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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

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

In order to verify the effectiveness of the proposed method, the experimental study is carried out on the zjs50 comprehensive

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

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

As the most commonly used mechanical transmission components, gearbox faults are very common, including gear faults, bearing outer ring, inner

Gearbox has the advantages of compact structure and high transmission efficiency, which is the most widely used transmission component at