Condition recognition of diesel engine cooling system based on data fusion

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Journal of Dalian Maritime University ›› 2014, Vol. 40 ›› Issue (1) : 61-65.

YU Gui-feng, YAN Zhi-jun,SUN Xiao-long

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Abstract

Multi-sensors’ data fusion method based on Demster-Shafer theory was proposed for condition recognition of diesel engine cooling system. The signals were obtained from two thermal sensors at inlet and outlet pipes respectively by using by the fitness between standard condition characteristic set corresponding to system and test data of sensors, the basic probability assignment matrix was determined. The system operating condition was decided with the data fusion method based on Demster-Shafer theory. Results show that the mentioned method can increase the accuracy of decision obviously, so as to give a new way to the work of condition recognition of diesel engine cooling system.

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diesel engine / condition recognition / Dempster-shafer (DS) theory / multi-sensors / data fusion

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YU Gui-feng, YAN Zhi-jun, SUN Xiao-long. Condition recognition of diesel engine cooling system based on data fusion[J]. Journal of Dalian Maritime University. 2014, 40(1): 61-65

References

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