Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)

Application of Improved Evidence Theory Algorithm to Health Diagnosis of Mine Belt Conveyors

Authors
Ruimin Qi, Guodong Zhang
Corresponding Author
Ruimin Qi
Available Online April 2018.
DOI
https://doi.org/10.2991/iwmecs-18.2018.82How to use a DOI?
Keywords
information fusion, evidence theory, method of improved fusion
Abstract
According to the multi sensors in the actual environment are susceptibly disturbed, and also the traditional evidence theory has the limitations in the data fusion, so this paper presents an improved information fusion method. Information the belt conveyor sensor acquisition is fuzzed, fusion is performed according to a certain proportion, so as to realize the comprehensive judgment in the conveyor performance. Experiments show that the method can improve security and reliability of the conveyor.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
Part of series
Advances in Computer Science Research
Publication Date
April 2018
ISBN
978-94-6252-491-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/iwmecs-18.2018.82How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ruimin Qi
AU  - Guodong Zhang
PY  - 2018/04
DA  - 2018/04
TI  - Application of Improved Evidence Theory Algorithm to Health Diagnosis of Mine Belt Conveyors
BT  - 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.82
DO  - https://doi.org/10.2991/iwmecs-18.2018.82
ID  - Qi2018/04
ER  -