1188 results about "Motor vibration" patented technology

The invention relates to the technical field of parameter control, and discloses a vibrating screen parameter self-adaptive control method and system based on machine learning. The method comprises the following steps: collecting coal characteristic parameters through an image device and a sensor; calculating a load coefficient and a difficulty index according to the parameters, and adjusting the parameters of the dual-motor vibration exciter to control vibration; the spring pre-tightening force and the screen surface inclination angle are adjusted according to vibration feedback, and the screening track is optimized; and the feeding speed and the baffle height are adjusted based on screening efficiency data, and self-adaptive control is achieved. The technical problems that traditional vibrating screen fixed parameter control cannot adapt to multi-coal-type changes, a vibrating screen control system lacks coal material characteristic real-time sensing and analyzing capacity, and a precise mapping and dynamic optimization mechanism is lacked between vibrating parameters and screening efficiency are solved.

The embodiment of the invention provides a motor fault detection method, system and device and a storage medium, and belongs to the technical field of motor detection. The motor fault detection method comprises the steps of obtaining a motor vibration signal; calculating a kurtosis value of the motor vibration signal according to the motor vibration signal; based on the kurtosis value of the motor vibration signal, performing variational mode decomposition on the motor vibration signal to obtain a plurality of target vibration signal components; and performing signal processing on the target vibration signal component according to a preset signal processing strategy to obtain a fault characteristic frequency. According to the embodiment of the invention, the variational mode decomposition and the signal processing are carried out on the obtained motor vibration signal, so that the noise of the motor vibration signal is eliminated, the fault frequency characteristics are extracted, and the efficiency and the accuracy of motor fault detection are improved.

The invention discloses a three-phase asynchronous motor fault diagnosis method. The method comprises the following steps: 1, collecting a vibration signal and a current signal of a three-phase asynchronous motor; 2, the noisy signal is processed, noise and redundant signals are removed, then a fault characteristic signal is obtained, and the fault characteristic signal comprises a vibration characteristic signal and a current characteristic signal; 3, converting the obtained vibration characteristic signal and the current characteristic signal into a GADF data image; 4, according to a certain weight ratio, performing image fusion on the GADF data images obtained after conversion of the vibration characteristic signals and the current characteristic signals to obtain GADF data containing fault characteristics; and 5, constructing a fault diagnosis neural network model with an attention mechanism, and diagnosing the fault of the three-phase asynchronous motor by using the vibration signal and the current signal. The invention further provides a three-phase asynchronous motor fault diagnosis device. Compared with the prior art, the accuracy of motor fault diagnosis can be improved.

The utility model discloses an electric control braking system which comprises a motor assembly, a transmission mechanism assembly, a piston assembly and a pressure buildup cylinder, the motor assembly is connected with the piston assembly through the transmission mechanism assembly, and the piston assembly and the transmission mechanism assembly are located in the pressure buildup cylinder. The motor assembly is movably connected with one end of the transmission mechanism assembly through a spherical structure or a spherical pair; when the coaxiality error is large after the motor and the pressure cylinder are assembled, the coaxiality of the piston and the pressure cylinder in the movement process can be adjusted, the radial force and movement friction of the piston and the pressure cylinder can be reduced, the influence of motor vibration on a transmission mechanism can be reduced, the transmission efficiency can be improved, and noise can be reduced.

The invention relates to the technical field of motor regulation and control, in particular to a dust collector motor vibration noise reduction method and system, and the method comprises the steps: obtaining a sinusoidal modulation electric signal generated by a sinusoidal pulse width modulation frequency converter, and carrying out the harmonic filtering of the sinusoidal modulation electric signal, and obtaining a higher harmonic; calculating harmonic interference magnetomotive force according to the higher harmonics, multiplying the harmonic interference magnetomotive force by the air gap magnetic conductance to obtain radial magnetic flux density, and calculating radial electromagnetic force waves; performing feature extraction operation on the radial electromagnetic force wave to obtain a feature set, performing principal component analysis operation based on vibration intensity to obtain a radial vibration principal component feature set, and performing noise principal component harmonic extraction operation on the higher harmonic according to the radial vibration principal component feature set to obtain a noise harmonic; and performing noise reduction calculation on the sinusoidal modulation electric signal according to the noise harmonic wave to obtain a noise reduction modulation electric signal, and performing power control on the motor. The vibration noise of the dust collector motor can be reduced.

The invention discloses a low-vibration permanent magnet motor for harmonic directional suppression rotor modification and a design method thereof. The structure and size of the permanent magnet motor are determined; analyzing the electromagnetic performance of the motor, and determining the harmonic order and phase of the radial permanent magnetic flux density; analyzing the vibration characteristics of the motor, and determining the main vibration frequency of the motor and the radial force order of dominant vibration so as to determine the order of the radial permanent magnetic flux density needing to be reduced; analyzing the relationship between the air gap magnetic conductance and the magnetic flux density, and determining the order and phase to which the air gap magnetic conductance needs to be added according to the distribution of the radial permanent magnet magnetic flux density to be reduced; a compensation function is established by adding air gap magnetic conductance which is opposite to the radial permanent magnetic flux density needing to be reduced, and the shaping position and shape are determined according to the period and shape of the compensation function; and considering the torque performance and stress of the motor, and determining the shaping depth. By adopting the method provided by the invention, the specific radial permanent magnetic flux density harmonic wave can be directly reduced, the vibration response can be effectively inhibited, and the torque performance of the motor can be ensured to be unchanged.

The invention provides a vibration control method and electronic equipment, and relates to the technical field of terminals. The motor vibration parameter can be obtained by integrating the use state and the electric quantity information of the electronic equipment, self-adaptive adjustment of the vibration parameter is achieved, and the use experience of a user is improved. The method is applied to the folding screen electronic equipment and comprises the following steps: acquiring a use state of the electronic equipment; acquiring electric quantity information of the electronic equipment; and acquiring vibration parameters according to the use state and the electric quantity information. And driving the motor to vibrate according to the vibration parameters.

The invention provides a motor multi-band vibration suppression method and a motor multi-band vibration suppression device based on electromagnetic-mechanical cooperative regulation and control. According to the method, vibration signals are collected in real time, and spectral analysis is carried out to identify vibration frequency distribution; dividing the vibration signal into a low-frequency band, a middle-frequency band and a high-frequency band according to a spectral analysis result, and respectively corresponding to a mechanical vibration source, an electromagnetic excitation source and a structural noise source; a control strategy is dynamically selected based on a vibration frequency band, a low-frequency band triggers a mechanical regulation and control module to output a reverse force to perform vibration suppression, a middle-frequency band triggers an electromagnetic control module to optimize a current waveform and a PWM modulation mode, and a high-frequency band starts a cooperative control strategy of the electromagnetic and mechanical control module; through real-time communication between the controller and each module, vibration feedback signals are continuously monitored, and control parameters are dynamically adjusted according to working condition changes so as to maintain the vibration suppression effect. According to the invention, through cooperative adjustment of electromagnetic control and a mechanical structure, active suppression of vibration of the motor in multiple frequency bands is realized.

The invention relates to the field of data processing, in particular to a motor performance detection method and system based on data analysis. The method comprises the steps that potential fault signals in motor vibration signals are separated, a plurality of windows are arranged, the potential fault signals are segmented to obtain segment signals, the segment signals are clustered to obtain a plurality of clustering clusters, and the clustering method comprises the steps that feature vectors of all the segment signals are constructed, the distance between the feature vectors is calculated, and the distance between the feature vectors is calculated; the dimension of the feature vector comprises periodic intensity and frequency band similarity, according to the feature vector, clustering is carried out by using a clustering algorithm to obtain a plurality of clusters, and the clusters comprise an interference signal cluster and / or a plurality of fault clusters. According to the invention, the influence of the interference signal on the fault detection accuracy can be reduced.

The invention provides a driving motor vibration isolation device and a control strategy. The driving motor vibration isolation device comprises an upper liquid chamber and a lower liquid chamber which are arranged on a vehicle body and located below a driving motor, and a supporting partition plate for separating the upper liquid chamber from the lower liquid chamber is arranged between the upper liquid chamber and the lower liquid chamber; the device is characterized in that at least one adjusting valve communicated with the upper liquid chamber and the lower liquid chamber is arranged on the supporting partition plate; the adjusting valve comprises at least two channels with different cross section areas, and a valve body of the adjusting valve is driven by a valve driving mechanism so that the adjusting valve can be switched to different channels. And the valve driving mechanism and the driving motor are electrically connected with the controller. The problem of low-frequency vibration isolation of a drive motor suspension system is effectively solved, the requirements for supporting and vibration amplitude suppression of the motor under the large torque force are considered, the vibration isolation performance of the motor under various working conditions is met, and meanwhile the reliability is obviously superior to that of a current rubber suspension.

The invention relates to the technical field of concrete test piece forming, in particular to a concrete test piece forming vibrating device which comprises a base, a top plate, a vibrating plate, a vibrating motor, a damping spring, a fixing assembly, a moving assembly, a power supply module, a protective shell and the like. A top plate is connected to the base, a vibrating plate is slidably connected to the middle of the base, at least four damping springs are connected to the bottom of the vibrating plate in the circumferential direction, the damping springs are fixedly connected with the base, a vibrating motor is installed at the bottom of the vibrating plate, a fixing assembly is connected to the vibrating plate, and a moving assembly is connected to the top plate. The moving assembly is connected with a power supply module and a protective shell. The connecting block, the sliding sleeve, the spiral spring and the baffle are arranged, the baffle can prevent concrete in the test piece mold from overflowing, subsequent repairing work is reduced, the spiral spring can enable the baffle to automatically adjust the position according to needs, and effective covering on the surface of the concrete is maintained.

The invention discloses a real-time signal processing early warning method, and relates to the technical field of adaptive signal processing, and the early warning method specifically comprises the following steps: installing a vibration sensor at a bearing pedestal and a housing of a motor, and ensuring that the x direction of the sensor is aligned with the operation direction of equipment; then the driver is calibrated to ensure the accuracy of subsequent data acquisition; the method comprises the following steps: setting acquisition interval time in data acquisition as 5-10S, and performing normalization preprocessing on data acquired by a vibration sensor, and has the advantages that time domain and frequency domain analysis is performed on a vibration signal, a time domain signal is converted into a frequency domain signal by using fast Fourier transform (FFT), and the amplitude of each frequency point is calculated, so that the accuracy of the data acquisition is improved, and the accuracy of the data acquisition is improved. The fusion processing mode can provide deeper understanding of motor vibration characteristics, effectively reveals energy distribution of signals on different frequency components, and is helpful for identifying potential faults or abnormal conditions.

A vibration sounding device includes a housing, a sounding unit, and a motor vibration system. The motor vibration system includes a vibration unit and elastic components, and the vibration unit includes coils. The sounding unit includes a frame, a vibration system, a magnetic circuit system, and a front cover. The vibration system includes a first vibration system and a second vibration system. The first vibration system surrounds the second vibration system and is coaxially disposed with the second vibration system. The first vibration system includes a first vibrating diaphragm and a first voice coil. The second vibration system includes a second vibrating diaphragm and a second voice coil. The magnetic circuit system is fixed to the housing. The magnetic circuit system includes a first magnetic gap and a second magnetic gap. The vibration sounding device is small in overall thickness and in size, and excellent in acoustic performance.

The invention discloses an escalator fault prediction system and method based on a vibration algorithm. The escalator fault prediction system comprises a data acquisition module, a cloud server and a monitoring center, the data acquisition module comprises a motor vibration sensor, a speed reducer vibration sensor, a main machine base vibration sensor, an oil temperature sensor, a main drive vibration sensor and a handrail belt temperature sensor, wherein the motor vibration sensor, the speed reducer vibration sensor, the main machine base vibration sensor and the oil temperature sensor are installed on an escalator main machine; the main drive vibration sensor is installed on a chain wheel on the upper portion of an escalator; the step chain extension position sensor and the step chain wheel vibration sensor are arranged on a chain wheel at the lower part of the escalator; the sensors are respectively connected with a signal input end of a data processing module of the cloud server through the Ethernet, a signal output end of the data processing module is connected with an intelligent diagnosis module, and the intelligent diagnosis module of the cloud server is connected with a visual display module of a monitoring center through 485 communication. According to the invention, comprehensive monitoring and accurate diagnosis of the key transmission part of the escalator can be realized.

The invention discloses a non-linear vibration detection device for a high-speed rotating viscoelastic plate, and belongs to the field of detection equipment, the non-linear vibration detection device comprises a supporting seat, an anti-vibration pad is fixedly connected to the outer surface of the upper end of the supporting seat, a supporting plate is fixedly connected to the outer surface of the upper end of the anti-vibration pad, and a control component is arranged on the upper side of the supporting seat. The control component comprises a connecting plate fixedly connected with the inner surface of the supporting plate, an adjusting rod is in threaded connection with the middle of the outer surface of the connecting plate, and a through groove is formed in the upper side of the outer surface of the adjusting rod. By arranging the control component, enabling the viscoelastic plate to rotate at the same speed and detecting and analyzing the nonlinear vibration parameters of the viscoelastic plate, an experimenter can conveniently carry out a control experiment, so that the influence of motor vibration on the vibration parameters of the viscoelastic plate can be better analyzed; and the vibration characteristics of the viscoelastic plate can be further compared, analyzed and researched, so that the detection error can be reduced to a certain extent.

The utility model discloses a motor, a compressor and refrigeration equipment, the motor comprises a stator, the stator comprises a stator iron core and a winding, the stator iron core is provided with a plurality of stator teeth, the winding is wound on the stator teeth, and a stator slot is defined between two adjacent stator teeth; the rotor is arranged in an inner cavity of the stator, the rotor comprises a rotor iron core and magnets, the rotor iron core is provided with a plurality of installation grooves, the installation grooves are arranged at intervals in the circumferential direction of the rotor iron core, the magnets are suitable for being installed in the installation grooves, the number of stator grooves is Q, the number of poles of the rotor is 2p, the phase number of the winding is m, the outer diameter of the stator is D1, the inner diameter of the stator is D2, and GCD (Q, G, D) is smaller than Q; 2p) is the largest common divisor of the number of the stator slots and the number of the poles of the rotor and satisfies Q / (2pm) lt; 1, 11.2 < = (D2 / D1) (GCD (Q, 2p)) 2 < = 16.5. According to the motor provided by the embodiment of the utility model, the power density of the motor can be improved and the vibration noise of the motor can be reduced by limiting the largest common divisor of the stator slots and the rotor poles and the inner and outer diameters of the stator.

The invention discloses a ducted fan structure and aims to provide a ducted fan structure beneficial to noise reduction, the ducted fan structure comprises a motor base and an annular outer cover, the motor base is located in the outer cover and located in the center of the bottom of the outer cover, a motor and a plurality of guide vanes are arranged on the motor base, one end of the motor is detachably connected with the motor base, and the other end of the motor is detachably connected with the guide vanes. The other end of the motor is an output end and is provided with a fan, the fan is located in the top of the outer cover and detachably connected with the output end of the motor, the multiple guide blades are evenly distributed in the circumferential direction of the motor base, the motor base is detachably connected with the inner side wall of the outer cover through the guide blades, the outer cover is provided with multiple hanging lugs, and the hanging lugs are fixedly connected with the outer side wall of the outer cover. The plurality of hanging lugs form a rectangular force unloading area corresponding to the motor, the left-right width of the force unloading area is larger than the diameter of the motor, and the up-down height of the force unloading area is larger than the height of the motor. The beneficial effects of the invention are that the motor vibration is reduced, and the purpose of reducing noise is achieved.

The invention relates to the technical field of bearing measurement, and discloses a multifunctional measuring instrument for comprehensive precision of a rolling bearing. The driving device is mounted on the working platform and comprises a load block capable of axially moving and a motor assembly for driving the load block to rotate; the measuring device comprises a high-precision inductance measuring head for detecting the runout of the bearing to be measured and a pressure sensor for monitoring an axial load; the fixing device is a replaceable mandrel base and is used for supporting an inner ring or an outer ring of the bearing to be detected; wherein the driving device applies an axial load to an inner ring or an outer ring of a to-be-measured bearing through the load block and drives the to-be-measured bearing to rotate, the measuring device synchronously collects bounce and load data of the to-be-measured bearing, the brushless motor and the load block are connected through the magnetic coupling, and the centering error of the mechanical coupling is eliminated. Meanwhile, motor vibration is prevented from being transmitted to the to-be-tested bearing, the pushing force air floating shaft sleeve actively counteracts the magnetic attraction force, and the stability of the load applied to the to-be-tested bearing is remarkably improved.

The utility model discloses a mud egg wrapping device for making preserved eggs, which comprises a base and a connecting mechanism arranged in the base, and the connecting mechanism comprises an egg feeding component, a mud feeding component and a scrap wrapping component; the egg feeding assembly comprises a rotating belt and a conveying motor, the mud feeding assembly comprises an egg fishing motor, an egg fishing shaft, an egg fishing rod, an egg feeding plate, a discharging plate and a material mud containing groove, and the sawdust wrapping assembly comprises a vibration motor, a vibration disc and a sawdust feeding hopper. When the device works, duck eggs fall into the material mud placing groove to be fully wrapped, the duck eggs are taken out by the egg fishing rod to roll towards the vibration disc, the duck eggs are covered with saw dust in the vibration disc, the saw dust feeding hopper is filled with the saw dust, the saw dust is scattered into the vibration disc, the preserved eggs can be covered with the saw dust up and down at the same time, and the saw dust covering is more sufficient. Under the influence of gravity, the wrapped duck eggs roll towards the material collecting box to be collected, and in the rolling process, redundant saw dust falls into the saw dust recycling box through the recycling net to be recycled.

The invention relates to a vibration signal detection system for motor state diagnosis and a method thereof, the system comprises a piezoelectric acceleration sensor, a charge transfer module, a range selection module, an amplification module, an oscilloscope acquisition module and a data analysis module which are connected in sequence, and the piezoelectric acceleration sensor is used for acquiring charges generated by vibration; the charge transfer module is used for determining charge change in the vibration process; the range selection module is used for adjusting the gain of the amplification module; the amplification module is used for amplifying the charge change signal; the oscilloscope acquisition module is used for acquiring the amplified charge change signal; and the data analysis module performs fast Fourier transform and frequency sweep sampling calculation processing on the signals acquired by the oscilloscope acquisition module to obtain a vibration frequency value. Compared with the prior art, the method detects the dynamic process of vibration, is rich in perceivable characteristic parameters, effectively improves the measurement precision of motor vibration signals, and is suitable for motor state diagnosis application based on technologies such as deep learning.

The invention discloses an intelligent power regulation system and method for a power distribution cabinet, and relates to the technical field of power regulation of the power distribution cabinet, and the method comprises the steps that a multi-source sensing unit carries out the early warning of harmonic overrun and local overheating risks in advance according to the collected three-phase current, three-phase voltage and harmonic components, and a temperature distribution matrix and external data generated by a thermal infrared imager; the edge prediction unit operates the LSTM-CNN-GRU hybrid neural network model to generate a future load prediction value, and stabilizes the voltage in advance; and the impedance self-adaptive execution unit enables the vibration value of the motor to be within a safety threshold value through the capacitor bank with the reconfigurable topology, the threshold value trigger type active filter and the tap switch controller according to the received optimization instruction.

The invention provides a motor vibration noise control method and system based on modal resonance frequency prediction, and belongs to the field of motor control. The method comprises the following steps: acquiring each order of intrinsic mode frequency of the permanent magnet motor; a cost function parameter, a current constraint condition and a control target are set, and a model prediction control method is adopted to drive an inverter to operate, specifically, the current operation state quantity of the permanent magnet motor is collected; predicting a state response in a future finite time domain based on the operation state quantity; constructing a value function, and evaluating and optimizing a state change result; and selecting an optimal voltage vector, generating a pulse signal to drive an inverter to execute, obtaining a motor high-frequency electromagnetic force wave distribution condition, comparing the motor high-frequency electromagnetic force wave distribution condition with the intrinsic mode frequency of the permanent magnet motor, and optimizing an optimal voltage vector selection logic. The problems that harmonic waves are concentrated and resonance is easily caused by a fixed switching frequency modulation method in the prior art, and a passive suppression method is high in cost and poor in flexibility are solved.

The invention provides a motor fault diagnosis method for unbalanced data in a noise environment based on a dual-scale network, and the method comprises the steps: collecting acceleration signals of motor vibration in a normal state and a fault state, and constructing a data set; building a fault diagnosis model based on a dual-scale network, wherein the fault diagnosis model comprises a wide convolution kernel 1D convolution module, an attention-based dual-scale module, a convolution-based feature fusion module, an attention 2D convolution layer and a classification module which are connected in sequence; based on the data set, using a category weighted loss function to train a fault diagnosis model based on a dual-scale network to obtain a trained fault diagnosis model; and inputting a motor vibration signal acquired in real time into the trained fault diagnosis model for fault diagnosis to obtain a fault type. According to the method, the influence of noise interference and uneven data on the neural network model is weakened by mining deep fault features and endowing different weights to the loss function.

The embodiment of the invention relates to the technical field of pipe testing, and discloses a pipe oxidation resistance testing system which comprises an oxidation resistance testing device. The oxidation resistance testing device comprises a first box body, a second box body, a water pump device and a testing assembly, the water pump device is arranged in the first box body, the testing assembly is arranged in the second box body, and the first box body and the second box body are arranged in a split mode. The testing assembly comprises a liquid storage tank, a heat preservation unit and a sample tube testing unit, the heat preservation unit is used for conducting heat preservation on the sample tube testing unit, and the sample tube testing unit comprises a connecting pipeline and testing clamps arranged at all testing points on the connecting pipeline; the test fixture is used for clamping the corresponding sample test tube and enabling the sample test tube to be communicated with the connecting pipeline. The test system provided by the embodiment of the invention adopts a module combination box type damping design, and is simple in overall structure, high in integration level and small in single occupied area. The split type design can effectively avoid the influence of motor vibration on the service life of the pipe in the testing process.

The invention discloses a high-speed dragging device and method applied to a permanent magnet synchronous servo motor vibration test, and relates to the technical field of motor vibration tests. The motor testing device comprises a testing platform arranged on a testing box and a motor to be tested, a driving roller is arranged at the driving end of the motor to be tested, and the motor testing device further comprises a positioning testing unit which comprises a positioning assembly and a testing assembly; and the dragging load unit comprises a loading assembly, a damping assembly and an accelerating assembly. The device has the advantages that the vibration speed test and the overall displacement vibration test of the driving end of the to-be-tested motor can be synchronously carried out, the flexible adjustment of the load capacity can be realized in a non-stop dragging state, the test efficiency can be improved, the test sample data can be increased, the precision of the test result is improved, and the test cost is reduced. And meanwhile, effective damping can be carried out when the load is adjusted, vibration is prevented from being transmitted to the motor to be tested to influence the accuracy of a test result, and the test precision is higher.

The invention provides a motor vibration detection method and device, a storage medium and computer equipment, and the method comprises the steps: segmenting a motor object in each frame of image in a to-be-detected video through employing a video segmentation model, and obtaining a motor image set formed by motor images corresponding to each frame of image, therefore, interference except the motor object in the image can be eliminated, and the precision of motor vibration detection is improved. Then, after feature point extraction is carried out on each motor image, a point pair set is determined according to the multiple feature points of the adjacent motor images, then the similarity of each pair of points in the point pair set is calculated, N pair points with the highest similarity are selected for probability distribution modeling, and therefore the pair points with high quality and high matching degree can be screened out; therefore, the accuracy of the obtained discrete Gaussian distribution sequence is improved, finally, vibration characteristic extraction and mapping can be performed on the Gaussian distribution sequence to obtain the vibration frequency and the vibration amplitude, and the precision of motor vibration detection is further improved.

The invention discloses a CNN-LSTM-based motor torque ripple suppression method. The method comprises the following steps: S1, establishing a mathematical model of a permanent magnet synchronous motor; s2, establishing an inverter model considering an inverter dead zone and tube voltage drop; s3, establishing a harmonic compensation voltage prediction model based on CNN-LSTM to optimize a DQ-axis stator voltage, reduce current harmonics and suppress motor vibration and torque fluctuation; and S4, the harmonic compensation voltage prediction model based on CNN-LSTM in the step S3 is embedded into a motor control system, and torque fluctuation of the motor is suppressed. According to the invention, the stator voltage of the DQ shaft is effectively optimized, fifth and seventh current harmonics which have great influence on the torque ripple are reduced, the torque ripple is suppressed, control parameters are reduced, the response speed of the system is improved, and the suppression effect of the motor on the torque ripple at a high rotating speed is enhanced.

The invention relates to the technical field of motor diagnosis, and discloses a motor fault diagnosis method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining motor vibration noise big data; correlation analysis is carried out on the vibration noise big data, and parameters causing motor vibration noise faults and parameters of qualified motor vibration noise are screened out; obtaining a vibration noise data set containing the fault data set and the qualified data set; training a preset AI model based on the vibration noise data set to obtain an AI vibration noise diagnosis model; and acquiring a real-time vibration noise data set of the motor, and performing motor vibration noise fault diagnosis based on the real-time vibration noise data set and the AI vibration noise diagnosis model, so that a root cause of the motor vibration noise fault and a method for solving the problem can be directly given.

The utility model belongs to the technical field of vibrating screens, and particularly relates to a vibrating screen for plastic additive master batch processing, which comprises a screen frame with an upper opening and a lower opening, a screen mesh arranged at the bottom of the screen frame, a speed reduction component arranged in the screen frame and matched with the screen mesh, a screen drum arranged at the bottom of the screen frame, and a conical plate arranged on the inner side of the bottom of the screen drum. A vibrating frame is arranged at the bottom of the screen drum, a vibrating motor is arranged on the vibrating frame, a plurality of springs are arranged at the bottom of the vibrating frame, a support is arranged at the bottom end of each spring, and a base is arranged at the bottom end of each support. A first output channel connected with the interior is arranged on one side of the screen frame, and a second output channel connected with the interior is arranged on one side of the screen drum. Compared with the prior art, the vibrating screen has the advantages that the speed reducing assembly is arranged, under the condition that high-frequency output of the vibrating motor is guaranteed, the speed of materials diffusing from the center to the periphery is greatly reduced, the screening time of the materials is prolonged, and therefore the screening precision is improved.

The invention discloses a unipolar motor based on magnetic pole modulation and harmonic slot collaborative optimization, which comprises a unipolar rotor punching sheet, the peripheral surface of the unipolar rotor punching sheet is provided with alternate first magnetic poles and second magnetic poles, the polarities of the first magnetic poles and the second magnetic poles are opposite, the periphery of the first magnetic poles is provided with a first arc, and the periphery of the second magnetic poles is provided with a second arc. The periphery of the first magnetic pole is provided with a first arc, the periphery of the second magnetic pole is provided with a second arc, the first arc and the second arc are concentrically arranged relative to the center of the unipolar rotor punching sheet, and the radius of the first magnetic pole is greater than that of the second magnetic pole, so that the air gap magnetic resistance is increased and the motor efficiency is ensured under the condition that the effective area of the air gap magnetic flux is not obviously changed; the amplitude of each order harmonic electromagnetic radial force caused by a rotor magnetic field is reduced, and the purpose of reducing the vibration noise of the motor is achieved. The motor has wide application prospects in the fields of new energy automobiles, aerospace, numerical control machine tools and the like, and the comfort and high-end quality of products can be effectively improved.