Double Sample Data Fusion Method Based on Combination Rules

Double Sample Data Fusion Method Based on Combination Rules

This paper proposes a double sample data fusion method based on combination rules to improve the classification of dimensionless indices in petrochemical rotating machinery equipment. This method first collects the original data and counts the mutual dimensionless index as the body of evidence. The...

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Bibliographic Details
Main Authors: Jianbin Xiong, Qinghua Zhang, Zhiping Peng, Guoxi Sun, Yongda Cai
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Data fusion
fault diagnosis
mutual dimensionless index
evidence reasoning
K-S test
Online Access:https://ieeexplore.ieee.org/document/7562281/

Internet

https://ieeexplore.ieee.org/document/7562281/

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