The vibration data of each state of gear under 50% load is selected for experiment, and the sample length is set as 40000. Before training, the one-dimensional original vibration signals in five states are divided into 2455 total samples in the way of 1 / 20 overlap, and then...
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Fault data acquisition of shearer rocker gear
The working environment of shearer is bad, and the gear fault data of rocker transmission system is not easy to collect, so the gear fault simulation experiment of rocker transmission system is carried out by using the shearer rocker loading experimental platform. The loading test bench of shearer rocker...

Fault diagnosis of shearer rocker gear based on depth residual network
Shearer is one of the core equipment of coal mining face. Rocker arm is the key power component of shearer cutting coal seam. It bears shearer cutting load and nonlinear internal excitation of rocker arm transmission system, which is the weak link of shearer. The environment of coal mining...

Gear fault diagnosis based on multi scale fuzzy entropy
As a common part of mechanical equipment to transmit power and motion, gearbox has been widely used in modern mechanical equipment, such as metal cutting machine tools, aviation, electric power system, agricultural machinery, metallurgical machinery and so on, due to its advantages of fixed transmission ratio, compact structure and...

T-sne dimension reduction analysis of shearer rocker gear fault
In order to more clearly reflect the output classification status of features in each layer of RESNET model, t-sne technology is used to reduce and visualize the high-dimensional features of output of maximum pooling layer, pre activated residual unit module and full connection layer of RESNET model. The visualization...

Fault diagnosis model of shearer rocker gear based on RESNET
1. Selection of residual unit module In RESNET, there are two kinds of residual unit modules: original residual unit module and pre activated residual unit module. Residual unit module is mainly composed of weight layer, batch normalization (BN) layer and relu. The weight layer is used to extract features,...

Case analysis of gear fault based on morphological wavelet and fuzzy entropy
In order to verify the superiority of fuzzy entropy in the fault classification of transmission gears, based on the gear fault test-bed, the vibration signals of four common working conditions of normal gear, slight wear of tooth surface, moderate wear of tooth surface and broken tooth are measured respectively....

Gear fault classification based on morphological wavelet and fuzzy entropy
When the transmission gear has cracks, broken teeth and other faults, it will produce impact characteristics. Because of the impact component, the transmission gear vibration signal shows certain morphological characteristics in time domain. The morphological Haar wavelet is used to denoise the gear vibration signal, and the fuzzy entropy...

Types and causes of gearbox faults
The gearbox has a certain design service life, and it will fail due to wear after a certain period of operation under normal condition. In addition, manufacturing, assembly, operation, use and maintenance and other reasons will also cause failure of various components of the gearbox. In the main components...

Advantages of cepstrum analysis in gear fault diagnosis
Cepstrum analysis plays a special role in gear fault diagnosis, especially in side band analysis. Because the frequency spectrum of the actual gearbox vibration signal is very complex, when there are several side bands crossing each other, it is not enough to rely on the frequency refinement analysis method...
