Journal of Dalian Maritime University >
2017 , Vol. 43 >Issue 1: 61 - 66
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2017.01.010
Diesel engine fault diagnosis method based on fusion distance measurement
Received date: 2016-06-21
Revised date: 2016-07-22
Online published: 2016-07-26
In the case of unclear correlation of faults characteristic variable by a complex of monitoring information of diesel engine, the effective features of faults cannot be calculated by neither through Mahalanobis distance nor though Euclidean distance. However, a distance measurement method named fusion distance was put forward. The weight coefficients were determined by using characteristic variable correlation coefficient, and the dynamic weighting of Euclidean distance and Mahalanobis distance was carried out under consideration of both the correlation and independence of characteristic variables, which can effectively improve the accuracy of fault diagnosis. The validity of the fusion distance method was verified by the diagnostic accuracy and clustering effects respectively.
Key words： diesel engine; fault diagnosis; fusion distance; clustering analysis
LIU Gang , WANG Xing-cheng , YANG Bing-song . Diesel engine fault diagnosis method based on fusion distance measurement[J]. Journal of Dalian Maritime University, 2017 , 43(1) : 61 -66 . DOI: 10.16411/j.cnki.issn1006-7736.2017.01.010
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