Preliminary Results on Condition Monitoring of Fiber Ropes using AutomaticWidth and Discrete Length Measurements

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Published Oct 2, 2017
Shaun Falconer Andreas Gromsrud Espen Oland Geir Grasmo

Abstract

As the offshore sector moves to deeper waters, fiber ropes have the potential to replace more traditional solutions such as steel wire ropes for deep sea lifting and heave-compensated operations. While steel wire ropes must account for their own weight when determining the maximum depth that a payload can be deployed, fiber ropes such as high modulus polyethylene (HMPE), are more buoyant than their steel counterparts, enabling payloads to be deployed at deeper depths using smaller cranes. For this reason, companies are actively developing fiber rope cranes to be used in industry. The inherent issue with these designs is monitoring the condition of the fiber rope due the multitude of damage mechanisms and condition indicators that exist, therefore determining the time to rupture remains an unsolved problem. To this end, this paper considers the use of computer vision to monitor the width at discrete length sections and use that as a potential condition indicator. Furthermore, the paper describes in detail how OpenCV is applied to detect the contour of the rope to find the width, how the experiment has been performed, as well as other practical experiences from testing a 28mm Dyneema R fiber rope. The experimental results show an exponential relationship between the applied tension and the reduction in width (which was reduced by more than 10% before rupture), and it is believed that if the width can be monitored at discrete
sections along the rope over time, the width itself will prove to be a good condition indicator.

How to Cite

Falconer, S., Gromsrud, A., Oland, E., & Grasmo, G. (2017). Preliminary Results on Condition Monitoring of Fiber Ropes using AutomaticWidth and Discrete Length Measurements. Annual Conference of the PHM Society, 9(1). https://doi.org/10.36001/phmconf.2017.v9i1.2478
Abstract 191 | PDF Downloads 125

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Keywords

condition monitoring, Condition Indicator, fiber ropes, experimental testing

References
Brosnan, T., & Sun, D. W. (2002). Inspection and grading of agricultural and food products by computer vision systems - A review. Computers and Electronics in Agriculture, 36(2-3), 193–213. doi: 10.1016/S0168-1699(02)00101-1
DNV-GL. (2005). Damage Assessment of Fibre Ropes for Offshore Mooring.
Grabandt, O., Van Berkel, B., Oosterhuis, F., Mathew, T., & Akker, P. G. (2015). Method for non-destructive testing of synthetic ropes and rope suitable for use therein.
Ilaka, M., & Zerza, H. (2014). Patent US 2014/0027401 A1: Apparatus for recognising the discard state of a high-strength fiber rope in use in lifting gear. doi: 10.1016/j.micromeso.2003.09.025
Logan, D. E., Favrow, L. H., Haas, R. J., Stucky, P. A., & Baldwin, N. R. (2006). Patent US 7117981B2: Load Bearing member for use in an elevator system having external markings for indicating a condition of the assembly.
Moeslund, T. B. (2012). Introduction to video and image processing: Building real systems and applications. Springer Science & Business Media.
Suzuki, S., & Abe, K. (1985). Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics and Image Processing, 30(1), 32–46. doi: 10.1016/0734-189X(85)90016-7
Van Der Woude, F., & Zijlmans, J. (2015). Patent WO 2015160254 A1: Real-time rope monitoring.
Section
Technical Research Papers