2016
DOI: 10.1016/j.matpr.2016.03.038
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New Self-diagnostic Fiber Optical Sensor Technique for Structural Health Monitoring

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Cited by 6 publications
(4 citation statements)
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“…[19] describes the use of electrical impedance spectroscopy measurement to enable self-monitoring of semiconductor gas sensor systems. In [20], methods to enable a validation of the sensor functions under operational conditions are suggested, which include the use of a magnetostrictive coated fiber. For piezoelectric wafer active sensors (PWAS), self-diagnosis capabilities exist, which are mainly based on the transducers physics.…”
Section: Introductionmentioning
confidence: 99%
“…[19] describes the use of electrical impedance spectroscopy measurement to enable self-monitoring of semiconductor gas sensor systems. In [20], methods to enable a validation of the sensor functions under operational conditions are suggested, which include the use of a magnetostrictive coated fiber. For piezoelectric wafer active sensors (PWAS), self-diagnosis capabilities exist, which are mainly based on the transducers physics.…”
Section: Introductionmentioning
confidence: 99%
“…Введение. Одним из наиболее перспективных направлений разработки измерительноинформационных комплексов является использование сенсоров на основе волоконных брэгговских решеток (ВБР) [1,2]. В настоящее время решетки Брэгга широко применяются в волокнах и планарных волноводах для уплотнения каналов (технологии WDM) [3] и фильтрации оптического сигнала, а также в качестве зеркал резонаторов в волоконных и полупроводниковых лазерах [4], сглаживающих фильтров в оптических усилителях и для дисперсионной компенсации в магистральных каналах связи [5,6].…”
Section: ключевые слова: волоконная брэгговская решетка интерферометunclassified
“…The investigation of strain and stress of the fiber-coating system presented in this publication was part of the successful development of a self-diagnostic concept of FBG sensors, using the magnetostrictive properties of the NiFe layers. 6…”
mentioning
confidence: 99%