Structural optimization design of multi gear rocker box in shearer cutting section
Topology optimization is a kind of conceptual design. The optimization results are shown in the figure, which can not be […]
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Data preprocessing algorithm based on gearbox configuration
For variable speed rotating machinery such as fan, in the process of operation, various signals reflecting its operation information are
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Feature extraction of gear broken fault
Firstly, the vibration signal is resampled in the angular domain, and the input shaft speed curve (as shown in Figure
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Non Hertz contact model of multi-stage gear with three-dimensional topological modification considering box deformation
Three dimensional topological modification is an effective means to improve the transmission quality of gear system, which includes two directions
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Dynamic performance optimization of multistage gears in shearer cutting section
The ultimate goal of dynamic analysis is to design object products with high dynamic performance. The coupling dynamic model of
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Numbering method of degrees of freedom for multi-stage gear transmission box coupling dynamic model
The generalized displacements of substructure dynamic equations are numbered in local coordinates, and the generalized displacements of each substructure will
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Data compression algorithm based on gearbox configuration
The data compression algorithm based on the gearbox configuration is based on the physical structure of the gearbox and the
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VMD for solving variational problems in gear calculation of variable speed gearbox
By introducing the quadratic penalty factor α and Lagrange operator λ (T), the constrained variational problem is transformed into the
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Improved data preprocessing process of fan condition monitoring based on physical structure of gearbox
The improved data preprocessing process is a method to extract effective data by combining gearbox configuration with real-time data acquisition
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Variational modal decomposition of Gearbox Based on VMD-FastICA
VMD is an adaptive signal analysis method, which can find the optimal solution of the variational model through multiple iterations,
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Tooth direction error of multi-stage gear meshing in shearer cutting part
Under the influence of the elastic deformation of the supporting system, the axes of the parallel gears are skewed in
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Substructure set of multi stage gear box coupling dynamic model
According to the different coordination relationship of the interface of each substructure, the connection types between the corresponding nodes can
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Minimum entropy deconvolution of gearbox
Med is to eliminate the influence of transmission path by optimizing the filter. xn(n = 1，2，… , n) is the
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Fan condition monitoring system based on physical structure of gearbox
A centralized and unified monitoring center is proposed to complete the functions of real-time data acquisition and remote centralized control.
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Example and mathematical model of optimum design for minimum center distance of two stage spur gear
As shown in the figure, it is known that the input power P1 of the high-speed stage of the two-stage
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Data preprocessing of fan condition monitoring based on physical structure of gearbox
Condition monitoring of wind turbine can understand the health status of wind turbine in real time and reduce the maintenance
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Substructure decomposition of multi stage gear box coupling dynamic model
The cutting part is divided into rocker box, fixed shaft gear, gear shaft, cutting drum, planetary gear train and cutting
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Gear fault diagnosis of variable speed gearbox based on VMD order tracking
The hardware order tracking needs professional Keyphasor device, which has high cost, complex installation and large application scope; the order
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Example and mathematical model of optimum design for minimum center distance of two stage spur gear
As shown in the figure, it is known that the input power P1 of the high-speed stage of the two-stage
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Main parameters of multi-stage gear transmission box coupling dynamic model
The dynamic modeling method of multi-stage gear system under the condition of large deformation is studied. Taking the cutting part
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Constraint conditions of minimum center distance for two stage spur gears
① According to the contact fatigue strength formula of tooth surface, the The constraint conditions of tooth surface are obtained
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Research on vmd-fastica in gearbox fault diagnosis
In order to make up for the disadvantage that ICA can only be applied to the blind source separation problem
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Dynamic model of multistage gear transmission coupled with box
Dynamic substructure method is an effective method to analyze complex mechanical systems and structural systems. Although some scholars have used
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Mathematical model of minimum center distance of two stage spur gear
The transmission diagram of the reducer is shown in the figure, and the optimization design is carried out according to
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Gearbox fault diagnosis based on VMD-FastICA
In mechanical transmission equipment, gearbox plays an extremely important role, it is widely used in all walks of life. It
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Brief introduction of fimicon function of minimum center distance of two stage spur gear
Given the transmission power P, transmission ratio I and output speed n of the reducer, a set of technical parameters
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Analysis of load stroke curve in precision forming process of spur gear
The load stroke curves of the two processes are shown in the figure. It can be seen from the figure
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Analysis of model prediction results of fan gearbox under abnormal state based on LSTM network
The test set data is input into LSTM model to verify the effectiveness of model early warning. The prediction results
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Analysis of filling process in precision forming process of spur gear
The traditional and improved processes are used for experimental study. The typical deformation conditions of the blank during the deformation
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Analysis of model prediction results of fan gearbox under normal state based on LSTM network
Randomly select 25% of the training set data as the verification set, set the model loss value as Mae, and
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Parameter setting of numerical simulation for precision forming process of spur gear
In this paper, the first mock exam of the internal gear of a solid cylinder with no hub hub and
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Research on new precision forming process of spur gear
The traditional closed die forging of internal gear is shown in figure (a). In the process of pressing the blank
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Sliding window analysis of residual error prediction for fan gearbox model based on LSTM network
The LSTM model is trained by selecting the normal operation data of the unit. When the gearbox bearing is in
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Precision forming process of spur gear based on SolidWorks
With reliable transmission quality and efficiency, gears are widely used in mechanical field, especially in military industry, aerospace and other
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Maximum kurtosis spectrum entropy deconvolution method for gearbox
A new kurtosis spectral entropy index is proposed, which consists of kurtosis value and envelope spectral entropy. When there are
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Local particle swarm optimization algorithm for gearbox
Particle swarm optimization algorithm has good global optimization ability. Suppose there are m particles in the d-dimensional space, which form
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Experimental analysis of gearbox bearing based on Sanc and 1D-CNN
The figure is the confusion matrix corresponding to the method in this paper, through which the identification of each type
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J-integral theory of helical gear crack
Under the elastic-plastic condition, the J-integral of helical gear crack describes the stress and stress field at the crack front
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Calculation and analysis of stress intensity factor and J-integral of helical gear crack
Gear is of great significance to all kinds of mechanical equipment. Its performance may directly affect the service life and
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Experimental results and analysis of gearbox bearing based on Sanc and 1D-CNN
In order to verify the advantages and effectiveness of intelligent fault diagnosis of gearbox bearing based on Sanc and 1d-cnn,
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Parameter selection of gearbox bearing experiment based on Sanc
According to the working principle of Sanc, the separation effect of adaptive filter mainly depends on the selection of delay
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Experimental parameter selection of gearbox bearing based on 1D-CNN
The parameters of neural network mainly include: learning rate, cost function, activation function, number of learning rounds, batch size, network
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Gearbox Ferrography Image Detection Network and training
After the candidate region is generated, the ROI pooling layer is used to further extract the features of the candidate
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Experimental data of gearbox bearing based on Sanc and 1d-cnn
In order to verify the effectiveness of the proposed method, the experimental study is carried out on the zjs50 comprehensive
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Generating candidate regions for ferrography of gearbox
In order to generate accurate candidate regions, 512 feature maps are used as input of RPN (region proposal networks) and
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Automatic feature extraction of gearbox Ferrography Image
The deep learning algorithm is introduced into the field of Ferrography Image recognition. The wear status of gearbox is evaluated
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Gearbox bearing diagnosis based on Sanc and 1d-cnn
Combined with the signal separation ability of Sanc and the intelligent feature extraction and fault identification ability of 1d-cnn, this
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Gearbox bearing diagnosis based on Sanc and 1d-cnn
Combined with the signal separation ability of Sanc and the intelligent feature extraction and fault identification ability of 1d-cnn, this
Scientific
Classification of wear particles in gear box ferrography
During the operation of the equipment, when abnormal friction occurs on the relative moving metal surface, wear particles will be
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Minimum center distance of cylindrical gear reducer based on MATLAB
Gear reducer is a kind of closed mechanical transmission device. Its main function is to reduce the speed of input
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Experimental data analysis of symmetric differential energy operator demodulation method for planetary gearbox based on EEMD
According to the normal state and the fault state, the corresponding two groups of data in the experiment are taken
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Parameter optimization of fan gearbox model based on LSTM network
The data in normal working state is selected as the training set of the model, with a total of 12800
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Analysis of demodulation method for planetary gearbox based on EMD and symmetric differential energy operator
Symmetrical differential energy operator demodulation and energy operator demodulation are only applicable to single component AM / FM signals, while
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Experimental data acquisition of planetary gearbox based on EEMD symmetric differential energy spectrum
In this paper, the vibration data of the whole life cycle of the wear fault are obtained by testing the
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Wind prediction model of fan gearbox based on LSTM network
LSTM principle LSTM model is a special form of recurrent neural network (RNN), which can mine the relationship between the
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Simulation analysis of contact line VERICUT grinding of cylindrical gear
In order to further verify the correctness of the analysis on the influence of grinding wheel position deviation on the
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Simulation processing and analysis of planetary gearbox based on EEMD symmetrical difference energy spectrum
ZHY Gear adds three sinusoidal signals with different frequencies, and adds random signals for simulation analysis. The EMD method combined
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Operation data processing of fan gearbox fan based on LSTM network
Data preprocessing The data comes from the unit operation data recorded by SCADA system of a wind farm in Northwest
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Bearing fault diagnosis of fan gearbox based on LSTM network
As an important part of wind turbine, gearbox is mainly composed of gear, rolling bearing and other parts. The common
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Bifurcation characteristics of two stage planetary gear system varying with excitation frequency
The input torque tin = 1 000 n · m, the output torque tout = – 100 N · M.