A New Support Vector Regression Model for Equipment Health Diagnosis with Small Sample Data Missing and Its Application

A New Support Vector Regression Model for Equipment Health Diagnosis with Small Sample Data Missing and Its Application

Actually, it is difficult to obtain a large number of sample data due to equipment failure, and small sample data may also be missing. This paper proposes a novel small sample data missing filling method based on support vector regression (SVR) and genetic algorithm (GA) to improve equipment health...

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Bibliographic Details
Main Authors:	Qinming Liu, Wenyi Liu, Jiajian Mei, Guojin Si, Tangbin Xia, Jiarui Quan
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.1155/2021/6675078
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