The improved data preprocessing process is a method to extract effective data by combining gearbox configuration with real-time data acquisition […]
VMD is an adaptive signal analysis method, which can find the optimal solution of the variational model through multiple iterations,
Under the influence of the elastic deformation of the supporting system, the axes of the parallel gears are skewed in
According to the different coordination relationship of the interface of each substructure, the connection types between the corresponding nodes can
Med is to eliminate the influence of transmission path by optimizing the filter. xn(n = 1，2，… , n) is the
A centralized and unified monitoring center is proposed to complete the functions of real-time data acquisition and remote centralized control.
As shown in the figure, it is known that the input power P1 of the high-speed stage of the two-stage
Condition monitoring of wind turbine can understand the health status of wind turbine in real time and reduce the maintenance
The cutting part is divided into rocker box, fixed shaft gear, gear shaft, cutting drum, planetary gear train and cutting
The hardware order tracking needs professional Keyphasor device, which has high cost, complex installation and large application scope; the order
As shown in the figure, it is known that the input power P1 of the high-speed stage of the two-stage
The dynamic modeling method of multi-stage gear system under the condition of large deformation is studied. Taking the cutting part
① According to the contact fatigue strength formula of tooth surface, the The constraint conditions of tooth surface are obtained
In order to make up for the disadvantage that ICA can only be applied to the blind source separation problem
Dynamic substructure method is an effective method to analyze complex mechanical systems and structural systems. Although some scholars have used
The transmission diagram of the reducer is shown in the figure, and the optimization design is carried out according to
In mechanical transmission equipment, gearbox plays an extremely important role, it is widely used in all walks of life. It
Given the transmission power P, transmission ratio I and output speed n of the reducer, a set of technical parameters
The load stroke curves of the two processes are shown in the figure. It can be seen from the figure
The test set data is input into LSTM model to verify the effectiveness of model early warning. The prediction results
The traditional and improved processes are used for experimental study. The typical deformation conditions of the blank during the deformation
Randomly select 25% of the training set data as the verification set, set the model loss value as Mae, and
In this paper, the first mock exam of the internal gear of a solid cylinder with no hub hub and
The traditional closed die forging of internal gear is shown in figure (a). In the process of pressing the blank
The LSTM model is trained by selecting the normal operation data of the unit. When the gearbox bearing is in
With reliable transmission quality and efficiency, gears are widely used in mechanical field, especially in military industry, aerospace and other
A new kurtosis spectral entropy index is proposed, which consists of kurtosis value and envelope spectral entropy. When there are
Particle swarm optimization algorithm has good global optimization ability. Suppose there are m particles in the d-dimensional space, which form
The figure is the confusion matrix corresponding to the method in this paper, through which the identification of each type
Under the elastic-plastic condition, the J-integral of helical gear crack describes the stress and stress field at the crack front
Gear is of great significance to all kinds of mechanical equipment. Its performance may directly affect the service life and
In order to verify the advantages and effectiveness of intelligent fault diagnosis of gearbox bearing based on Sanc and 1d-cnn,
According to the working principle of Sanc, the separation effect of adaptive filter mainly depends on the selection of delay
The parameters of neural network mainly include: learning rate, cost function, activation function, number of learning rounds, batch size, network
After the candidate region is generated, the ROI pooling layer is used to further extract the features of the candidate
In order to verify the effectiveness of the proposed method, the experimental study is carried out on the zjs50 comprehensive
In order to generate accurate candidate regions, 512 feature maps are used as input of RPN (region proposal networks) and
The deep learning algorithm is introduced into the field of Ferrography Image recognition. The wear status of gearbox is evaluated
Combined with the signal separation ability of Sanc and the intelligent feature extraction and fault identification ability of 1d-cnn, this
Combined with the signal separation ability of Sanc and the intelligent feature extraction and fault identification ability of 1d-cnn, this
During the operation of the equipment, when abnormal friction occurs on the relative moving metal surface, wear particles will be
Gear reducer is a kind of closed mechanical transmission device. Its main function is to reduce the speed of input
According to the normal state and the fault state, the corresponding two groups of data in the experiment are taken
The data in normal working state is selected as the training set of the model, with a total of 12800
Symmetrical differential energy operator demodulation and energy operator demodulation are only applicable to single component AM / FM signals, while
In this paper, the vibration data of the whole life cycle of the wear fault are obtained by testing the
LSTM principle LSTM model is a special form of recurrent neural network (RNN), which can mine the relationship between the
In order to further verify the correctness of the analysis on the influence of grinding wheel position deviation on the
ZHY Gear adds three sinusoidal signals with different frequencies, and adds random signals for simulation analysis. The EMD method combined
Data preprocessing The data comes from the unit operation data recorded by SCADA system of a wind farm in Northwest
As an important part of wind turbine, gearbox is mainly composed of gear, rolling bearing and other parts. The common
The input torque tin = 1 000 n · m, the output torque tout = – 100 N · M.
1.EEMD principle In order to solve the mode aliasing phenomenon of IMF in the process of empirical mode decomposition (EMD),
In the study of multi degree of freedom system, the influence of viscous damping should be considered. The differential equation
Analysis of upsetting forming of mechanical gear The equivalent stress of initial cylindrical blank upsetting forming of mechanical gear is
In order to verify the superiority of this method in engineering application, relevant tests are carried out on the closed
The coupling of mild wear fault data produces a 1.5-dimensional envelope spectrum, as shown in Figure 1. It can be
When multiple faults coexist, different fault features need to be decomposed into different intrinsic mode functions. Therefore, EEMD is needed
In the whole life cycle experiment of planetary gear box, ZHY gear selects three groups of data of different time
In the process of tractor gear transmission, the transmission load is large, the running speed is low, and the transmission
