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

DOI

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SP  - 383
EP  - 386
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.82
DO  - 10.2991/iwmecs-18.2018.82
ID  - Qi2018/04
ER  -