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1 March 2015 Research on the Prediction of Health Status of the Container Gantry Crane Energy Systems
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Abstract
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 the remaining capacity of batteries, with the PSO-BP algorithm optimizing the parameters in the LS-SVM model. Using the trained LS-SVM model, the remaining capacity of batteries and the degradation trend of battery capacity with time are predicted. Compared with measured results, the predicted results show that the LS-SVM model can accurately predict the remaining capacity of lead-acid batteries.
© 2015 Coastal Education and Research Foundation
Hongxia Jia, Haiwei Liu and Yang Yang "Research on the Prediction of Health Status of the Container Gantry Crane Energy Systems," Journal of Coastal Research (JCR) 73(sp1), (1 March 2015). https://doi.org/10.2112/SI73-025.1
Received: 12 August 2014; Accepted: 18 November 2014; Published: 1 March 2015
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