scholarly journals Engine gearbox fault diagnosis using empirical mode decomposition method and Naïve Bayes algorithm

Sadhana ◽  
2017 ◽  
Vol 42 (7) ◽  
pp. 1143-1153 ◽  
Author(s):  
Kiran Vernekar ◽  
Hemantha Kumar ◽  
K V Gangadharan
Keyword(s):  
Fault Diagnosis ◽  
Empirical Mode Decomposition ◽  
Decomposition Method ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Mode Decomposition ◽  
Empirical Mode Decomposition Method ◽  
Bayes Algorithm

Fault Diagnosis of Transmission Based on EMD and Fractal Technology

2014 ◽  
Vol 926-930 ◽  
pp. 1712-1715
Author(s):  
Zhen Shu Ma ◽  
Chao Liu ◽  
Hua Gang Sun ◽  
Zhi Chuan Liu
Keyword(s):  
Fractal Dimension ◽  
Fault Diagnosis ◽  
Noise Reduction ◽  
Empirical Mode Decomposition ◽  
Decomposition Method ◽  
Great Influence ◽  
Vibration Signal ◽  
Fault Type ◽  
Mode Decomposition ◽  
Empirical Mode Decomposition Method

As a result of the presence of noise in the measured vibration signal has a great influence on the results of calculation of fractal dimension, Therefore the empirical mode decomposition method for noise reduction of gear vibration signal is used, calculation fractal dimension, extraction fault feature of Gear in different conditions. The measured results show that: Different fault states have different fractal dimension, we can judge the fault type of gear effectively by the fractal dimension.

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