Fiber optic system for ship hull monitoring

Sagvolden, Geir; Pran, Karianne; Vines, L.; Torkildsen, Hans Erling; Wang, G.

doi:10.1109/ofs.2002.1000685

Cited by 6 publications

(5 citation statements)

References 7 publications

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“…In recent years, researchers have used the FBG sensor technology in the area of large mechanical equipment for dynamic online condition monitoring. USA military used FBG to monitor the ship working condition [11]. FBG sensor network is also applied to monitor the aeroengine and spacecraft health in Canada, Japan, and Israel.…”

Section: Related Workmentioning

confidence: 99%

An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor Network

Zhang

Zhou

2014

International Journal of Distributed Sensor Networks

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Fiber Bragg Grating (FBG) sensor network has attracted more attention in online condition monitoring for the large mechanical equipment. By the efforts of the encoding scheme for sensor nodes, the capacity for the distributed FBG sensor network can be significantly improved. However, due to the increasing number of sensor nodes, the precision of tracking and locating for the FBG sensors has become a bottleneck that should be conquered. In order to realize more accurate and comprehensive condition monitoring for the large mechanical equipment, an enhanced tracking algorithm for distributed encoding FBG sensor network is presented. The novel tracking algorithm uses three classes of progressive intelligent processing approaches, including the improved cycle matching method, the secondary filter intelligent disposal method, and the assistant decision processes method, to conquer the limitations of the traditional tracking algorithm in which the chaos and error results would be caused as the sensor information variations are overlapped. A set of experiments has been conducted and the results demonstrate that the proposed tracking algorithm performs better than the traditional algorithm in location accuracy for the distributed encoding FBG sensor network and can effectively operate in various working conditions of the large mechanical equipment.

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Section: Related Workmentioning

confidence: 99%

An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor Network

Zhang

Zhou

2014

International Journal of Distributed Sensor Networks

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“…Contrary to strain gauges FBG sensors have small size and weight, multiplexing capabilities, are immune to electromagnetic field interferences and have high corrosion resistance. They can also be mounted onto the structure [4] or even embedded [9] into material of an element during its manufacturing. Those advantages make them to be a very interesting tool in SHM systems installed on marine structures, especially on those made from composite materials.…”

Section: Fbg Sensorsmentioning

confidence: 99%

Practical Application of Monitoring System Based on Optical Sensors for Marine Constructions

Murawski

Ostachowicz

Opoka

et al. 2012

KEM

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The paper presents structural health monitoring (SHM) system, dedicated to marine structures. The considered system is based on the fibre optic technique with Fibre Bragg Grating (FBG) sensors. The aim of this research is recognition of possible practical applications of the fibre optic techniques in selected elements of marine structures. SHM and damage detection techniques have a great importance (economical, human safety and environment protection) in the wide range of marine structures, especially for ships and offshore platforms. In the paper monitoring system of the Horyzont II and Dar Młodzieży ships and offshore oil platform is presented. Practical implementation of safety system based on optical sensors meets several difficulties. There has been installed the FBG system and its measurement results have been compared with classical techniques, e.g. piezoelectric accelerometers. The investigations have been performed for undamaged and damaged structure. Different types of failures have been modelled and tested. Damage detection ability has been specifying on the base of static and dynamic structural characteristics.

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“…The optical measurement method has high measurement accuracy and can measure static deflection, but it needs to establish a special optical channel to ensure visibility conditions, which not only restricts the layout of shipboard equipment but also requires the use of multistage cameras to form an imaging transmission chain, it is easy to introduce new error accumulations (Wu and Pan, 2013). The structural mechanics’ measurement method can evaluate the static flexural deformation of the hull through strain sensors installed in different positions of the hull, but it is necessary to determine the structural parameters of each part of the ship in advance; the above parameters are not fixed, their reliability is not enough (Stevenson and Jordan, 2006; Sagvolden et al , 2002). It shows that the above methods are difficult to effectively calibrate and compensate for static flexural deformation and installing errors in the process of shipboard SINS transfer alignment.…”

Section: Introductionmentioning

confidence: 99%

A transfer alignment algorithm based on combined double-time observation of velocity and attitude

Sheng

Liu²,

Wang³

et al. 2022

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Purpose This paper aims to present a novel transfer alignment method based on combined double-time observations with velocity and attitude for ships’ poor maneuverability to address the system errors introduced by flexural deformation and installing which are difficult to calibrate. Design/methodology/approach Based on velocity and attitude matching, redesigning and deducing Kalman filter model by combining double-time observation. By introducing the sampling of the previous update cycle of the strapdown inertial navigation system (SINS), current observation subtracts previous observation are used as measurements for transfer alignment filter, system error in measurement introduced by deformation and installing can be effectively removed. Findings The results of simulations and turntable tests show that when there is a system error, the proposed method can improve alignment accuracy, shorten the alignment process and not require any active maneuvers or additional sensor equipment. Originality/value Calibrating those deformations and installing errors during transfer alignment need special maneuvers along different axes, which is difficult to fulfill for ships’ poor maneuverability. Without additional sensor equipment and active maneuvers, the system errors in attitude measurement can be eliminated by the proposed algorithms, meanwhile improving the accuracy of the shipboard SINS transfer alignment.

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Fiber optic system for ship hull monitoring

Cited by 6 publications

References 7 publications

An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor Network

An Enhanced Tracking Algorithm for Distributed Encoding Fiber Bragg Grating Sensor Network

Practical Application of Monitoring System Based on Optical Sensors for Marine Constructions

A transfer alignment algorithm based on combined double-time observation of velocity and attitude

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