Diagnosis and Analysis of Uncertain Information based on Probability-box

DOI

10.2991/ic3me-15.2015.438How to use a DOI?

Keywords

uncertain; fault information; probability box; support vector machine; information fusion

Abstract

The fault information always contains many uncertain, such as the missing information, malfunction and failure to operation. In this paper, we use a new method based on probability-box theory and support vector machine to solve the uncertain problems and improve the diagnosis ability. The first, structural the p-boxes based on the data of fault record. The second, using the fusion rules to get the different probability boxes fusion, then extract the feature from the p-boxes. The final, get the diagnosis result based on the support vector machine. This paper shows that the probability box has high diagnostic rate by comparing with the traditional method.

Copyright

© 2015, 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  - Yan Jun Liu
AU  - Qing Xin Wang
AU  - Jia Man Ding
PY  - 2015/08
DA  - 2015/08
TI  - Diagnosis and Analysis of Uncertain Information based on Probability-box
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 2277
EP  - 2280
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.438
DO  - 10.2991/ic3me-15.2015.438
ID  - Liu2015/08
ER  -