Research on Diesel Engine Fault Diagnosis Modeling Based on Elman Neural Network


Article Preview

In order to solve the fault diagnosis problem of diesel engine, Elman neural network (ENN) was applied to build a fault diagnosis model of diesel engine. The training algorithm is in introduced and at the same time, the process of diesel engine fault diagnosis is also expatiated. The diagnosis results indicate the reliability. So a contingent fault of diesel engine can be identified effectively.



Advanced Materials Research (Volumes 361-363)

Edited by:

Qunjie Xu, Honghua Ge and Junxi Zhang




G. D. Gao et al., "Research on Diesel Engine Fault Diagnosis Modeling Based on Elman Neural Network", Advanced Materials Research, Vols. 361-363, pp. 1506-1509, 2012

Online since:

October 2011




[1] Huiqiang Zhi, Liang Tian and Zengjun Yang: submitted to Journal of Bulletin of Science and Technology (2005). In Chinese.

[2] Qi Zhang, Lifu Shao and Huanliang Li: submitted to Journal of Manufacturing Information (2004). In Chinese.

[3] Cheng Y L, Huang J C, Yang W C: submitted to Journal of Neurocomputing (2008).

[4] Xin Wen, Lu Zhou and Xiang Li: Simulation and application of MATLAB neural networks (Science Publications, Beijing 2003). In Chinese.

[5] Ling Zhang and Bo Zhang: Theory and Application of Artificial Neural Networks (Zhejiang Science and Technology Publications, Zhejiang 1997). In Chinese.