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Deviation Analysis and Failure Diagnosis of Diesel Engine

  • Yihuai Hu
  • B. Gangadhara Prusty
  • Yijian Liu
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 228)

Abstract

A computer-based filling and emptying diesel engine simulation model has been developed, which can simulate the operational behavior of diesel engine under different performance failures and different running conditions. This paper firstly describes the simulation models and simulated results of a four-stroke, turbo-charged diesel engine. The calculated results in terms of relative deviation are analyzed which reveal the relations between thermodynamic variables, performance failures, running conditions and ship operation conditions. Further, it provides more complete understanding of failures’ behaviors under different running conditions and help to detect the failures amongst complex symptoms. Relative deviation of thermodynamic variables under different running conditions exhibits strong similarity, which induces a new information source for failure detection. Compared to experiments on board ship, this simulative modeling possesses advantages of shorter studying period, less research investment, lower risk in failure simulation and more symptomatic information. Finallyan example is introduced to verify the feasibility of relative deviation analysis in the use of diesel engine failure diagnosis with artificial neural network method.

Key words

deviation analysis failure diagnosis diesel engine simulation 

References

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    Gu Hongzhong, Marine diesel engine handbook (3), National defense industry press, 1979 (in Chinese)Google Scholar
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    Hu Yihuai, Wan Biyu, Zhan Yulong, Performance failures simulation and informational characters analysis for diesel engine, Transactions of Chinese society for internal combustion engines, Vol. 17, No. 4, 1999 (in Chinese)Google Scholar
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    Gao Xiaohong, Simulation techniques for internal combustion engine, National defense industry press, 1995 (in Chinese)Google Scholar
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    Tang Tianhao etc, A study of integrate intelligent marine monitoring system, Proceedings Of IMECE’97, Shanghai, P. R. China, May, 1997Google Scholar

Copyright information

© International Federation for Information Processing 2006

Authors and Affiliations

  • Yihuai Hu
    • 1
  • B. Gangadhara Prusty
    • 2
  • Yijian Liu
    • 1
  1. 1.Shanghai Maritime UniversityChina
  2. 2.University of New South WalesAustralia

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