Application of Sensors in the Corrosion Monitoring of the Ship’s Structural Parts

Beko, Mirjana; Ivošević, Špiro; Dlabač, Tatijana

doi:10.1109/it51528.2021.9390091

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…[11] uses fibre bragg grating sensors and [12] ambient excitation for structure health monitoring of offshore structures. Corrosion monitoring of a ship structure is shown in [13] where mainly optical, acoustic, electromagnetic and galvanic sensors are used. Examples of offshore riser monitoring can be found in [14] where fibre optic strain sensors monitor the static and dynamic strain of offshore risers and in [15] acceleration measurement data are used for monitoring riser damage due to wave and vortex-induced-vibration.…”

Section: Introductionmentioning

confidence: 99%

Fault Detection in Offshore Structures: Influence of Sensor Number, Placement and Quality

2022

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Within the Space@Sea project floating offshore islands, designed as an assembly of platforms, are used to create space in offshore environments. Offshore structures are exposed to harsh environment conditions. High wind speeds, heavy rainfall, ice and wave forces lead to highly stressed structures. The platforms at the Space@Sea project are connected by ropes and fenders. There exists the risk of a rope failing which is therefore investigated subsequently. To ensure the safety of the structure, the rope parameters are monitored by the Extended Kalman Filter (EKF). For platform arrangements, a large number of sensors is required for accurate fault diagnosis of these ropes, leading to high investment costs. This paper presents a strategy to optimize the number and placement of acceleration sensors attached to the floating platforms. There are also high demands on the sensors due to the harsh offshore conditions. Material deterioration and overloading may lead to decayed sensor performance or sensor defects. Maintenance of offshore sensors is difficult, expensive and often not feasible within a short time. Therefore, sensor measurement deviations must not affect reliable structure fault detection. The influence of defect sensors on the rope fault detection is examined in this study: Types, intensities, number, place of occurrence of defect sensors and the distance between defect sensors and rope faults are varied.

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