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Data Fusion Algorithm of Fault Diagnosis Considering Sensor Measurement Uncertainty Cover

Data Fusion Algorithm of Fault Diagnosis Considering Sensor Measurement Uncertainty

International Journal on Smart Sensing and Intelligent Systems
Volume 6 (2013): Issue 1 (January 2013)
By: Xu Xiaobin,  Zhou Zhe and  Wen Chenglin  
Open Access
|Feb 2013

Authors

Xu Xiaobin

xuxiaobin1980@163.com

Insititute of Systems Science and Control Engineering, School of Automation Hangzhou Dianzi University Hangzhou, China

Zhou Zhe

zhouzhe@zju.edu.cn

Insititute of Systems Science and Control Engineering, School of Automation Hangzhou Dianzi University Hangzhou, China
State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control Zhejiang University Hangzhou, China

Wen Chenglin

wencl@hdu.edu.cn

Insititute of Systems Science and Control Engineering, School of Automation Hangzhou Dianzi University Hangzhou, China
DOI: https://doi.org/10.21307/ijssis-2017-534 | Journal eISSN: 1178-5608
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Language: English
Page range: 171 - 190
Submitted on: Aug 30, 2012
|
Accepted on: Jan 11, 2013
|
Published on: Feb 20, 2013
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
sensor data fusion,
fault diagnosis,
random-fuzzy variable,
similarity measure,
Dempster-Shafer evidence theory
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2013 Xu Xiaobin, Zhou Zhe, Wen Chenglin, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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