• DocumentCode
    2260329
  • 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
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    519
  • Lastpage
    524
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.149
  • Filename
    4739627