Title :
Research on Oil Ferrography Analysis Fault Diagnosis of Diesel Engine Based on BP Neural Network
Author :
Zhang Bin ; Yan Jun ; Liu Hongliang
Author_Institution :
Eng. Inst. of Eng. Crops, PLA Univ. of Sci. & Technol., Nanjing
Abstract :
The principle of attrition pattern recognition was discussed based on the research of the engine´s characteristic of wear particle and fault mechanism, establish the relationship between the wear particle and attrition pattern, the paper give a new method which can be used for engine´s fault diagnosis based on the ferrography technology, by using BP neural network established the fault diagnosis model, the diagnosis results indicate the reliability of this method.
Keywords :
backpropagation; diesel engines; fault diagnosis; fuzzy neural nets; lubrication; pattern recognition; wear; BP neural network; attrition pattern recognition; backpropagation; diesel engine; fault diagnosis; fuzzy neural net; oil ferrography analysis; wear particle; Abrasives; Diesel engines; Electric breakdown; Fault diagnosis; Friction; Information analysis; Lubrication; Neural networks; Paper technology; Petroleum;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.149