How can Acoustic Emission Signals be Used in Condition Monitoring and Diagnosis of Diesel Engine Condition?

2016 ◽  
Vol 01 (S1) ◽  
Author(s):  
Tan ACC
Keyword(s):  
Acoustic Emission ◽  
Diesel Engine ◽  
Condition Monitoring ◽  
Monitoring And Diagnosis ◽  
Engine Condition

Diesel engine condition monitoring using a multi-net neural network system with nonintrusive sensors

2011 ◽  
Vol 31 (17-18) ◽  
pp. 4097-4105 ◽  
Author(s):  
Jacobo Porteiro ◽  
Joaquín Collazo ◽  
David Patiño ◽  
José Luis Míguez
Keyword(s):  
Neural Network ◽  
Diesel Engine ◽  
Condition Monitoring ◽  
Network System ◽  
Neural Network System ◽  
Engine Condition

Application of Oil Analysis Techniques to Diesel Engine Condition Monitoring

2012 ◽  
Vol 224 ◽  
pp. 217-220
Author(s):  
Yong Guo Zhang ◽  
Xu Feng Jiang ◽  
Xiao Wen Wu ◽  
Zong Ying
Keyword(s):  
Diesel Engine ◽  
Condition Monitoring ◽  
Diesel Engines ◽  
Lubricating Oil ◽  
Oil Contamination ◽  
Oil Analysis ◽  
Mechanical Wear ◽  
Analysis Techniques ◽  
Wear Condition ◽  
Engine Condition

In order to verify the validity of oil analysis for heavy diesel engine condition monitoring, the lubricating oil were sampled from the lubricating system of the domestic diesel engines, and then were tested by oil analysis (including contamination detection, periodic sampling test and ferrography technology). The results showed that oil analysis could monitor the lubricating oil contamination and mechanical wear condition to make diesel engines avoid early mechanical failure.

An efficient short-time Fourier transform algorithm for grinding wheel condition monitoring through acoustic emission

2021 ◽  
Vol 113 (1-2) ◽  
pp. 585-603
Author(s):  
Wenderson N. Lopes ◽  
Pedro O. C. Junior ◽  
Paulo R. Aguiar ◽  
Felipe A. Alexandre ◽  
Fábio R. L. Dotto ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Fourier Transform ◽  
Condition Monitoring ◽  
Grinding Wheel ◽  
Short Time Fourier Transform ◽  
Short Time
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