Simultaneous In Situ Measurement of Temperature and Relative Humidity in a PEMFC Using Optical Fiber Sensors

2010 ◽  
Vol 157 (8) ◽  
pp. B1173 ◽  
Author(s):  
N. A. David ◽  
P. M. Wild ◽  
J. Jensen ◽  
T. Navessin ◽  
N. Djilali
Keyword(s):  
Relative Humidity ◽  
Optical Fiber ◽  
Optical Fiber Sensors ◽  
In Situ Measurement ◽  
Fiber Sensors

scholarly journals Measurement of Temperature and Relative Humidity with Polymer Optical Fiber Sensors Based on the Induced Stress-Optic Effect

Sensors ◽  
2018 ◽  
Vol 18 (3) ◽  
pp. 916 ◽  
Author(s):  
Arnaldo Leal-Junior ◽  
Anselmo Frizera-Neto ◽  
Carlos Marques ◽  
Maria Pontes
Keyword(s):  
Relative Humidity ◽  
Optical Fiber ◽  
Optical Fiber Sensors ◽  
Polymer Optical Fiber ◽  
Fiber Sensors ◽  
Induced Stress

scholarly journals Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applications

2020 ◽  
pp. 147592172092155 ◽  
Author(s):  
Mattia Francesco Bado ◽  
Joan Ramon Casas ◽  
Judit Gómez
Keyword(s):  
Structural Health Monitoring ◽  
Optical Fiber ◽  
Health Monitoring ◽  
Optical Fiber Sensors ◽  
Post Processing ◽  
Monitoring Tool ◽  
Fiber Sensors ◽  
Structural Health ◽  
Distributed Optical Fiber

Distributed optical fiber sensors are measuring tools whose potential related to the civil engineering field has been discovered in the latest years only (reduced dimensions, easy installation process, lower installation costs, elevated reading accuracy, and distributed monitoring). Yet, what appears clear from numerous in situ distributed optical fiber sensors monitoring campaigns (bridges and historical structures among others) and laboratory confined experiments is that optical fiber sensors monitorings have a tendency of including in their outputs a certain amount of anomalistic readings (out of scale and unreliable measurements). These can be both punctual in nature and spread over all the monitoring duration. Their presence strongly affects the results both altering the data in its affected sections and distorting the overall trend of the strain evolution profiles, thus the importance of detecting, eliminating, and substituting them with correct values. Being this issue intrinsic in the raw output data of the monitoring tool itself, its only solution is computer-aided post-processing of the strain data. This article discusses different simple algorithms for getting rid of such disruptive anomalies using two methods previously used in the literature and a novel polynomial-based one with different levels of sophistication and accuracy. The viability and performance of each are tested on two study case scenarios: an experimental laboratory test on two reinforced concrete tensile elements and an in situ tunnel monitoring campaign. The outcome of such analysis will provide the reader with both clear indications on how to purge a distributed optical fiber sensors-extracted data set of all anomalies and on which is the best-suited method according to their needs. This marriage of computer technology and cutting edge structural health monitoring tool not only elevates the distributed optical fiber sensors viability but also provides civil and infrastructures engineers a reliable tool to perform previously unreachable levels of accuracy and extension monitoring coverage.

scholarly journals Optical Fiber Sensors for Metal Ions Detection Based on Novel Fluorescent Materials

2020 ◽  
Vol 8 ◽  
Author(s):  
Yi Cai ◽  
Ming Li ◽  
Minghao Wang ◽  
Jin Li ◽  
Ya-nan Zhang ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Metal Ions ◽  
Fluorescent Probes ◽  
Optical Fiber Sensor ◽  
High Sensitivity ◽  
Optical Fiber Sensors ◽  
Fiber Sensors ◽  
Fluorescent Materials ◽  
Metal Ions Detection

Recently, novel fluorescent probes based on biomaterials and luminescent nanomaterials for metal ions attract tremendous attentions, owing to their advantages of simple operation, high sensitivity and rapid response for metals detection. Immobilized on the optical fiber sensor, fluorescent probes reveal the advantages while facing outdoor detection challenges. Therefore, numerous fluorescent optical fiber sensors for metal ions have been developed for online and in-situ detection to predict and prevent the environmental problems. Differ from refractometer-based fiber sensors, the structures of the fiber sensors based on fluorescent materials are usually simple, and the characters of the materials and the fabrication processes of fiber sensors are more significant to the sensing performances. This paper summarized the studies of optical fiber sensors for metal detection based on novel fluorescent materials to help researchers get the highlights of recent notable advancements and obtain the better potential prospects.

Surface Plasmon Resonance-based Optical Fiber Sensors for H2S In Situ detection

Plasmonics ◽  
2021 ◽  
Author(s):  
Adilson R. Prado ◽  
Camilo A. R. Díaz ◽  
Luís Guilherme Lyra Nunes ◽  
Jairo P. Oliveira ◽  
Marco C. C. Guimarães ◽  
...  
Keyword(s):  
Surface Plasmon Resonance ◽  
Optical Fiber ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Optical Fiber Sensors ◽  
Fiber Sensors ◽  
In Situ Detection

Relative humidity optical fiber sensors

2014 ◽  
Author(s):  
Haibin Ni ◽  
Ming Wang ◽  
Wei Chen
Keyword(s):  
Relative Humidity ◽  
Optical Fiber ◽  
Optical Fiber Sensors ◽  
Fiber Sensors

Zeolite-coated optical fiber sensors for in-situ detection of organics in gas and liquid phases

2005 ◽  
Author(s):  
Jian Zhang ◽  
Hai Xiao ◽  
Junhang Dong
Keyword(s):  
Optical Fiber ◽  
Optical Fiber Sensors ◽  
Fiber Sensors ◽  
Liquid Phases ◽  
In Situ Detection

Analytical method for the modeling of optical fiber sensors for intensity modulation based on curved reflection

2013 ◽  
Author(s):  
H. Hu ◽  
S. J. Qin ◽  
L. Q. Zhong ◽  
D. B. Zhang ◽  
Y. Cao
Keyword(s):  
Optical Fiber ◽  
Analytical Method ◽  
Optical Fiber Sensors ◽  
Intensity Modulation ◽  
Fiber Sensors

scholarly journals A Review of Recent Distributed Optical Fiber Sensors Applications for Civil Engineering Structural Health Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1818
Author(s):  
Mattia Francesco Bado ◽  
Joan R. Casas
Keyword(s):  
Structural Health Monitoring ◽  
Optical Fiber ◽  
Health Monitoring ◽  
Optical Fiber Sensors ◽  
Vibration Monitoring ◽  
Fiber Sensors ◽  
Structural Health ◽  
Comprehensive Collection ◽  
Monitoring Tools ◽  
Distributed Optical Fiber

The present work is a comprehensive collection of recently published research articles on Structural Health Monitoring (SHM) campaigns performed by means of Distributed Optical Fiber Sensors (DOFS). The latter are cutting-edge strain, temperature and vibration monitoring tools with a large potential pool, namely their minimal intrusiveness, accuracy, ease of deployment and more. Its most state-of-the-art feature, though, is the ability to perform measurements with very small spatial resolutions (as small as 0.63 mm). This review article intends to introduce, inform and advise the readers on various DOFS deployment methodologies for the assessment of the residual ability of a structure to continue serving its intended purpose. By collecting in a single place these recent efforts, advancements and findings, the authors intend to contribute to the goal of collective growth towards an efficient SHM. The current work is structured in a manner that allows for the single consultation of any specific DOFS application field, i.e., laboratory experimentation, the built environment (bridges, buildings, roads, etc.), geotechnical constructions, tunnels, pipelines and wind turbines. Beforehand, a brief section was constructed around the recent progress on the study of the strain transfer mechanisms occurring in the multi-layered sensing system inherent to any DOFS deployment (different kinds of fiber claddings, coatings and bonding adhesives). Finally, a section is also dedicated to ideas and concepts for those novel DOFS applications which may very well represent the future of SHM.

Chemical and Biological Applications Based on Plasmonic Optical Fiber Sensors

2021 ◽  
Vol 24 (5) ◽  
pp. 50-55
Author(s):  
Chiara Perri ◽  
Francesco Arcadio ◽  
Girolamo D'Agostino ◽  
Nunzio Cennamo ◽  
Giovanni Porto ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Optical Fiber Sensors ◽  
Biological Applications ◽  
Fiber Sensors
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