Title :
Application of a MLP neural network for compensation of distortions in strain gauges measurements due to temperature variations in offshore operation of a flexible pipe-lay vessel
Author :
Barbosa, C. Hall ; Kühner, G.S. ; Lima, E. Andrade ; Vellasco, M. ; Pacheco, M.
Author_Institution :
Pontificia Univ. Catolica do Rio de Janeiro, Brazil
fDate :
6/24/1905 12:00:00 AM
Abstract :
Strain gauges are often affected by temperature variations, yielding unacceptable distortions on load measurements. Such effects have been observed on a flexible pipe-lay vessel, in which the load indication presents a large distortion around noon everyday. In this paper, a neural network scheme is employed to overcome such difficulties
Keywords :
compensation; multilayer perceptrons; oil technology; signal processing; strain gauges; MLP neural network; distortion compensation; flexible pipe-laying vessel; multilayer perceptron; offshore operation; strain gauge measurements; temperature variations; Capacitive sensors; Distortion measurement; Intelligent networks; Neural networks; Ocean temperature; Pulleys; Sea measurements; Strain measurement; Temperature measurement; Winches;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005449
