&lt;title&gt;Evaluation of fiber optic sensors for space vehicle health management&lt;/title&gt;

Andrews, Jeffrey P.; Zisk, Edward J.

doi:10.1117/12.208325

Cited by 4 publications

(2 citation statements)

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“…FOS have recently been considered to offer several bene ts in reusable cryogenic tank applications. 5,6 Implementation of FOS can be especiallyeffectivefor reusable composite tanks because they can be easily embedded into composite tank wall during the manufacturing process without degrading mechanical performance and can be an integral part of composite tank structure. Furthermore, the sensors can operate in a wide temperature range, from cryogenic temperatures up to 500-600 ± C and survive the harsh space environment, while providing an accurate measurements of strain, temperature, and other factors affecting the tanks.…”

Section: Fiber Optic Sensorsmentioning

confidence: 99%

Integrated Health Monitoring Approach for Reusable Cryogenic Tank Structures

Graue

Krisson

Erdmann

et al. 2000

Journal of Spacecraft and Rockets

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Reliability, safety, and economic feasibility of future space transportation systems rely not only on their technical and operational improvements but also as a key task on implementation of health monitoring systems with innovative sensor and diagnosis technologies. The application of such systems provides the possibility to reduce signi cantly the maintenance costs and turnaround time for future reusable launch vehicles. Current development tasks and activities are described in the eld of integrated health monitoring/management for reusable launch vehicles, in particular, for large reusable cryogenic tank structures. Integrated health monitoring refers both to in-ight monitoring and on-ground veri cation phases. The dedicated engineering tasks are addressed including identi cation of critical components and conditions, selection of measurable parameters, detailed tradeoff and definition of candidate sensors, their adequate accommodation, diagnostic expert systems, and data analysis. Special emphasis is given to innovative onboard sensors such as ber optic sensors and acoustic emission sensors as well as nondestructive inspection techniques such as infrared thermography and laser shearography as the most promising methods for inspection of cryogenic tank structures subsystems and components. Finally, the importance of applying telerobotic inspections in restricted tank areas is highlighted.

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Section: Fiber Optic Sensorsmentioning

confidence: 99%

Integrated Health Monitoring Approach for Reusable Cryogenic Tank Structures

Graue

Krisson

Erdmann

et al. 2000

Journal of Spacecraft and Rockets

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“…Studies correlating embedded EFPI's and surface mounted strain gages were found to be inconsistent. For example, Miller 5 , Andrews and Zisk 14 , and Lee et al 5 have reported good accuracy with embedded EFPI's compared to strain gages. In contrast, an experimental investigation conducted by Carman et.…”

Section: Introductionmentioning

confidence: 97%

Characterization of embedded fiber optic sensors in advanced composite materials for structural health monitoring

Richards

Lee

Piazza

et al. 2004

Smart Structures and Materials 2004: Smart Structures and Integrated Systems

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This paper presents comprehensive studies on sensor performance of an embedded Extrinsic Fabry Perot Interferometer (EFPI) fiber optic strain sensor in an aerospace grade composite system to support fiber optic smart structures (FOSS) development for Structural Health Monitoring (SHM) System. A major portion of this study is focused on establishing the accuracy of the embedded EFPI sensors in a graphite epoxy composite material system at different stress levels under quasi-static loading conditions. The NASA Dryden calibrated EFPI's were used for accurate measurements. Two collocated surface-mounted strain gages and a calibrated surface-mounted EFPI sensor are used to validate the calibrated embedded EFPI sensor. Experimental results suggest that once calibrated, the embedded and surface-mounted EFPI sensors provide robust, reliable and accurate measurement for values up to ~5,400 higher than sensor's durability limit ~3,000 at 10 6 cycles. This validation provides evidence that the sensing information emanating from FOSS can be used to monitor accurate health information.

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