Synchronization Error in Powerful Gear Honing Based on Electronic Gearbox
Abstract This thesis focuses on the modeling and compensation of synchronization errors in powerful gear honing based on an electronic […]
Abstract This thesis focuses on the modeling and compensation of synchronization errors in powerful gear honing based on an electronic […]
Abstract This study investigates the dynamic reliability of a wind turbine gearbox under random wind loads, focusing on failure correlation […]
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 […]