A New Application of Optimized Random Forest Algorithms in Intelligent Fault Location of Rudders

A New Application of Optimized Random Forest Algorithms in Intelligent Fault Location of Rudders

During the movements of aircraft, missiles, and ships, the rudder plays an important role in their direction control. In order to test the parameters of the rudders, we have to manually measure each item one by one in traditional production and manufacturing of rudders, which waste a great quantity...

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Bibliographic Details
Main Authors: Binglu Chang, Ruifeng Yang, Chenxia Guo, Shuangchao Ge, Longmei Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Rudder test
fault location
machine learning
SFLA-RF
data mining
Online Access:https://ieeexplore.ieee.org/document/8752215/

Internet

https://ieeexplore.ieee.org/document/8752215/

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