Nonlinear spectrum broadening and its impact on performance of Rayleigh-scattering-based distributed strain/temperature fiber optic sensors

2018 ◽  
Vol 15 (11) ◽  
pp. 115108 ◽  
Author(s):  
B G Gorshkov ◽  
M A Taranov
2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Agnese Coscetta ◽  
Aldo Minardo ◽  
Lucio Olivares ◽  
Maurizio Mirabile ◽  
Mario Longo ◽  
...  

Wind turbine (WT) blade is one of the most important components in WTs, as it is the key component for receiving wind energy and has direct influence on WT operation stability. As the size of modern turbine blade increases, condition monitoring and maintenance of blades become more important. Strain detection is one of the most effective methods to monitor blade conditions. In this paper, a distributed fiber-optic strain sensor is used for blade monitoring. Preliminary experimental tests have been carried out over a 14 m long WT composite blade, demonstrating the possibility of performing distributed strain and vibration measurements.


Author(s):  
Steve Lomperski ◽  
Craig Gerardi

Distributed fiber optic temperature sensing based on Rayleigh scattering is a relatively new technique offering data density unachievable with point sensors such as thermocouples and RTDs. Thousands of temperature measurements can be generated by a single fiber optic cable suspended within a flow field. And unlike imaging techniques such as laser induced fluorescence, fiber optic sensors are suitable for applications involving opaque fluids. But verifying measurement accuracy along a distributed temperature sensor (DTS) can be problematic. Unlike traditional sensors such as thermocouples, DTS calibration shifts can accompany sensor handling or movement because they respond to strain as well as temperature. This paper describes an assessment of a Rayleigh scattering-based sensing system used to measure air temperature within a 1 × 1 × 1.7 m tank used for thermal mixing experiments. Two 40 m-long DTSs were strung across the tank midplane at 16 levels. Stability in stagnant air was examined over seven days and found to be generally better than ± 0.5°C with local regions of drift up to 1.5°C. DTSs were also tested in isothermal flow to assess signal degradation associated with flow-induced vibration. Noise increased with flow velocity, inducing data loss that grew with distance along the fiber. Despite data losses >50% in high noise regions, mean temperatures after simple filtering agreed with low noise regions to within ∼4°C.


2008 ◽  
Vol 22 (4) ◽  
pp. 264-273 ◽  
Author(s):  
Fabio Matta ◽  
Filippo Bastianini ◽  
Nestore Galati ◽  
Paolo Casadei ◽  
Antonio Nanni

2018 ◽  
Vol 138 (12) ◽  
pp. 525-532
Author(s):  
Masahiko Ito ◽  
Yuya Koyama ◽  
Michiko Nishiyama ◽  
Emi Yanagisawa ◽  
Mariko Hayashi ◽  
...  

2000 ◽  
Author(s):  
Bruce K. Fink ◽  
Kelli Corona-Bittick

2021 ◽  
Vol 39 (1) ◽  
pp. 336-336
Author(s):  
George. Y. Chen ◽  
Christophe A. Codemard ◽  
Philip M. Gorman ◽  
Jaclyn S. Chan ◽  
Michalis N. Zervas

1997 ◽  
Author(s):  
Robert P. Kenny ◽  
E. Gutierrez ◽  
Alfredo C. Lucia ◽  
Maurice P. Whelan ◽  
F. Gaiazzi

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