Chemometrics as a Tool to Gain Insight into Fiber Rope Aging from Infrared Images
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Abstract
Fiber ropes are steadily gaining in popularity for offshore lifting purposes. One limiting factor is many fibers’ low tolerance for high temperatures. Measurements of rope temperature and changes in thermo-physical properties are therefore highly relevant, a task which may be performed using an infrared camera. Chemometrics is one tool among the many techniques available for image processing. The present paper details results from applying chemometrics to infrared images obtained from recent cyclic-bend-over-sheave testing. It is shown how this tool contributes to separating the various phenomena going on, like changes in thermal properties, vertical rope movement, surface degradation, and rope twist. A brief discussion on the applicability for real-life monitoring is also given.
How to Cite
##plugins.themes.bootstrap3.article.details##
Condition monitoring, Fiber ropes, Chemometrics, IR camera
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.