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

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 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,

The parameters of neural network mainly include: learning rate, cost function, activation function, number of learning rounds, batch size, network