Condition Monitoring Technologies for Synthetic Fiber Ropes - a Review

Oland, Espen; Schlanbusch, Rune; Falconer, Shaun

doi:10.36001/ijphm.2017.v8i2.2619

Cited by 8 publications

(16 citation statements)

References 37 publications

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“…Some benefits of synthetic fiber ropes include their lower weight, which makes them simpler to install, and they are grease-free [ 351 ]. Aside from these specific benefits, rope replacement decisions are made based on visual inspections and the number of load cycles [ 352 ]. Often, the only way to do a visual assessment is to demount the ropes.…”

Section: Dynamic Positioning Using Sensors On Offshore Facilitiesmentioning

confidence: 99%

“…Fault monitoring applications including monitoring for compression fatigue, heating, tensile fatigue, vibration/shock, abrasion, creep, UV radiation, and strain are the primary damage processes for fiber ropes [ 352 ]. Rope behaviors such as breaking strain, breaking stress, and stiffness alter as a result of rope fiber degradation and fatigue [ 341 ].…”

Section: Fault Monitoring Using Sensors On Offshore Facilitiesmentioning

confidence: 99%

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Guidelines on Asset Management of Offshore Facilities for Monitoring, Sustainable Maintenance, and Safety Practices

Amaechi

Reda

Kgosiemang

et al. 2022

Sensors

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Recent activities in the oil and gas industry have shown an increasing need for monitoring engagements, such as in shipping, logistics, exploration, drilling, or production. Hence, there is a need to have asset management of these offshore assets (or facilities). Much of the offshore infrastructure is currently approaching or past its operational life expectancy. The study presents an overview on asset management of offshore facilities towards monitoring, safe practices, maintenance, and sustainability. This study outlines the major considerations and the steps to take when evaluating asset life extensions for an aging offshore structure (or asset). The design and construction of offshore structures require some materials that are used to make the structural units, such as offshore platform rigs, ships, and boats. Maintaining existing assets in the field and developing new platforms that are capable of extracting future oil and gas resources are the two key issues facing the offshore sector. This paper also discusses fault diagnosis using sensors in the offshore facilities. The ocean environment is constantly corrosive, and the production activities demand extremely high levels of safety and reliability. Due to the limited space and remote location of most offshore operations, producing cost-effective, efficient, and long-lasting equipment necessitates a high level of competence. This paper presents the guidelines on asset monitoring, sustainable maintenance, and safety practices for offshore structures. In this study, the management of offshore structures were also presented with some discussions on fault monitoring using sensors. It also proposes sustainable asset management approaches as guidelines that are advised, with policy implications.

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Section: Dynamic Positioning Using Sensors On Offshore Facilitiesmentioning

confidence: 99%

Section: Fault Monitoring Using Sensors On Offshore Facilitiesmentioning

confidence: 99%

Guidelines on Asset Management of Offshore Facilities for Monitoring, Sustainable Maintenance, and Safety Practices

Amaechi

Reda

Kgosiemang

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Some advantages of synthetic fiber ropes are the lower weight, hence they are easier to install and need no grease, more detailed advantages are listed in Foster (2002). Decisions on the replacement of ropes are based upon visual inspections and the count of load cycles (Oland et al, 2017). Often visual inspection is only feasible by dismounting the ropes.…”

Section: Introductionmentioning

confidence: 99%

“…The main damage mechanisms for fiber ropes are abrasion, creep, UV radiation, tensile fatigue, heating, compression fatigue, and shock (Oland et al, 2017). Rope fiber damages and fatigue affects the rope behavior like breaking strain, breaking stress, and stiffness change (Beltran and Williamson, 2011).…”

Section: Introductionmentioning

confidence: 99%

Fault Detection in Modular Offshore Platform Connections Using Extended Kalman Filter

Tockner

Blümel

Ellermann

2021

Front. Built Environ.

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Within the Space@Sea project, funded by the Horizon 2020 program, a concept for a floating island was developed. The main idea is to create space in the offshore environment, which can be used to harvest renewable energy, grow food or build a maritime transport and logistic hub. The island is designed as an assembly of platforms, which are connected by ropes and fenders. These connection elements are considered critical, as they have to carry extreme loads in the severe offshore environment. At the same time, any failure in the connecting elements might put the entire platform structure at risk. This paper presents a feasibility study for the fault detection in the connection elements using Extended Kalman filters. For various test cases, typical parameters of the connecting elements are estimated from motion data of the structure. Thus, the technique reveals changes in the connections. For various test cases, it is shown that fault detection is possible. Not only a failure of a single connecting rope but also multiple faults in the system can be detected.

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“…For example, they demonstrate higher resistance to corrosion, do not require greasing, and are easier to install [13]. Moreover, despite their higher purchase price, synthetic fiber ropes are lightweight which allows utilizing smaller cranes; leading to cost reductions [14]. However, synthetic ropes, just as steel wires, do suffer from wear-and-tear and get damaged over time.…”

mentioning

confidence: 99%

Real-Time Damage Detection in Fiber Lifting Ropes Using Convolutional Neural Networks

Jalonen¹,

Al-Sa'D²,

Mellanen³

et al. 2023

Preprint

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The health and safety hazards posed by worn crane lifting ropes mandate periodic inspection for damage. This task is time-consuming, prone to human error, halts operation, and may result in the premature disposal of ropes. Therefore, we propose using deep learning and computer vision methods to automate the process of detecting damaged ropes. Specifically, we present a novel vision-based system for detecting damage in synthetic fiber rope images using convolutional neural networks (CNN). We use a camera-based apparatus to photograph the lifting rope's surface, while in operation, and capture the progressive wear-and-tear as well as the more significant degradation in the rope's health state. Experts from Konecranes annotate the collected images in accordance with the rope's condition; normal or damaged. Then, we pre-process the images, design a CNN model in a systematic manner, evaluate its detection and prediction performance, analyze its computational complexity, and compare it with various other models. Experimental results show the proposed model outperforms other techniques with 96.4% accuracy, 95.8% precision, 97.2% recall, 96.5% F1-score, and 99.2% AUC. Besides, they demonstrate the model's realtime operation, low memory footprint, robustness to various environmental and operational conditions, and adequacy for deployment in industrial systems.

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Condition Monitoring Technologies for Synthetic Fiber Ropes - a Review

Cited by 8 publications

References 37 publications

Guidelines on Asset Management of Offshore Facilities for Monitoring, Sustainable Maintenance, and Safety Practices

Guidelines on Asset Management of Offshore Facilities for Monitoring, Sustainable Maintenance, and Safety Practices

Fault Detection in Modular Offshore Platform Connections Using Extended Kalman Filter

Real-Time Damage Detection in Fiber Lifting Ropes Using Convolutional Neural Networks

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