Based on the Improvement of Grey Target Theory in Diesel Engine Fault Diagnosis

Cui Xia Zhang; Cong Hu Liu

doi:10.4028/www.scientific.net/AMR.557-559.2122

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 557-559Based on the Improvement of Grey Target Theory in...

Based on the Improvement of Grey Target Theory in Diesel Engine Fault Diagnosis

Abstract:

Based on the practical operation of diesel engine fault and a lot of professional experience and knowledge, an improved gray target engine fault diagnosis model was proposed. The ault sign standard model structure was built by Fault-to-date statistical data and professional experience and knowledge,and multi-target heart Failure was constructed. The causes of a diesel engine was diagnosed through the fault symptoms and the cause of the malfunction bull's-eye from all sort and its practicability and validity have been indicated by its result.

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Periodical:

Advanced Materials Research (Volumes 557-559)

Pages:

2122-2125

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.557-559.2122

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Online since:

July 2012

Authors:

Cui Xia Zhang, Cong Hu Liu

Keywords:

Diesel Engine, Fault Diagnosis, Grey Target Theory

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References

[1] NIU Dongxiao, WANG Yongli, MA Xiaoyong. Optimization of support vector machine power load forecasting model based on data mining and Lyapunov Exponents [J].J. Cent. South Univ.Technol.2010, 17 406-412.

DOI: 10.1007/s11771-010-0060-0

Google Scholar

[2] CHEN Shiwei , LI Zhuguo, XU Qisheng, Application of grey target theory in optimizing Diesel Engine Running-in[J].Transactions of CSICE,2005(4),371-375

Google Scholar

[3] WU Dinghai ,ZHANG Peilin REN Guoquan. Bayes-based Hyper-sphere Classification and Its Application in Diesel Engine Abnormity Detection[J].Journal of mechanical Engineering.2011,3(47):22-26

DOI: 10.3901/jme.2011.06.022

Google Scholar

[4] CAI Yangping, LI Aihua, WANG Tao,diesel engine fault diagnosis based on time-frequency spectrum image and image segmentation. [J]. Transactions of CSICE.2011(2):181-186

Google Scholar

[5] LIU Sifeng, DANG Yaoguo, FANG Zhigeng .Grey system theory and application [M]. Beijing: Science Press, (2004)

Google Scholar

[6] DONG Julong, Basic method of grey system [M].WuChang: Hua Zhong University of Science and technology Press,(1987)

Google Scholar

[7] YANG Jiantian, ZHOU Peiye. Fault diagnosis for gear train of locomotive diesel engine based on empirical mode decomposition and Laplace wavelet. Journal of mechanical Engineering.2011, 4(47):109-115

DOI: 10.3901/jme.2011.07.109

Google Scholar