WLI high voltage optical fiber sensor systems with compensation for optical power fluctuations

2007 ◽  
Author(s):  
Josemir C. Santos ◽  
José C. J. Almeida ◽  
Luiz P. C. da Silva
1989 ◽  
Vol 172 ◽  
Author(s):  
Rebecca A. Haaksma ◽  
Marilyn J. Cehelnik ◽  
M. Jonell Kerkhoff

AbstractThe use of composite materials for aerospace applications has created an increased need for developing nondestructive methods for assessment of composite performance. Embedded optical fiber sensor technology provides the potential for monitoring parameters of interest during processing and testing of composite materials as well as the opportunity for tracking properties over the lifetime of composite parts in service. The successful development of this technology depends on designing optical fiber sensor systems suitable for embedding in composite structures.This paper focuses on the role played by optical fiber coatings in the design of embedded sensor systems. The performance of different optical fiber coatings under typical composite processing conditions will be discussed. Photomicrographs of test specimens containing embedded sensors will be presented which show delamination occurring at the coating/optical fiber interface in preference to the coating/epoxy resin interface. Coating performance criteria will be outlined for use in the selection of fiber optic sensors for composite applications.


Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4055
Author(s):  
Hoon-Keun Lee ◽  
Jaeyul Choo ◽  
Joonyoung Kim

This paper presents a remote 16 Ch × 200 GHz dense wavelength division multiplexing (DWDM)-passive optical fiber sensor (OFS) network. We particularly investigate the remote water-level monitoring capability of the OFS network based on an optical power measurement that features simplicity and a fast processing speed. The OFS network utilizes a seeded amplified spontaneous emission (ASE) light that is spectrum-sliced and distributed by an arrayed waveguide grating (AWG) towards multiple sensing units (SU), where each SU is installed at a different height in the water pool. Then, each SU reflects either of the two different optical powers according to the medium (air vs. water) back to the monitoring station. Therefore, the total received optical power at the monitoring station linearly changes according to the water level. We can simply recognize the water level by utilizing the optical power meter (OPM) at the monitoring station rather than the optical spectrum analyzer (OSA), which is bulky and expensive and requires a relatively long processing time. Consequently, we can reduce the system complexity, processing time, and cost (both installation and maintenance). However, the OPM-based OFS network requires a new methodology to derive the water level from the measured optical power. Thus, we come up with the reference-to-power ratio () analysis, which can be used for the maximum distance analysis as well as water level recognition. Based on the new reception architecture supported by the new post-processing scheme, the OFS network can distinguish 17 different water levels of the SFP at the monitoring station, which is > 40 km away from the SFP, without using any active devices (such as optical amplifiers) at the remote places.


Author(s):  
Stephan Großwig ◽  
Maria-Barbara Schaller ◽  
Lufan Zou ◽  
Omur Sezerman ◽  
Reinhardt Willsch

1993 ◽  
Author(s):  
Andrzej W. Domanski ◽  
Tomasz R. Wolinski ◽  
Artur Dybko ◽  
Tomasz P. Sosin ◽  
Wojtek J. Bock

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