bearing-fault-diagnosis

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bearing-fault-diagnosis

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domain adaption with LSGAN for bearing fault diagnosis

bearing-fault-diagnosis 최신버젼 다운로드

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// repository documentation

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# bearing-fault-diagnosis
deep learning methods for bearing fault diagnosis.
## Data
bearing fault datasets are arranged in Dataset Object and packaged in *.pkl files. 
Download in this link:https://pan.baidu.com/s/1rw-yfPTspuwcY7W1i5imLQ password：7kxc

Detail description of these datset is below 
CWRU:http://csegroups.case.edu/bearingdatacenter/home 
GERMAN:https://mb.uni-paderborn.de/kat/forschung/datacenter/bearing-datacenter/ 
ours: 
8 bearings are tested (2 healthy, 3 inner race fault and 3 outer race fault) 
<img src="https://github.com/ddrrrr/bearing-fault-diagnosis/blob/master/pictures/Table.jpg" alt="Table"/> 
<img src="https://github.com/ddrrrr/bearing-fault-diagnosis/blob/master/pictures/emd.jpg" width="150" alt="EMD"/>
<img src="https://github.com/ddrrrr/bearing-fault-diagnosis/blob/master/pictures/drilling.jpg" width="150" alt="drilling"/>
<img src="https://github.com/ddrrrr/bearing-fault-diagnosis/blob/master/pictures/natural.jpg" width="150" alt="natural"/> 
　　　　**EMD　　　　　　　drilling　　　　　　　natural**
## Project 1. domain adaption with advers

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