335 results about "Machine vibration" patented technology

The invention relates to the technical field of automatic control, in particular to a machine tool automatic adjustment control system which comprises a material analysis adjustment module, an environment adaptation adjustment module, a machining vibration compensation module and a machining energy efficiency management module. By monitoring and analyzing the running state of the machine tool in real time and adjusting the machine tool parameters based on historical machining data, the machine tool can automatically adjust the cutting speed and the feeding rate according to the physical characteristics of different materials, the machining efficiency is optimized, the machining quality of the workpiece surface is improved, the machine tool setting is adjusted according to the workshop environment change, and the machining efficiency is improved. The stability of the machining process and the quality of a workpiece are guaranteed, machining errors caused by vibration of the machine tool or the workpiece are reduced through real-time analysis and compensation of vibration data, the machining precision is kept, the energy utilization efficiency is improved through real-time monitoring and optimization of energy consumption of the machine tool, the production cost is reduced, and the production efficiency is improved. And the whole production process is more economical and environment-friendly.

The invention provides an anorectal surgery postoperative care rehabilitation evaluation method and system. Wherein a vibration sensor is constructed through a machine tool machining vibration monitoring technology, vibration frequency offset of the dressing after absorbing wound seepage is detected in real time, and the vibration frequency offset is associated with dressing weight variation; meanwhile, an optical scattering measurement technology is adopted for carrying out scattering spectrum analysis on wound exudate, and the protein concentration index is analyzed. And carrying out time sequence correlation on the weight change data corresponding to the vibration frequency offset and the protein concentration index to generate a seepage component dynamic change curve. And through a wireless transmission unit in the remote measurement system, performing remote synchronous comparison on the dynamic change curve and a preset healing stage reference curve, and when the vibration frequency offset exceeding the standard seepage amount continuously appears in the curve and the protein concentration index breaks through the threshold range, triggering a remote early warning signal of wound healing abnormity. According to the technical scheme provided by the invention, the nursing rehabilitation efficiency and precision are improved.

The invention discloses a rotating machine vibration protection method and system of an adaptive resonance neural network, and the method comprises the steps: collecting a millisecond vibration acceleration signal of a rotating machine through a distributed piezoelectric sensor array, obtaining the real-time working condition parameter of equipment, and generating a time-work synchronous vibration signal flow; inputting the time-work synchronous vibration signal flow into a resonance neural network, and dynamically generating a frequency domain-time varying adaptive threshold group in combination with the working condition parameters; extracting a weak impact resonance characteristic tensor by using a multi-scale resonance kernel of the resonance neural network; projecting a weak impact resonance characteristic tensor to an orthogonal fault subspace through a tensor decomposition algorithm, and separating out a decoupling fault characteristic matrix; and generating a real-time protection decision instruction set based on a comparison result of the decoupling fault feature matrix and the equipment operation historical database. According to the embodiment of the invention, the method can improve the detection sensitivity and positioning precision of a weak fault under an unsteady working condition, and achieves the real-time adaptive optimization of the vibration protection of the rotating machine.

The invention provides a robot machining vibration control method and system, and belongs to the technical field of robot vibration control. The method comprises the steps that tail end six-axis acceleration decoupling is carried out to sense robot tail end vibration; building a robot joint and tail end acceleration model, and obtaining a load side and tail end acceleration relation through a Jacobian matrix; estimating a load side joint speed by using a Kalman filter; designing an active damping controller, analyzing disturbance force influence, establishing a feedback item, and introducing a feedforward item to eliminate steady-state errors; and compensating the correction speed in the active damping controller into the speed ring controller to realize active vibration control. Vibration of the flexible joint robot can be accurately sensed and controlled, a body does not need to be transformed, tail end six-axis acceleration signals are introduced to achieve damping self-adaptive adjustment, and stability is improved.

The invention relates to the technical field of laser cutting, in particular to a fabric laser cutting device for preparing an integrated seamless dress and a preparation method.The fabric laser cutting device comprises a fabric cutting device body, a rail frame is slidably connected to the fabric cutting device body, and a supporting frame is slidably connected to the rail frame; the outer wall of the bottom of the supporting frame is fixedly connected with a mounting plate. Through synchronous movement of the pressing roller and the laser cutting head, the situation that in the laser cutting process, due to the fact that the pressing assembly cannot move synchronously along with the track of the laser cutting head, fabric in a laser cutting area slightly moves due to cutting force or machine vibration factors, and the cutting accuracy and edge quality are affected is avoided; correspondingly, when the pressing roller and the laser cutting head synchronously move, the fabric can be stably pressed along with the track of the laser cutting head in real time, the stable pressing effect can effectively prevent the fabric from slightly moving due to factors such as cutting force or machine vibration in the cutting process, and therefore the cutting accuracy is improved.

The invention relates to the technical field of elevators, in particular to an elevator traction machine vibration reconstruction method and system based on a millimeter wave radar. The method comprises the steps that in the elevator running process, echo signals of a millimeter wave radar are collected; firstly, a continuous phase sequence is obtained through echo signals; generating a rough vibration signal in a radar sight line direction according to a phase-displacement mapping relation, calculating a physical confidence coefficient, constructing a dual-channel physical prior tensor, synthesizing a three-axis reconstruction vibration signal tensor by using a PGGN physical gating generation network, and finally performing physical rationality evaluation on the three-axis reconstruction vibration signal tensor. And adjusting the gating parameters of the anisotropic physical gating unit according to the evaluation result. On the premise that a contact sensor does not need to be installed on the surface of the traction machine for a long time, physical consistency reconstruction of the three-axis vibration signals of the elevator traction machine is achieved.

The invention provides a rotating machine fault diagnosis method based on OCSSA-VMD-CNN-BILSTM. The rotating machine fault diagnosis method comprises the following steps: inputting a rotating machine vibration signal; obtaining a range of a vmd decomposition layer number K value through a center frequency method, and setting a range of a penalty factor alpha; and taking the minimum sample entropy as a fitness function, and performing parameter optimization on the VMD by using an improved sparrow optimization algorithm OCSSA to obtain a [K, alpha] optimal combination. According to the method, the bearing fault diagnosis model is built based on the CNN-BILSTM model, the multi-strategy fusion improved sparrow search algorithm (OCSSA) is utilized to optimize the VMD parameters, and when the model is subjected to hyper-parameter optimization, the OCSSA has extremely high convergence speed and extremely high test precision. According to the method, the optimal parameters of the vmd can be obtained without priori knowledge, the algorithm efficiency is improved, manual parameter screening is avoided, higher diagnosis precision and stability are achieved, and the generalization and intelligent level of a diagnosis model are greatly enhanced.

The invention relates to the technical field of aero-engine vibration analysis, and discloses a variable cycle engine complete machine vibration energy transfer characteristic analysis method based on a power flow method, and the method specifically comprises the following steps: 1, calculating an instantaneous power flow and a steady state power flow of a structure through a vibration power flow calculation method; 2, calculating the power flow of the structure through comsol software, and achieving the visualization of power flow energy transmission; and step 3, calculating the transmissibility of the power flow and quantifying the transmission of the vibration energy, specifically, assuming that the instantaneous load borne by the structure at the node i is Fi (t) at a certain moment and the response speed caused at the node i is vi (t), and calculating the transmissibility of the power flow by combining a power flow visualization method and a steady-state power flow calculation method. The vibration energy flow can be visualized, the size of the transmitted energy is quantified, and the method has important theoretical significance and practical value for optimizing the vibration characteristics of a new generation of aero-engines and improving the stability and reliability of the engines.

The invention discloses a drilling force prediction method based on a Clarii figure, which comprises the following steps: representing drilling vibration of a composite material with carbon fibers in unidirectional arrangement through the Clarii figure to obtain a frequency value of self-excited vibration of a workpiece, then solving a dynamic cutting force coefficient under the influence of the drilling vibration, and in the dynamic cutting process, calculating the dynamic cutting force coefficient of the workpiece. And predicting the dynamic cutting force according to the dynamic cutting force coefficient, the cutter rotating speed, the cutter feeding speed and the cutting area at the feeding time. By predicting the change of the cutting force, machining vibration caused by violent fluctuation of the cutting force can be avoided, so that the risks of cutter damage and workpiece surface defects are reduced, cutting parameters can be helped to be adjusted, the stability of the cutting process is kept, and the machining precision and the surface quality are improved.

The invention provides an intelligent active suspension system of a centrifugal machine, which belongs to the technical field of centrifugal machines and comprises an air spring mechanism, an actuating mechanism arranged beside the air spring mechanism, a control mechanism arranged beside the actuating mechanism, and an air supply mechanism arranged beside the spring mechanism. An anti-toppling structure is arranged inside or outside the air spring mechanism, a sensor body is arranged inside the air spring mechanism, the air spring mechanism is composed of an air spring body, a spring upper mounting plate and a spring lower mounting plate, and the spring upper mounting plate is fixed to the top of the air spring body. The advantages can be fully exerted, the problems existing in an existing centrifugal machine vibration isolation technology are effectively solved, the overall performance and reliability of the centrifugal machine are improved, and more stable, efficient and safe technical support is provided for the centrifugal separation process in industrial production; and the use height and the vibration isolation effect of the intelligent active suspension of the centrifugal machine can be adjusted according to use requirements.

The invention provides a mechanical watch movement second shaft machining method. The mechanical watch core second shaft machining method comprises the steps that a, a high-precision metal bar is adopted and cut into a machining blank meeting the length requirement of a second shaft, preliminary deburring and polishing treatment are conducted on the surface of the blank, machining errors caused by surface defects are reduced, and materials with obvious defects are removed through quality detection; according to the mechanical watch core second shaft machining method, through application of the key model and the optimization technology, the machining precision and the surface quality of the mechanical watch core second shaft are remarkably improved. Through introduction of the flexible clamping device and combination of an elastic modulus and pressure distribution optimization algorithm, the problem of workpiece deformation caused by too large clamping force in traditional machining is effectively solved, and the method is particularly suitable for machining of a second shaft with a small size. According to the high-frequency ultrasonic vibration auxiliary turning technology, by means of dynamically-adjusted vibration frequency and cutting force distribution, the influence of machining vibration on the surface quality is reduced, and the cutting efficiency is remarkably improved.

The invention relates to the technical field of vibration monitoring, in particular to a rotating machine vibration protection method and system based on particle swarm optimization, and the method comprises the steps: obtaining a corrected load torque based on a polynomial fitting temperature compensation algorithm in combination with a real-time environment temperature and a sensor output voltage, and synchronously calculating an actually measured vibration amplitude; configuring the number of variational mode decomposition layers according to the real-time rotating speed of the rotor to obtain a preprocessed vibration signal, adjusting the number of independent component analysis iterations according to the load torque, separating the preprocessed vibration signal to obtain independent vibration components, and generating a feature vector; calibrating adaptive resonance theory network parameters based on a particle swarm optimization algorithm, obtaining a normalized feature vector, calculating the similarity with a fault feature template, outputting a diagnosis result, calculating the deviation between an actually measured vibration amplitude and a normal vibration threshold, and performing compensation according to the diagnosis result and the deviation. According to the scheme, the fault diagnosis accuracy of the rotary mechanical vibration protection system is effectively improved through multi-working-condition self-adaptive diagnosis.

The invention discloses a rotating machine fault diagnosis method based on a conditional decoupling representation enhanced network, and the method comprises the steps: capturing fault features from a known source domain and an unknown target domain for an acquired rotating machine vibration signal through a deep convolution feature extractor for a scene of rotating machine data category imbalance and cross-domain fault diagnosis; high-quality class semantic information is generated through a decoupling representation enhancement module to enhance minority class features in a high-dimensional feature space, so that inter-class data distribution is balanced, the influence of number difference of different classes of samples is reduced, then, the attention degree on minority classes is improved through condition discrimination comparison loss, and the accuracy of classification is improved. The intra-class feature compactness of the same class cross-domain is enhanced; and finally, a required unbalanced domain generalization mechanical fault diagnosis model is formed. According to the method, the influence of class imbalance can be overcome, the generalization ability and robustness of an unknown target domain can be improved, and the accuracy of rotating machine fault diagnosis is effectively improved.

The present invention discloses an industrial preventive maintenance data acquisition system, which belongs to the field of data acquisition and processing technology. In the system, an external battery is connected to a main controller module, a 1.8V power conversion module and a 3.3V power conversion module respectively through a battery interface module in the system, and provides working power for an analog-to-digital converter and a communication module after conversion. The vibration sensor transmits the collected machine vibration frequency response information to the analog-to-digital converter, which is transmitted to the main controller module after processing, and then transmitted to the external industrial gateway by the communication module. The query command of the industrial gateway for the machine status is transmitted to the main controller module through the communication module, and the main controller module obtains the vibration frequency response information of the machine equipment according to the command and feeds it back to the industrial gateway. The present invention can intelligently, quickly and continuously collect and process the machine operation status data, so that technicians can grasp the operation status of the machine in advance to prevent and control machine failures.

The subject matter of the invention relates to a method for the automatic technical diagnosis of rotating machines, including detection of faults in rotating machines, in particular vibration measurements of rotating machines by the automatic detection of changes in the signals of machine vibration. The method consists in that monitoring and diagnosis are performed in terms of identifying both the assemblies or parts of an object of the rotating machine subjected to the diagnosis, in such a way that vibration data are recorded in the form of a vibration signal from at least one vibration sensor (2) mounted on the housing of the mechanical elements of the rotating machine (1), wherein each subsequent vibration signal is recorded at the same length and at the same sampling frequency. Then, collected vibration signals are processed in a vibration data acquisition unit (3) equipped with a reductive-redundant mechanism (4) by means of which the vibration signal is modified by calculating the values of spectral components in the domain of frequency or orders and the values are segmented relative to subsequent tested spectral resolutions on the basis of current scale of class intervals. Then, an averaged spectrum is calculated and added to the state matrix and a statistical measure of the comparison of spectral amplitudes is calculated for individual class intervals at the standard score measure and the procedure is repeated for each tested spectral resolution in the range from the value equal to the inverse of the vibration signal length to half the sampling frequency. Finally, the results of the vibration growth index are saved, then are sorted from the highest to the lowest value thus allowing the potential occurrence of a fault to be determined in terms of identifying both a specific assembly or part of the rotating machine (1).

The invention discloses a linear friction welding machine vibration compensation control method based on iterative learning, and the method comprises the steps: collecting a vibration signal of an electro-hydraulic servo vibration system of a linear friction welding machine in a welding process, determining a vibration amplitude, frequency and vibration center deviation, and when the vibration amplitude or the center deviation exceeds a preset threshold value, starting the linear friction welding machine; the controller starts vibration compensation control; an electro-hydraulic servo vibration system model is established, the rigidity characteristic and the dynamic load change of the system are comprehensively considered, an iterative learning control law of a controller is designed, and control convergence conditions are analyzed to ensure the stability and the high efficiency of control; based on the output of the controller, the error trend of the vibration signal is predicted in real time in combination with historical iteration data, and a feed-forward control signal is generated through a feed-forward compensation mechanism to adjust the vibration signal error in advance. According to the method, the iterative learning is applied to the vibration compensation control of the linear friction welding machine, so that the precise compensation of the vibration signal is realized.

The invention belongs to the technical field of robot machining vibration suppression, and particularly relates to a two-way electromagnetic type variable-stiffness damper for suppressing robot machining vibration and a kinetic parameter optimization method of the two-way electromagnetic type variable-stiffness damper. The damper comprises an electromagnetic variable-rigidity elastic element and a connecting shaft, the electromagnetic variable-rigidity elastic element comprises a permanent magnet fixedly arranged on the connecting shaft in a sleeving mode and a solenoid coil arranged in the circumferential direction of the permanent magnet, and the solenoid coil is in sliding connection with the connecting shaft; when the solenoid coil is electrified, the generated magnetic field direction is the same as the magnetic field direction of the permanent magnet. The magnetic field intensity in the coil is changed by adjusting the input current in the coil, so that the rigidity of the damper is quickly adjusted in a large range; on the basis, a tool nose frequency response prediction model considering the influence of the additional damper is established, and according to a tool nose frequency response test result of the robot milling system under the multi-pose condition, fixed kinetic parameters of the damper are optimized.

The invention relates to the technical field of numerical control machining, and discloses an end mill tool bit parameter optimization method which comprises the following steps: step 1, collecting cutting force data, cutting temperature data and machining vibration data in a machining process in real time through a sensor group integrated on an end mill tool bit; the sensor group comprises a strain sensor, a temperature sensor and a vibration sensor; 2, the collected cutting force data, cutting temperature data and machining vibration data are subjected to wireless processing; according to the technical scheme, a closed-loop control system is constructed, the feeding speed, the cutting angle and the cutting depth are automatically adjusted according to dynamically-changed cutting force and vibration data, it is ensured that the machining process is always kept within a stable interval, the machining precision and the surface quality of a workpiece are effectively improved, and the machining efficiency is improved. Compared with the technical scheme that fixed preset parameters are adopted for machining in the prior art, the defect that the precision and quality of the workpiece are finally damaged due to process instability caused by the fact that adaptive adjustment cannot be achieved is overcome.

The invention discloses a lightweight damping turning tool bar, and belongs to the technical field of machine tool cutters. The turning tool bar comprises a tool body, a plurality of cavities are formed in the tool body in the length direction, and the part, between every two adjacent cavities, of the tool body is of a BCC lattice structure. The closed magnetic pole device comprises a plurality of magnetic pole pieces which are respectively positioned at the bottom and the side wall of the cavity; the swing type vibration absorber is arranged in the closed magnetic pole device composed of the multiple magnetic pole pieces, magnetic pole patches corresponding to the magnetic pole pieces one to one are arranged on the outer side face of the swing type vibration absorber, and the polarities of the magnetic pole patches and the sides, opposite to the magnetic pole pieces, of the magnetic pole patches are the same, so that the magnetic force of the magnetic pole pieces and the magnetic force of the corresponding magnetic pole patches repel each other. The weight of the cutter bar is reduced, the influence of cutting machining vibration caused by long overhanging of the cutter bar is weakened, vibration transfer is achieved through the swing type vibration absorber structure, fluttering is restrained, the machining stability is improved, and the machining precision is guaranteed.

The invention belongs to the technical field of aero-engine complete machine vibration, and particularly relates to an aero-engine shared bearing frame-double rotor system vibration coupling suppression method which comprises the steps that structural parameters of a shared bearing frame-double rotor system of an aero-engine are input; establishing a finite element model, and calculating to obtain a Campbell graph; selecting a dangerous rotating speed point in the working rotating speed range, calculating the transient dynamic response of the shared bearing frame-birotor system, and judging whether the transient dynamic response meets the requirement or not; and carrying out optimization design on the dangerous rotating speed points which do not meet the requirements, and repeating the steps until the transient dynamic response of the dangerous rotating speed points of the shared bearing frame-birotor system in the working rotating speed range meets the requirements. According to the invention, the vibration coupling of the common bearing frame-double rotor system of the high thrust turbofan engine under complex working conditions is effectively suppressed, so that the aero-engine has a relatively stable working state within a working speed range.

The invention discloses a method and system for processing grinding vibration management data of a grinding machine, and relates to the technical field of data processing.The method comprises the steps that real-time grinding machine vibration data and real-time grinding feed amount are obtained, and sampled grinding machine vibration data and sampled grinding feed amount are obtained; real-time vibration displacement data in the X-axis direction, the Y-axis direction and the Z-axis direction, real-time three-axis feeding amounts in the X-axis direction, the Y-axis direction and the Z-axis direction, sampling vibration displacement data in the X-axis direction, the Y-axis direction and the Z-axis direction, sampling feeding amounts in the X-axis direction, the Y-axis direction and the Z-axis direction, an X-axis vibration variable quantity, a Y-axis vibration variable quantity and a Z-axis vibration variable quantity, and an X-axis feeding variable quantity, a Y-axis feeding variable quantity and a Z-axis feeding variable quantity are obtained; acquiring an X-axis abnormal index, a Y-axis abnormal index and a Z-axis abnormal index, marking an abnormal axial direction, and marking a normal axial direction; and real-time vibration displacement data and real-time feed amount are obtained, and corrected vibration displacement data are obtained. The method has the advantages of three-axis solution processing, sampling self-adaption and abnormity correction.

The invention relates to the technical field of equipment monitoring, and discloses a screening machine operation monitoring method and system. The method comprises the following steps: carrying out vibration anti-interference stabilization processing on a real-time acquired image of a working area of the screening machine to obtain an operation monitoring image; performing domain-divided visual feature analysis to obtain screen tension state data, material flow state data and equipment vibration state data; performing coupling relevance verification according to the tension state data of the screen and the actually measured data of the vibration sensor of the screening machine to obtain an abnormal operation judgment result of the contact sensor; when the abnormal operation judgment result indicates that the contact sensor fails, visual data replacement compensation processing is carried out, and target operation parameters are obtained; and screening process parameter optimization is carried out based on the target operation parameters, and a screening machine excitation device control instruction is output. According to the method, various fault types of the contact sensor can be accurately identified, and the optimal screening performance can still be maintained under the condition that the sensor fails.

The invention relates to the technical field of capacitor testing, in particular to a full-working-condition equivalent testing system and method for a capacitor for direct-current power transmission. The method comprises the following steps: applying a single-frequency AC component to a capacitor, and obtaining an inherent single-frequency loss baseline of the capacitor under single-frequency excitation; determining harmonic coupling loss according to the single-frequency loss baseline; strong interaction harmonic pairs are screened out according to harmonic coupling loss, and additional loss is measured again under the condition that controlled thermal gradient disturbance and mechanical resonance excitation are applied to calibrate a thermal field gain factor and a mechanical vibration gain factor; and based on the thermal field gain factor and the mechanical vibration gain factor, evaluating the total loss of the full-working-condition test to obtain full-working-condition test data. According to the method, accurate evaluation and contribution degree decomposition of the loss characteristics of the capacitor under the multi-physical-field full working condition are realized.

The invention relates to the technical field of aluminum profile machining detection, and discloses an aluminum profile machining quality detection system and method based on multi-dimensional data analysis, and the method comprises the steps: S1, collecting cutting end face image data through an industrial camera, collecting cutting contour size data through a laser sensor, and collecting machining vibration signal data through a vibration sensor; through cooperative acquisition of the industrial camera, the laser sensor and the vibration sensor, the limitation of a single sensing dimension on surface quality, size precision and dynamic stability monitoring is overcome, the processing quality of a single aluminum profile is effectively and comprehensively judged and analyzed, and the processing quality of the single aluminum profile is effectively and comprehensively judged and analyzed by utilizing score feature extraction and multi-window trend analysis in a sliding window. The stability of the aluminum profile machining process is further judged and early warned, the comprehensiveness and accuracy of aluminum profile quality evaluation are improved, and process abnormity can be recognized before the quality problem is dominated.

The vibrating screen for the vertical sand spraying machine comprises a screen frame, a screen plate, a drainage partition plate, a vibrator and a flow guide pipe, the screen plate is arranged at the bottom of the screen frame, screen holes are evenly formed in the screen frame and the screen plate respectively, and the vibrator is arranged on the outer wall of one side of the screen frame; an integral structure formed by connecting the screen frame and the screen plate is obliquely arranged, the drainage partition plate is arranged in the integral structure formed by connecting the screen frame and the screen plate, and the portions, located on the two sides of the drainage partition plate, of the screen plate are provided with a feeding position and the flow guide pipe correspondingly; an opening is formed in the side, away from the feeding position, of the drainage partition plate. The vibrating screen has the advantages that the vibrating screen is simple in overall structural design, effective separation of sand grains and sand bumps is achieved with extremely low cost, the blocking frequency of the screen plate is remarkably reduced, the noise reduction effect is greatly improved, the failure rate of a sand spraying machine is reduced, and uniformity in the sand spraying process is achieved.

The application provides an oil fume machine vibration testing device and a design method thereof, and relates to the technical field of oil fume machine vibration testing equipment. The design method mainly comprises the following steps: constructing a finite element model of the target oil fume machine vibration testing device; determining whether all the natural frequencies of the finite element model are located outside a preset motor excitation frequency range; if not, modifying the current finite element model to pass the modal checking stage; for the finite element model that passes the modal checking stage, applying a preset virtual load at the motor installation position to perform vibration simulation, and determining whether the maximum displacement is greater than or equal to a predetermined threshold; if not, modifying the current finite element model to pass the stiffness checking stage, and repeating the modal checking stage; iteratively performing the modal checking stage and the stiffness checking stage. Through the embodiments provided in the application, the oil fume machine vibration testing device designed can simulate the vibration of the oil fume machine during operation, and reduce the influence of resonance and forced vibration.

The application discloses a non-Newtonian fluid elastic auxiliary support clamp and belongs to the technical field of machining clamps. The clamp comprises a bottom plate provided with arrayed stepped mounting holes, an elastic auxiliary support assembly, a fixed support assembly and a pressing assembly. The upper section of the mounting hole is a smooth hole, and the lower section is a threaded hole; the elastic auxiliary support assembly comprises a non-Newtonian fluid medium filled in the hole, a compression spring arranged at the bottom and an elastic support nail in the shape of a stepped shaft. The fixed support and the pressing assembly are fixed in the mounting hole through threads. The application utilizes the shear thickening characteristic of the non-Newtonian fluid, and under the action of a milling impact force, the medium is instantaneously solidified to generate rigid support, thereby effectively inhibiting machining vibration and tool relief deformation of the overhanging part of a thin-walled plate part. The application has the advantages of simple structure, low cost, good universality and adaptability to multi-variety and small-batch production.

The invention discloses a TV wall mount, comprising a left and a right mounting seat arranged at intervals, a rotating shaft and a stop shaft respectively arranged between the left and the right mounting seats, a plurality of hooks which can rotate around the rotating shaft are sleeved on the rotating shaft in a horizontal arrangement, a clamping groove for clamping the stop shaft is provided on the hook, a fixing screw extending rearward and a mounting screw extending forward are respectively provided on the left and the right mounting seats, the mounting screws are detachably connected to the left and the right mounting seats, an opening groove for inserting a crown portion of the mounting screw from top to bottom and a guide groove for inserting a rod portion of the mounting screw from top to bottom are provided in the left and the right mounting seats, a pair of elastic buckles are provided on both sides of the crown portion of the mounting screw in the opening groove; when the invention is used for wall hanging, the hook is folded so that the clamping groove on its back is clamped with the stop shaft to prevent machine vibration; when the invention is used, the hook only needs to be flipped forward, and the hook can be used to hang objects or decorations.

The utility model relates to tire performance test equipment technical field provides a kind of tire vibration signal mechanical filtering device, comprising: mounting base, damping material and vibration sensor mounting seat, the mounting base is fixedly installed on the wheel axle of tire high-speed endurance testing machine, vibration sensor mounting seat bottom is set in the recess on mounting base, the connecting place of vibration sensor mounting seat and mounting base is filled with damping material, vibration sensor is provided on vibration sensor mounting seat, damping material split type is set, the utility model uses mechanical filtering device, filters out the testing machine vibration signal of high frequency, so that the vibration signal of more clear and understandable expression tire is shown vibration signal, compared with traditional digital filtering signal, can filter out interference signal from source, more effectively process high-frequency impact and other abnormal signals, and mounting base, damping material and vibration sensor mounting seat are convenient for installation connection between.

The invention discloses a dry bulk cargo port rotating machine fault diagnosis method based on a Transform-KAN network, and the method comprises the steps: obtaining an original vibration time sequence signal of a dry bulk cargo port rotating machine with a marked fault type, carrying out the preprocessing of the original vibration time sequence signal, and obtaining a preprocessing time sequence signal; the method comprises the following steps: constructing a Transform-KAN fault diagnosis model, wherein the Transform-KAN fault diagnosis model comprises an input module, a Transform encoder module, a feature aggregation module and a KAN network module; taking the preprocessed time sequence signal as feature data, taking the fault type as label data to obtain a sample data set, and performing model training on the constructed Transform-KAN fault diagnosis model according to the sample data set to obtain an optimal fault diagnosis model; and inputting a to-be-diagnosed rotating machine vibration time sequence signal to the optimal fault diagnosis model so as to realize fault diagnosis of the dry bulk cargo port rotating machine. The technical problems that an existing rotating machine fault diagnosis method is low in diagnosis accuracy, poor in anti-interference capacity, difficult to adapt to harbor severe environments and the like are solved.