Research on the Prediction of Health Status of the Container Gantry Crane Energy Systems

Jia, H.; Liu, H., and Yang, Y., 2015. The research on the prediction of health status of the container gantry crane energy systems. In this paper, the remaining capacity of lead-acid batteries is used to evaluate the health status of RTG energy systems. A LS-SVM model was established for predicting...

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Bibliographic Details
Published in:	Journal of coastal research Vol. 73; no. sp1; pp. 139 - 145
Main Authors:	Jia, Hongxia, Liu, Haiwei, Yang, Yang
Format:	Journal Article
Language:	English
Published:	Coastal Education and Research Foundation 01.12.2015 Coastal Education & Research Foundation (CERF)
Subjects:	Artificial neural networks Batteries Energy energy systems Error rates Gantry cranes Health status ls-svm model Marine Resources and Biodiversity Mathematical independent variables Mathematical vectors Modeling Parametric models pso-bp algorithm The container gantry crane the prediction of the health status
ISSN:	0749-0208, 1551-5036
Online Access:	Get full text
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