Research on fault diagnosis method based on Temporal Bayesian Network

DOI

10.2991/icmmcce-17.2017.123How to use a DOI?

Keywords

Temporal Bayesian Networks; time window; fault diagnosis; fault retrieval sequences

Abstract

This paper is based on the traditional network of bayesian, introducing the concept of the time window, to construct the Temporal Bayesian Network (TBN) model. In addition, optimizing TBN model reasoning algorithm to process system data which has the temporal haracteristic. Then we can obtain the posterior probability of each node in the TBN and use importance ranking method to determine the fault retrieval sequence, optimize of fault diagnosis process.Combined with the state power line fault diagnosis example to verify the correctness of this method.

Copyright

© 2017, 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  - Yulong Song
AU  - Weiwei Hu
PY  - 2017/09
DA  - 2017/09
TI  - Research on fault diagnosis method based on Temporal Bayesian Network
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 675
EP  - 680
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.123
DO  - 10.2991/icmmcce-17.2017.123
ID  - Song2017/09
ER  -