Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling

Technical Research of Crane Reliability Control Based on Neural Network

Authors
Yu Janli, Zhou Ruifang, Wu Zhifei
Corresponding Author
Yu Janli
Available Online June 2015.
DOI
https://doi.org/10.2991/kam-15.2015.10How to use a DOI?
Keywords
neural network; crane; reliability; model.
Abstract

This paper study control problems of tower crane operational reliablity. Observational variables of crane running status are employed as input vectors, status codes of reliablity are employed as output vectors, on-line neural network model is set to monitor tower reliablity of crane running status. Cross validation methods is utilized to train neural network, therefore, defect of lacking traning samples are overcome, generalization ability of neural network is assured. Monitor experiments show that status type can be judged by neural network for crane running status validation samples and those samples with noise. A kind of valid and steady control technique is provided for reliablity of crane status.

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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Volume Title
Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-87-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/kam-15.2015.10How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Yu Janli
AU  - Zhou Ruifang
AU  - Wu Zhifei
PY  - 2015/06
DA  - 2015/06
TI  - Technical Research of Crane Reliability Control Based on Neural Network
BT  - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
PB  - Atlantis Press
SP  - 37
EP  - 40
SN  - 1951-6851
UR  - https://doi.org/10.2991/kam-15.2015.10
DO  - https://doi.org/10.2991/kam-15.2015.10
ID  - Janli2015/06
ER  -