254 results about "Machine vibration" patented technology

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 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 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 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 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 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.

The application relates to the technical field of aerospace part machining, and discloses a machining method for a thin-wall weak-rigidity long-span annular hollow structure part, which comprises the following steps: S1, preparation of a part blank; S2, clamping of the part blank by using a front face pad-up tooling, and the like. For the clamping of the thin-wall weak-rigidity structure, a self-adaptive compression tooling is designed to realize self-adaptive compression of the part, so that the clamping force direction of the self-adaptive compression device is perpendicular to the larger surface among all the contact surfaces between the main positioning element and the part, the part has sufficient clamping rigidity, machining vibration is prevented, the machining efficiency is improved, and the part surface quality is ensured; the part is divided into zones for stable cutting machining by taking the part reinforcing ribs as the division interfaces; the principle followed in the stable machining is'machining from the weak-rigidity part to the stronger-rigidity part', the unprocessed part of the zero is fully utilized to support the part being milled, the part is always in the best rigidity state, and the machining spring of the part is effectively prevented.

The application relates to the technical field of gear machining, in particular to an intelligent hole expanding device and method for gear forging, which comprises a machine base and a pressure head capable of expanding the hole of a gear workpiece, the surface of the pressure head is fixedly connected with sawteeth, further comprises a moving bracket arranged above the machine base and used for supporting the gear workpiece, the top of the moving bracket is provided with an inclined bracket matched with the gear workpiece tooth groove, one end of the inclined bracket is fixedly connected with a plurality of extension cylinders capable of extending into the gear workpiece tooth groove, the inside of the inclined bracket is provided with an oil tank storing silicon oil, the oil tank is communicated with the extension cylinders through a delivery cylinder, the outer surface of the extension cylinder is provided with flexible sheets capable of extending and abutting against the gear workpiece tooth groove, the inside of the delivery cylinder is provided with a driving assembly capable of driving the flexible sheets to extend, and one side of the inclined bracket is provided with an extending assembly capable of driving the silicon oil to flow and providing power for the driving assembly. The flexible sheets can self-adaptively extend and abut against the inner wall of the gear tooth groove to absorb machining vibration.

The invention relates to the technical field of washing machine damping, in particular to a washing machine vibration isolator and a washing machine. The washing machine vibration isolator comprises a hydraulic cylinder and a movable rod sliding in the axial direction of the hydraulic cylinder, a piston is connected to the end, located in the hydraulic cylinder, of the movable rod and is in sealed sliding connection with the inner wall of the hydraulic cylinder, and the piston divides the interior of the hydraulic cylinder into a first liquid cavity and a second liquid cavity; one end of the external pipe is communicated with the interior of the first liquid cavity, the other end of the external pipe is communicated with the interior of the second liquid cavity, and an electric valve is arranged on the external pipe; the first limiting piece and the second limiting piece are arranged at the two ends in the hydraulic cylinder respectively and are arranged in the axial direction of the hydraulic cylinder. Through cooperation of the external pipe, the electric valve and the pressure sensor, the oil flow resistance can be adjusted, and the vibration requirements of the washing machine in different operation stages are met; the vibration isolator is long in service life and wide in application range, and the operation and use effects of the washing machine can be effectively improved.

The utility model relates to a novel brick making machine vibration device, the bottom of a vibration mechanism is fixedly connected with a noise reduction protection supporting mechanism, a connecting mechanism is arranged between a vibration operation table and the noise reduction protection supporting mechanism, the noise reduction protection supporting mechanism comprises four fixing columns, four noise reduction baffles are connected among the outer surface walls of the four fixing columns in a sliding mode, and the noise reduction baffles are connected with the vibration operation table. The number of the connecting mechanisms is four, the four connecting mechanisms are connected to the four fixing columns correspondingly, the upper fixing plate is fixedly connected to the bottom wall of the vibration operation table, the upper limiting barrel is fixedly connected to the bottom wall of the upper fixing plate, the lower fixing plate is fixedly connected to the top faces of the fixing columns, and the lower limiting barrel is fixedly connected to the top wall of the lower fixing plate. Two ends of the connecting spring are respectively clamped in the upper limiting barrel and the lower limiting barrel; effective damping capacity is provided through the arranged connecting mechanism according to the elasticity of the connecting mechanism, the outer surface walls of the fixing columns are shielded and sealed through the noise reduction baffles, and the noise transmission effect is effectively reduced.

The utility model discloses a leakproof device for feeding modified plastic granules, which comprises a modified plastic granule processing machine, a feed pipe is mounted at the top of the modified plastic granule processing machine, a first mounting hose is sleeved on the outer ring of the feed pipe, a connecting pipe is fixedly mounted at the top end of the first mounting hose, and a receiving hopper is welded on the outer ring of the connecting pipe. A second mounting hose is fixedly mounted at the top end of the connecting pipe, and hose clamps are arranged on outer rings of one sides of the first mounting hose and the second mounting hose. By arranging the hose, the hose clamp, the ratchet wheel, the pawl and the like, the hose clamp is prevented from loosening due to machine vibration when a related machine is started; by arranging the first mounting hose, the second mounting hose, the hose clamp and the like, flexible connection at the connecting position is achieved, the situation that according to traditional rigid connection, when a related machine is started, vibration occurs, and consequently the connecting position is staggered is avoided, and the connecting stability is improved.

The utility model relates to the technical field of continuous casting machine vibration, and discloses a vibration device for a metallurgy continuous casting machine, which comprises a mounting base and a vibration rack, one side of the vibration rack is fixedly connected with a mounting rack, the lower end of the mounting rack is fixedly connected with a second sliding cylinder, and the periphery of the upper end of the mounting base is provided with sliding grooves. Four sliding grooves are formed in the lower end of the vibration rack, sliding blocks are slidably clamped to the inner surfaces of the four sliding grooves, buffering bent rods are rotationally connected to the upper ends of the four sliding blocks, the upper ends of the four buffering bent rods are rotationally connected with the four corners of the lower end of the vibration rack correspondingly, and first buffering springs are fixedly connected to one sides of the four sliding blocks; the two sides of the upper end of the installation base are both provided with sliding rods, and the two ends of the two sliding rods are both fixedly connected with first fixing blocks. When the device vibrates a crystallizer, force borne by the vibration rods of the device is minimized, metal fatigue of the device is relieved to the maximum extent, and the service life of the device is prolonged.

This invention provides a compound gravity separator, comprising a frame; at least two gravity platforms spaced apart vertically; wherein each pair of adjacent gravity platforms is connected by a transmission support arm; the upper end of the transmission support arm is hinged to the upper gravity platform, the lower end of the transmission support arm is hinged to the lower gravity platform, and the middle part of the transmission support arm is rotatably connected to the frame; and a drive mechanism, mounted on the frame and located around the at least two gravity platforms. The compound gravity separator provided by this invention achieves vibration of multiple gravity platforms driven by a single drive unit through a stacked arrangement and a reverse linkage design of the transmission support arms. This eliminates multiple independent drive systems, significantly reducing costs and energy consumption; utilizes the inertial cancellation principle of reverse motion to significantly reduce overall machine vibration; the stacked structure reduces the floor space compared to traditional series layouts, and the material falls by gravity, eliminating the need for intermediate lifting and conveying devices.

The invention discloses a battery pack heat shield baffle and a punching die thereof, the baffle comprises an L-shaped plate provided with a through hole, and the bending part of the baffle adopts a fillet design, so that the stress concentration is reduced. The punching die is composed of an upper die base, a bottom plate, a guide rod and the like, the upper die base is provided with a pre-pressing plate and a push block, the lower die base is correspondingly provided with a clamping base, the pre-pressing plate is connected with the upper die base through a spring, when the lower die base is hydraulically driven to press downwards, the pre-pressing plate firstly makes contact with a plate for auxiliary limiting, the push block pushes a sliding block to drive a pressing rod to abut against the plate, and precise positioning of punching is guaranteed. Meanwhile, the die forms a progressive buffering system through the vertical plate, the transmission head, the rubber pad and other components, when the upper die base is pressed downwards, the transmission head extrudes the rubber pad, a series of transmission structures are driven, vibration waves are reduced, machining vibration is avoided, punching force is output stably, and generation of micro cracks on the surface of a workpiece is restrained. The machining precision and quality of the battery pack heat shield baffle are remarkably improved, the service life of the mold is prolonged, and the product reliability is guaranteed.

The utility model provides a T-shaped groove milling cutter which comprises a cutter handle and a cutter head arranged on the cutter handle and coaxial with the cutter handle, the cutter head is provided with three cutting edges which are arranged at intervals along the circumferential direction of the cutter head and are consistent in rotating direction, and a first end edge and a second end edge are respectively arranged on two sides of each cutting edge in the axial direction of the cutter head. A chip groove is formed between every two adjacent cutting edges, the included angle formed between each cutting edge and the axis of the tool bit is a spiral angle, and the adjacent spiral angles are arranged in an unequal mode. According to the T-shaped groove milling cutter disclosed by the utility model, the adjacent helical angles are arranged unequally, so that the cutting force can be dispersed in time and space, the cutting force is prevented from being concentrated at a certain moment or a certain area, the service life of the cutter can be prolonged, and meanwhile, the machining vibration can be reduced, thereby being beneficial to improving the stability of cutting operation; and the machining quality of the T-shaped groove is ensured.

The invention relates to the field of machining, in particular to an angle head and main shaft connecting device with high connecting strength, comprising a power transmission module for transmitting main shaft power to an angle head; the pneumatic control module comprises a stator and a rotor which can rotate relatively, and a closed gas path is formed between the stator and the rotor through a sealing assembly, so that gas pressure is output in a rotating state; and the clamping module comprises a piston assembly controlled by air pressure, a transmission part and a clamping part, and axial movement of the piston assembly is converted into radial locking force of the clamping part through the transmission part. The gear bearing is axially positioned through the bearing baffle ring, so that an axial supporting reference is formed; the stator is fixedly connected with the protective cover, and the rotor is fixedly connected with the piston base and the output disc, so that a stable connecting frame is formed. The connection strength is greatly improved, the angle head self-weight inclination and the machining vibration are effectively eliminated, and the control precision of radial run-out is improved.

The invention relates to the technical field of power plant auxiliary equipment, in particular to a power plant auxiliary equipment vibration fault diagnosis method and system based on deep learning. Comprises: establishing a fault database of power plant auxiliary equipment; setting a fault diagnosis model and a plurality of equipment points based on the fault database, and acquiring a monitoring data packet of each monitoring point according to a preset acquisition time node; judging whether an early warning instruction is generated or not according to all the monitoring data packets and the fault diagnosis model; the method comprises the following steps of: performing structural analysis on the power plant auxiliary equipment, setting a plurality of equipment points, constructing an abnormal signal set of each equipment point by utilizing a deep learning technology, setting a corresponding processing sub-model and a global diagnosis model according to the abnormal signal set, and analyzing a time sequence association relationship among characteristic sub-signals in a single abnormal signal set to obtain a diagnosis result of the abnormal signal set. And the corresponding processing sub-model is constructed, so that the processing efficiency of the monitoring data of each equipment point and the screening efficiency of the fault signal are improved, and the fault diagnosis efficiency of the power plant auxiliary equipment is improved.

The utility model relates to a kind of power-off protection circuit applied to ironing machine, including main control module, main control module is connected with power module;Power module is equipped with protection circuit, protection circuit is connected in parallel in power input end;The input end of main control module is connected with dump switch, and the output end is connected with buzzer;If dump switch reverses, and reverse signal is transmitted to main control module, after main control module receives signal, control steam generator stops working;At the same time, main control module controls buzzer to issue alarm;The input end of main control module is connected with vibration sensor, and vibration sensor is used to monitor ironing machine vibration condition;When continuous vibration time reaches preset time threshold, main control module controls steam generator to stop working;At the same time, main control module controls buzzer to issue alarm.The utility model can realize the function of idle automatic power-off alarm and dump automatic power-off alarm, and can improve the use safety of product.