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Conference Paper: Composite-structure strain assessment by optical Hopfield neural network

TitleComposite-structure strain assessment by optical Hopfield neural network
Authors
Wei, PanLin, BinZhou, WenTang, Weizhong
KeywordsComposite Structures
Fiber Optics
Intelligent Structures
Monitoring
Neural Networks
Optical Sensors
Signal Processing
Strain
Issue Date1996
PublisherSPIE - International Society for Optical Engineering. The Journal's web site is located at https://www.spiedigitallibrary.org/conference-proceedings-of-spie
Citation
Aerospace/Defense Sensing and Controls, Orlando, FL, 8-12 April 1996. In Proceedings of SPIE - The International Society for Optical Engineering, 1996, v. 2751, p. 100-108 How to Cite?
DOI: http://dx.doi.org/10.1117/12.241998
AbstractBecause massive amounts of various information from embedded fiber sensors in composite are required to intelligently monitor the integrity and health of the structure, smart structures face the challenge of signal processing in future applications. In this paper, we give our studies on the processing of signals from polarimetric fiber sensors to assess strain distribution by an improved optical Hopfield neural network.
Persistent Identifierhttp://hdl.handle.net/10722/90878
ISSN
0277-786X
2020 SCImago Journal Rankings: 0.192

 

DC FieldValueLanguage
dc.contributor.authorWei, Panen_HK
dc.contributor.authorLin, Binen_HK
dc.contributor.authorZhou, Wenen_HK
dc.contributor.authorTang, Weizhongen_HK
dc.date.accessioned2010-09-17T10:09:44Z-
dc.date.available2010-09-17T10:09:44Z-
dc.date.issued1996en_HK
dc.identifier.citationAerospace/Defense Sensing and Controls, Orlando, FL, 8-12 April 1996. In Proceedings of SPIE - The International Society for Optical Engineering, 1996, v. 2751, p. 100-108en_HK
dc.identifier.issn0277-786X-
dc.identifier.urihttp://hdl.handle.net/10722/90878-
dc.description.abstractBecause massive amounts of various information from embedded fiber sensors in composite are required to intelligently monitor the integrity and health of the structure, smart structures face the challenge of signal processing in future applications. In this paper, we give our studies on the processing of signals from polarimetric fiber sensors to assess strain distribution by an improved optical Hopfield neural network.en_HK
dc.languageengen_HK
dc.publisherSPIE - International Society for Optical Engineering. The Journal's web site is located at https://www.spiedigitallibrary.org/conference-proceedings-of-spie-
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_HK
dc.subjectComposite Structuresen_HK
dc.subjectFiber Opticsen_HK
dc.subjectIntelligent Structuresen_HK
dc.subjectMonitoringen_HK
dc.subjectNeural Networksen_HK
dc.subjectOptical Sensorsen_HK
dc.subjectSignal Processingen_HK
dc.subjectStrainen_HK
dc.titleComposite-structure strain assessment by optical Hopfield neural networken_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLin, B:blin@hku.hken_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1117/12.241998-
dc.identifier.scopuseid_2-s2.0-0029749023en_HK
dc.identifier.volume2751en_HK
dc.identifier.spage100en_HK
dc.identifier.epage108en_HK
dc.identifier.issnl0277-786X-

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