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

被引：0

作者：

Barbosa, CH ^{[1
]}

Kühner, GS ^{[1
]}

Lima, EA ^{[1
]}

Vellasco, M ^{[1
]}

Pacheco, M ^{[1
]}

机构：

[1] Pontificia Univ Catolica Rio de Janeiro, BR-22453900 Rio De Janeiro, Brazil

来源：

PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年

关键词：

D O I：

10.1109/IJCNN.2002.1005449

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Strain gauges are often affected by temperature variations, yielding innaceptable 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.

引用

页码：92 / 96

页数：3