2017
DOI: 10.1016/j.marstruc.2016.10.006
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An application of Structural Health Monitoring system based on FBG sensors to offshore wind turbine support structure model

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Cited by 98 publications
(50 citation statements)
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“…Then, an SHM system based on FBG sensors dedicated to an OWT model supported by a tripod foundation was presented. It has a good development potential in detecting and localizing the damage based on four damage indexes due to the better accuracy and can be used for OWTs with tripod foundations [65]. The Offshore Wind Infrastructure Lab (OWI-lab) has constructed an SHM system using excitation, acceleration, and displacement sensors to perform monopole foundation monitoring in the Belwind offshore wind farm.…”
Section: Health Monitoring System Of the Tower And Foundationmentioning
confidence: 99%
“…Then, an SHM system based on FBG sensors dedicated to an OWT model supported by a tripod foundation was presented. It has a good development potential in detecting and localizing the damage based on four damage indexes due to the better accuracy and can be used for OWTs with tripod foundations [65]. The Offshore Wind Infrastructure Lab (OWI-lab) has constructed an SHM system using excitation, acceleration, and displacement sensors to perform monopole foundation monitoring in the Belwind offshore wind farm.…”
Section: Health Monitoring System Of the Tower And Foundationmentioning
confidence: 99%
“…Compared with strain gauges, FBG sensors have a higher immunity to electrical noise, do not require external excitation, and are highly resistant to corrosion [24]. This makes them ideal for situations involving submersion in water, such as in a paper by Mieloszyk and Ostachowicz [25] in which a water basin and a wave machine were used to simulate an environmental load, and FBG was able to detect the appearance of circumferential cracks on a wind turbine support structure. WT blades, however, are clearly not subject to such great corrosive and environmental pressures.…”
Section: Strainmentioning
confidence: 99%
“…What is noteworthy is huge technological progress in the field of numerical simulations, supported by experimental tests [24][25][26][27][28][29][30][31][32][33][34][35][36][37]. Visible progress is also observed in technologies of structure production [38][39][40] and structure operation monitoring [41][42][43][44][45]. All these factors affect considerably the dynamics of offshore wind power industry sector development.…”
Section: Fig 2 Average Water Region Depth and Distance From The Seamentioning
confidence: 99%