A Method for Diagnosing the State of Electric Actuator Based on Neural Network

DOI

10.2991/esm-16.2016.4How to use a DOI?

Keywords

State diagnosis, electric actuator, Artificial Intelligence (AI), Neural Network (NN)

Abstract

The article, taking neural network (NN) as the tool and electric actuator as study object, proposes a diagnosis method for electric actuator based on self-organization competitive neural network, by which state diagnosis is realized with discrimination capacity of nonlinear dynamic system of neural network as well as comparison of forecast value of the system and measured values of actual parameters. The system incorporated VB6.0 as development tool and SQL Server2000 as backstage database to realize intelligent diagnosis of states with electric actuator.

Copyright

© 2016, 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  - Hongli Wang
AU  - Bing Xu
AU  - Fuli Liu
AU  - Yuan Zheng
PY  - 2016/08
DA  - 2016/08
TI  - A Method for Diagnosing the State of Electric Actuator Based on Neural Network
BT  - Proceedings of the 2016 International Conference on Engineering Science and Management
PB  - Atlantis Press
SP  - 15
EP  - 17
SN  - 2352-5401
UR  - https://doi.org/10.2991/esm-16.2016.4
DO  - 10.2991/esm-16.2016.4
ID  - Wang2016/08
ER  -