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  • Optimizing multi-parameter distributed fiber sensors: a hybrid Rayleigh . . .
    In contrast, the proposed hybrid system achieves multi-parameter sensing while fully isolating each parameter with a single-end access configuration to the sensing fiber
  • Optical fiber sensors in infrastructure monitoring: a comprehensive . . .
    Because of these advantages of optical fiber sensing, this technology is an ideal monitoring method for infrastructure The purpose of this article is to review and promote the application of optical fiber sensors in infrastructure monitoring
  • Long-Term Monitoring on a New Composite Bridge Girder Based on a Fiber . . .
    Abstract Long-term structural health monitoring is crucial for the safety and durability of infrastructure This study presents the results of a five-year monitoring project on the Grist Mill Bridge in Maine, utilizing a distributed fiber optic sensing system integrated with a specially designed sensing textile
  • Distributed Optical Fiber-Based Monitoring of Smart Passive Anchors for . . .
    Ensuring the integrity and safety of these structures and reliably understanding their structural behavior are of paramount importance This paper explores the application of distributed fiber optic sensors (DFOS) as a cutting-edge technology for monitoring the performance and health of passive composite anchors for soil stabilization
  • Fiber Optic Sensing Technology and Vision Sensing Technology for . . .
    In recent years, the development of fiber optic sensing technology and vision sensing technology has led to further advances in structural health monitoring This paper focuses on the basic principles, recent advances, and current status of applications of these two sensing technologies It provides the reader with a broad review of the literature
  • Passively heated fiber optic distributed temperature sensing for long . . .
    This study addressed the challenge of monitoring long-term soil water dynamics in heterogeneous hillslope environments by developing a hybrid strategy using passive fiber-optic distributed temperature sensing (FO-DTS)
  • Reliability Assessment of Fiber Optic Shape Sensing
    This study evaluates the reliability of fiber optic shape sensing for damage detection through the use of a model-assisted probability of detection framework specifically developed to simulate a carbon fiber-reinforced polymers specimen under quasi-static loading monitored by distributed optical fiber sensors based on Rayleigh backscattering
  • Long-term Monitoring on A New Composite Bridge Girder Based on A Fiber . . .
    Abstract Long-term structural health monitoring is crucial for the safety and durability of infrastructure This study presents the results of a five-year mon-itoring project on the Grist Mill Bridge in Maine, utilizing a distributed fiber optic sensing system integrated with a specially designed sensing textile This textile, embedded within the bridge girders and based on Brillouin Optical
  • Intelligent Distributed Optical Fiber Sensing in Transportation . . .
    Abstract—Distributed optical fiber sensing (DOFS), along with its capabilities of long-range coverage, multi-parameter monitoring, and completely passive detection, emerges as one of the most promising non-destructive detection techniques for structural health monitoring (SHM) and operational assessment of linear transportation infrastructures In this paper, we provide a state-of-the-art
  • Long-Term Reliability of Fiber-Optic Current Sensors
    We present studies on the long-term reliability of interferometric fiber-optic current sensors (FOCS) for use in electric power transmission systems Accelerated ageing tests are performed on crucial optical sensor components and a three-phase sensor system is subjected to an extended field trial The sensor components under test include the sensor's superluminescent light emitting diode light
  • Enhancing Fault Detection and Localization in Passive . . . - Springer
    The proposed model leveraged a hybrid long and short-term time-series network (LSTNet) model that integrates an autoencoder, a convolutional layer, and a gated recurrent unit to process sequential data Our model improves fault management in fiber optic communication networks by forecasting fault severity





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