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Journals >Chinese Journal of Ship Research >Volume 16 >Issue 2 >Page 176 > Article

Chinese Journal of Ship Research
Vol. 16, Issue 2, 176 (2021)

AVL BOOST-based typical fault simulation and data analysis of marine diesel engine

Zhiqiang ZHAO¹, Jiarui ZHANG², Chiheng LUO¹, Baozhu JIA¹, and Liantong AN¹

Author Affiliations

¹Maritime College, Guangdong Ocean University, Zhanjiang 524088, China

²College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China

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DOI: 10.19693/j.issn.1673-3185.01883 Cite this Article

Zhiqiang ZHAO, Jiarui ZHANG, Chiheng LUO, Baozhu JIA, Liantong AN. AVL BOOST-based typical fault simulation and data analysis of marine diesel engine[J]. Chinese Journal of Ship Research, 2021, 16(2): 176 Copy Citation Text

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References

[1] K ZHONG, M HAN, T QIU et al. Fault diagnosis of complex processes using sparse kernel local fisher discriminant analysis. IEEE Transactions on Neural Networks and Learning Systems, 31, 1581-1591(2020).

[13] X S ZHANG, X M ZENG, X C SUN et al. Thermal and elemental analysis of the combustion chamber deposits in a large-scale two-stroke marine diesel engine. Science China Technological Sciences, 58, 1717-1725(2015).

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Zhiqiang ZHAO, Jiarui ZHANG, Chiheng LUO, Baozhu JIA, Liantong AN. AVL BOOST-based typical fault simulation and data analysis of marine diesel engine[J]. Chinese Journal of Ship Research, 2021, 16(2): 176

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