Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)

Research on Fault Prediction Model and Algorithm of Communication System Based on HMM

Authors
Xiaotao Xu, Yichen Song, Yonghong Gao
Corresponding Author
Xiaotao Xu
Available Online March 2018.
DOI
10.2991/mmsa-18.2018.48How to use a DOI?
Keywords
hidden model; communication system; fault prediction; algorithm
Abstract

The hidden model is a typical state prediction model, which has been widely used in the field of industrial production state monitoring in recent years. This paper analyzes the basic principle of HMM, puts forward three basic algorithms for fault prediction of communication system, analyzes the structural properties of the algorithm, puts forward the application model architecture of HMM, and provides the theoretical basis for constructing the fault prediction system based on HMM model.

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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Volume Title
Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
978-94-6252-499-6
ISSN
1951-6851
DOI
10.2991/mmsa-18.2018.48How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xiaotao Xu
AU  - Yichen Song
AU  - Yonghong Gao
PY  - 2018/03
DA  - 2018/03
TI  - Research on Fault Prediction Model and Algorithm of Communication System Based on HMM
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 212
EP  - 216
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.48
DO  - 10.2991/mmsa-18.2018.48
ID  - Xu2018/03
ER  -