Assembly process of pinion shaft
Introduction The G321 gearbox is used for the assembly of the bullet train. The schematic diagram of the gearbox structure […]
Introduction The G321 gearbox is used for the assembly of the bullet train. The schematic diagram of the gearbox structure […]
Gearbox noise reduction is a critical aspect of engineering for many applications, especially when using helical gears. Helical gears are
Spiral bevel gearboxes are complex mechanical systems that consist of various components working together to transmit power at non-parallel shaft
Helical gearboxes are essential components in industrial machinery, providing speed reduction, torque multiplication, and directional changes in power transmission systems.
Hypoid gears have indeed emerged as a game-changer in gearbox design, offering several advantages over traditional gear types. Here are
Based on the objective of reducing vibration and noise of helical gears, taking the helical gear pair of a reduction
The efficiency change curve of the sample gearbox under different working environment parameters is drawn by using Matlab software. The
The total efficiency of the gearbox is not only related to its design parameters, but also to its different working
1. Setting of working environment parameters of gearbox In order to obtain the influence of different design parameters of the
The wind resistance loss is the energy loss caused by the rotation of the pinion and the big gear in
The oil mixing loss of the gearbox mainly comes from the friction loss between the lubricating oil and the internal
At present, most of the cars produced and sold on the market are traditional fuel vehicles. Fuel cars bring many
Only on the basis of understanding and mastering the mechanism of transmission noise of electric vehicle reduction gearbox and helical
At present, most agricultural tractors in China use mechanical gear transmissions, which use meshing sleeves or synchronizers to shift gears.
The power loss of the gearbox mainly includes oil stirring loss, wind resistance loss, gear meshing loss and bearing loss.
Planetary gearbox is mainly composed of central shaft, planetary gear and sun gear. In the gearbox fault, the probability of
As a device that can effectively change the speed and transfer power, gearbox is widely used in various types of
The vibration signal of gearbox can directly reflect its operation status, so the gearbox fault diagnosis based on vibration signal
Due to the requirements of structure and economy, the planetary carrier must be designed with the structure of thin left
In the early stage of new product development, there must be sufficient simulation analysis and calculation and a large number
The main components of planetary transmission include sun gear, planetary gear, ring gear, planetary carrier, pin shaft and bearing, which
Asteroid gear has compact structure and high reliability. It is usually used for reducing transmission in industrial fields (rotary, walking,
The LSTM network model is established by selecting appropriate parameters to predict the oil temperature of gearbox. In order to
As a new machine learning method, deep learning method has been widely used in image processing, speech recognition, brain computer
In order to verify the effectiveness of the proposed method in planetary gearbox fault diagnosis, a planetary gearbox fault simulation
The input of multi-channel signal can collect fault feature information more comprehensively, and CNN has achieved great success in the
Take the detection of high-speed shaft gear as an example. The sensor data of high-speed shaft bearing position is taken
It is tested and verified on a 1.5 MW wind turbine in a wind farm. The gearbox of the fan
For variable speed rotating machinery such as fan, in the process of operation, various signals reflecting its operation information are
The data compression algorithm based on the gearbox configuration is based on the physical structure of the gearbox and the
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,
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.
Condition monitoring of wind turbine can understand the health status of wind turbine in real time and reduce the maintenance
The hardware order tracking needs professional Keyphasor device, which has high cost, complex installation and large application scope; the order
In order to make up for the disadvantage that ICA can only be applied to the blind source separation problem
In mechanical transmission equipment, gearbox plays an extremely important role, it is widely used in all walks of life. It
The test set data is input into LSTM model to verify the effectiveness of model early warning. The prediction results
Randomly select 25% of the training set data as the verification set, set the model loss value as Mae, and
The LSTM model is trained by selecting the normal operation data of the unit. When the gearbox bearing is in
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
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
The data in normal working state is selected as the training set of the model, with a total of 12800
LSTM principle LSTM model is a special form of recurrent neural network (RNN), which can mine the relationship between the
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
In order to verify the superiority of this method in engineering application, relevant tests are carried out on the closed
When multiple faults coexist, different fault features need to be decomposed into different intrinsic mode functions. Therefore, EEMD is needed