Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)

Research on Error Diagnosis Method Based on Single FSM State Machine Model

Authors
Mingcheng Qu, Xianghu Wu, Yongchao Tao, Ying Liu
Corresponding Author
Mingcheng Qu
Available Online August 2017.
DOI
10.2991/itim-17.2017.28How to use a DOI?
Keywords
Finite state machine, forward analysis, reverses analysis, judgment error
Abstract

The shortcomings of the existing single Finite State Machine (FSM) model and diagnosis method are given by analyzing the single FSM model and problem model. Then, according to the shortcomings of the current single FSM error model, a new state machine model and problem model are proposed, that is, the traditional FSM model increase the non-executable conversion, and then increase the two error models, that is, the conversion unexecuted errors and the conversion redundant error. According to the phased diagnosis method, an improved algorithm is proposed based on the existing algorithm to improve the efficiency of the algorithm. Experimental tests show that the proposed improved FSM problem model and the error diagnosis method are correct and effective.

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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Volume Title
Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
Series
Advances in Intelligent Systems Research
Publication Date
August 2017
ISBN
10.2991/itim-17.2017.28
ISSN
1951-6851
DOI
10.2991/itim-17.2017.28How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Mingcheng Qu
AU  - Xianghu Wu
AU  - Yongchao Tao
AU  - Ying Liu
PY  - 2017/08
DA  - 2017/08
TI  - Research on Error Diagnosis Method Based on Single FSM State Machine Model
BT  - Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
PB  - Atlantis Press
SP  - 112
EP  - 115
SN  - 1951-6851
UR  - https://doi.org/10.2991/itim-17.2017.28
DO  - 10.2991/itim-17.2017.28
ID  - Qu2017/08
ER  -