Real-time diagnostic system using acoustic emission for a cylinder liner in a large two-stroke diesel engine

Author(s):  
Jang Kyu Kim ◽  
Min Cheol Lee
2017 ◽  
Vol 10 (1) ◽  
pp. 308-316 ◽  
Author(s):  
Vittorio Ravaglioli ◽  
Federico Stola ◽  
Matteo De Cesare ◽  
Fabrizio Ponti ◽  
Stefano Sgatti

1995 ◽  
Vol 34 (Part 2, No. 11B) ◽  
pp. L1557-L1560 ◽  
Author(s):  
Yong-Feng Lu ◽  
Yoshinobu Aoyagi

2000 ◽  
Author(s):  
David R. Snelling ◽  
Gregory J. Smallwood ◽  
Robert A. Sawchuk ◽  
W. Stuart Neill ◽  
Daniel Gareau ◽  
...  

Author(s):  
Javad Mohammadpour ◽  
Karolos Grigoriadis ◽  
Matthew Franchek ◽  
Benjamin J. Zwissler

In this paper, we present a real-time parameter identification approach for diagnosing faults in the exhaust gas recirculation (EGR) system of Diesel engines. The proposed diagnostics method has the ability to detect and estimate the magnitude of a leak or a restriction in the EGR valve, which are common faults in the air handling system of a Diesel engine. Real-time diagnostics is achieved using a recursive-least-squares (RLS) method, as well as, a recursive formulation of a more robust version of the RLS method referred to as recursive total-least-squares method. The method is used to identify the coefficients in a static orifice flow model of the EGR valve. The proposed approach of fault detection is successfully applied to diagnose low-flow or high-flow faults in an engine and is validated using experimental data obtained from a Diesel engine test cell and a truck.


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