A method of evaluating diesel engine performance by using data mining technology

SUN Feng; HUANG Lian-zhong; LIU Yi-fan; CHEN Wei-nan

doi:10.16411/j.cnki.issn1006-7736.2017.03.014

Journal of Dalian Maritime University >

2017 , Vol. 43 >Issue 3: 83 - 88

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2017.03.014

A method of evaluating diesel engine performance by using data mining technology

SUN Feng ,
HUANG Lian-zhong ,
LIU Yi-fan ,
CHEN Wei-nan

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(1.China Classification Society,Beijing 100007,China;2.Marine Engineering College,Dalian Maritime University,Dalian 116026,China)

Received date: 2017-04-01

Revised date: 2017-05-28

Online published: 2017-05-31

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Abstract

The diesel engine performance was described by using the changes in relationship between load and fuel consumption rate of diesel engine in the case of different rotating speed based on the data of ship voyage speed, main engine rotating speed，power and fuel consumption rate. Firstly, different voyage statements were distinguished according to the data characteristic about voyage speed and engine rotating speed. Secondly, the k-value self-adaptation k-means clustering method was proposed to analyze the ship sailing data in the condition of constant speed sailing. Finally, polynomial fitting was used to get the relationship between load and fuel consumption rate of diesel engine in the case of different rotating speed. The performance description of diesel engine obtained by data mining can not only be used as a standard for performance evaluation of diesel engines, but also provide a basis for the research of intelligent energy efficiency technology of ships.

Key words： ship; big data; diesel engine; clustering analysis; performance evaluation

Cite this article

SUN Feng , HUANG Lian-zhong , LIU Yi-fan , CHEN Wei-nan . A method of evaluating diesel engine performance by using data mining technology[J]. Journal of Dalian Maritime University, 2017 , 43(3) : 83 -88 . DOI: 10.16411/j.cnki.issn1006-7736.2017.03.014

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