invention discloses a face milling cutter cutting vibration energy change characteristic identification method. Comprising the following steps: a high-efficiency face milling cutter cutting vibration experiment scheme, a cutting vibration experiment result and cutting time period division method, vibration acceleration time-frequency characteristics of different cutting time periods, a cutting vibration energy calculation method, a cutting vibration energy distribution identification method and a vibration energy dynamic characteristic evaluation method. By comprehensively analyzing and identifying the vibration energy in the milling process, the stability of the efficient milling cutter in the cutting process and the distribution characteristic of the vibration energy can be effectively revealed, and by resolving the vibration energy, the time-frequency characteristic parameters of the vibration energy in different cutting time periods in the process from the milling cutter to the process from cutting in to cutting out of a workpiece are extracted; therefore, the change rule of the milling vibration energy is accurately identified, the change characteristic of the vibration energy in the cutting process can be effectively identified, the cutting stability is improved, the negative influence of vibration on the machining quality is reduced, and the machining efficiency is improved.

The invention discloses a multi-mode intelligent tension self-adaptive control method, and belongs to the technical field of tension control of wire rod processing devices. According to the method, an LSTM-Transform hybrid model is utilized to realize the collaborative optimization control of tension prediction, the rotating speed and the pitch; by means of an edge computing architecture and a Modbus-TCP real-time communication protocol, a data processing and control instruction generation period is compressed to be within 50ms, and the dynamic response capability of a system is improved; and meanwhile, a graded safety protection mechanism is designed, a robust control mode is switched to at a millisecond level when vibration energy exceeds a limit or the temperature is abnormal, and the MES system is linked to push a fault code, so that the control precision is remarkably improved, the material loss rate and the operation and maintenance complexity are reduced, and a high-reliability and self-adaptive intelligent solution is provided for high-speed wire rod processing equipment.

The invention belongs to the technical field of hydraulic engineering, and relates to a dam safety monitoring system and method based on the Internet of Things, and the system comprises a vibration energy supply module, a cylindrical bluff body structure and a piezoelectric ceramic sensor are arranged on the upstream face of a dam, the bluff body structure is used for guiding water flow to form a Karman vortex street, and the water flow speed of the dam is monitored in real time; analyzing a Karman vortex shedding frequency based on an FFT spectrum, and matching the Karman vortex shedding frequency with the resonant frequency of the piezoelectric ceramic sensor to obtain dual-frequency matching data; the multi-dimensional observation acquisition module is used for converting kinetic energy of dam water flow into electric energy by using the generated Karman vortex shedding frequency, supplying power to a preset multi-dimensional sensor through the converted electric energy, and acquiring dam multi-dimensional observation data based on the multi-dimensional sensor; the three-dimensional hopping communication module is used for sensing and identifying power frequency and harmonic components of the surrounding environment in real time based on the dual-frequency matching data, and generating a dynamic avoidance frequency point table to complete frequency hopping switching; and the reliability and foresight of dam safety monitoring are enhanced.

The invention discloses an equipment energy efficiency optimization method and system based on factory affair data, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring equipment operation parameters, vibration energy data and user behavior information in real time, and constructing a three-dimensional feature matrix; analyzing the vibration energy data and the user behavior information to respectively obtain a vibration energy potential value and a user behavior compliance degree; the vibration energy potential value and the user behavior compliance degree are incorporated into an energy efficiency optimization objective function, and an equipment collaboration strategy is dynamically generated; and obtaining equipment fault parameters and external environment parameters, quantifying the influence of the equipment health state and the external environment change on the energy efficiency, dynamically adjusting the energy efficiency optimization objective function, and generating an equipment collaborative optimization strategy for equipment energy efficiency optimization management. According to the invention, a whole-process closed loop from data perception to intelligent decision making is realized, and intelligence and sustainability of equipment energy efficiency management are finally realized in a complex dynamic environment.

The present invention relates to the field of fluid control technology, and in particular to a fluid generating device, comprising a piezoelectrically driven actuator, a spacer and a diaphragm, wherein the diaphragm has a fixed portion and a vibrating portion, wherein the fixed portion is fixedly connected to one end of the spacer away from the actuator, and the vibration energy generated by the actuator, on the one hand, is transmitted to the diaphragm by causing pressure changes in the fluid in the chamber due to the vibration of the actuator, and more importantly, the energy is directly transmitted to the diaphragm by means of a mechanical coupling formed by the actuator and the diaphragm, thereby causing the diaphragm to vibrate, and the energy transfer efficiency is higher; in addition, by arranging a partition on the diaphragm, the partition separates the vibrating part into at least two vibration zones, and the ability of the diaphragm area opposite to the partition to resist elastic deformation when a force is applied is greater than the ability of the vibration zone to resist elastic deformation when a force is applied, and the vibration energy transmitted to the diaphragm will mainly act on the vibration zone, causing the vibration zone to generate vibrations with a larger amplitude, and the energy utilization rate is higher.

The utility model relates to the technical field of vibration damping devices, in particular to a wind driven generator tower tuning inerter vibration damping device which comprises a sliding support, the sliding support is mounted on a rest platform, and a mass block is slidably arranged on the sliding support in the horizontal direction; the counter-force frame assembly is fixedly connected to the rest platform, and an adjustable spring assembly and a liquid inerter damper assembly are connected between the counter-force frame assembly and the mass block; wherein the adjustable spring assembly and the liquid inerter damper assembly can rotate in the horizontal direction relative to the mass block and the reaction frame assembly, the adjustable spring assembly is used for buffering movement of the mass block in the horizontal direction, and the liquid inerter damper assembly is used for absorbing vibration of the mass block. According to the device, the damping effect of the device is improved through the amplification effect of inertial damping, the damping device can achieve balance of strong vibration energy with the small mass size, all the components of the device are supported to be disassembled and assembled, and installation and transportation are convenient.

The invention discloses a well drilling vibration measurement and real-time calibration system based on a vibration sensor, and relates to the technical field of data processing. The system comprises a signal measurement part, a signal correction compensation part, a signal analysis part and a signal calibration part, the signal measuring part is used for installing a vibration sensor and an accelerometer near a drill bit or a drill column and generating a fundamental frequency vibration signal; the signal correction compensation part is used for performing stick-slip effect compensation on the fundamental frequency vibration signal to obtain a first compensation signal; calculating the resonant frequency of the drilling system; calculating the bending stress of the drill string; calculating well track deviation; the signal analysis part is used for calculating the dynamic load of the drilling system to obtain the vibration energy dissipation of the drilling system; calculating the system response of the drilling system; and the signal calibration part is used for calculating a calibration coefficient. According to the invention, the precision and calibration capability of vibration signal measurement are significantly improved.

The invention discloses a frequency converter maintenance test system with a protection function, which belongs to the technical field of frequency converter testing and comprises a detection seat, a simulation unit for simulating actual working conditions of a frequency conversion control panel is arranged on the detection seat, and a detection mechanism for detecting a diode in the frequency conversion control panel is further arranged on the detection seat. Through dynamic cooperation of the polarization assembly and the rotary simulation disc, the vibration direction of the vibration source can be flexibly adjusted, so that a multi-dimensional vibration scene possibly encountered in actual work of the frequency conversion control panel is covered, and the problem that vibration source simulation is lacked in a traditional frequency converter testing process is solved; an elastic supporting environment of actual installation is simulated through the air bag spring suspension, vibration energy emission distortion caused by rigid fixation is avoided, the accuracy of a large-capacitance vibration fatigue test is improved, automatic step-by-step wiring operation of detection is achieved through cooperation of the detection driving assembly and the universal test meter, and the overall detection wiring efficiency is improved.

A wind turbine blade (20) that extends longitudinally in a spanwise direction between a root end (24) and a tip end (26), and in a chordwise direction between a leading edge (28) and a trailing edge (30), is disclosed. The wind turbine blade (20) includes a first opposing half-shell portion (34) and a second opposing half-shell portion (36) which together define an interior (38) the wind turbine blade (20), and at least one shear web (52) that extends between the first opposing half-shell portion (34) and the second opposing half-shell portion (36). The wind turbine blade (20) further includes at least one vibration damping device (60, 90, 122, 124, 126, 128, 132, 204, 224, 230, 250) for reducing noise emission from the wind turbine blade (20). The at least one vibration damping device (60, 90, 122, 124, 126, 128, 132, 204, 224, 230, 250) includes at least one resonating member (62, 138, 202, 232, 260) that extends from a surface of the wind turbine blade (20) to a distal end (70, 96, 156, 186, 206, 234, 262) that is configured to oscillate to dissipate vibrational energy away from the surface of the wind turbine blade (20).

The invention belongs to the field of bridge main body structure monitoring, and particularly discloses a bridge main body structure health monitoring and abnormity identification method, which comprises the following steps: arranging a vibration sensor array in a bridge span structure load distribution area to carry out vibration data acquisition, and carrying out wind-induced component correction on a vibration signal in combination with real-time wind speed data; accurate acquisition of vibration data required by bridge structure health monitoring is realized, and at the same time, when bridge structure abnormity identification is carried out based on a vibration signal after wind-induced vibration correction, a vibration energy propagation path map is constructed by carrying out phase and amplitude conjoint analysis on vibration wave data. On the basis, anomaly recognition is performed in combination with the frequency concentration degree and the amplitude mutation degree of the nodes, and on one hand, non-structural vibration interference is effectively eliminated through propagation path modeling; and on the other hand, the energy state change of the node in the propagation path is utilized to realize accurate identification of the energy abnormal propagation position, and the accuracy of damage positioning is improved.

The invention discloses an industrial personal computer with a UPS power-off protection function and a protection system thereof, and relates to the technical field of industrial personal computers, and the industrial personal computer comprises a protection case, a fixed base is installed at the bottom of the protection case, a battery is installed in the protection case, a chain type wire is arranged above the battery, and a management mainboard is arranged above the chain type wire. When the industrial personal computer runs, especially the industrial personal computer is placed in an environment with large vibration or impact, the multifunctional sliding block is driven by the fixing block to vertically press to drive the L-shaped clamping plate to horizontally extrude the fixing base, so that vibration energy can be effectively absorbed and dispersed. Through the design of the scheme, the reset springs and the rubber damping blocks in the L-shaped clamping plates are combined, and the double damping effect can be provided through the elastic effect of the springs and the buffering effect of the rubber damping blocks in the L-shaped clamping plates.