Focusing on the problem of random drift error in Fiber Optic Current Sensor (FOCS), a random drift error extraction algorithm of FOCS based on optimal wavelet packet and Long Short...
This paper addresses the issue of low demodulation accuracy in interferometric signals caused by significant errors in direct peak finding and positioning during multi-peak demodulation of
Fiber Bragg gratings are sensitive elements in fiber optic sensor networks, and this paper discusses the practicalities of using neural network
Measurement accuracy is essential for the all-fiber optic current sensor. Angle errors of axis alignment in the fusion processing affect the measurement accuracy with different modulation and
Abstract: For fiber current-sensing approaches, optical path simplification and measurement error correction are two key points that enhance the measurement performance.
Semantic Scholar extracted view of "Online diagnosis algorithm for random drift error in fiber optic current sensor" by Fubin Pang et al.
This paper describes the development and applications of a fiber-optic electric current sensing technique with the stable properties and compact, simple, and flexible structure of the...
We investigate the effect of polarization cross-coupling at polarization-maintaining (PM) fiber connectors on the accuracy of an interferometric fiber-optic current sensor.
Particular focus is placed on advanced signal-processing and error-compensation algorithms, including filtering techniques, noise suppression,
Abstract In order to enhance the signal-to-noise ratio (SNR) of a distributed optical fiber vibration sensor based on coherent optical time domain
The fiber optic gyroscope (FOG) is one of the most successful fiber sensors [1, 2] and is a key component of inertial navigation systems. Digital closed-loop FOGs have many advantages such
Citations (13) References (11) Abstract Bias error, along with scale factor, is a key factor that affects the measurement accuracy of the fiber-optic current sensor.
As the core component of inertial navigation systems, fiber optic gyroscope (FOG), with technical advantages such as low power consumption, long lifespan, fast startup speed, and flexible structural
The structure of fiber-optic current transformer is complex, and random error becomes one of the major problems that affect the application of fiber-optic current transformers in power engineering.
In order to enhance the signal-to-noise ratio (SNR) of a distributed optical fiber vibration sensor based on coherent optical time domain reflectometry (COTDR), a high extinction ratio
Secondly, this paper assesses the classification delay of each classification algorithm. Finally, this work proposes a fiber optics fault prevention algorithm that determines to mitigate the faults accordingly.
A novel signal-processing algorithm based on frequency estimation of the spectrogram of single-mode optical fiber Fabry-Perot interferometric sensors under white-light illumination is described.
Abstract In this paper, a demodulation algorithm using the phase function of the Fabry-Perot (FP) cavity combined with the minimum mean squared error (MMSE) is proposed for the pressure measurement
These uncalibrated error parameters are the main reasons that the precision of FOG-based strapdown inertial navigation system (SINS) degraded. This research is mainly on the application of a novel
In response to the monitoring needs of conveyor roller faults in open-pit mines, this paper proposes a fiber optic sensing roller fault diagnosis method based on dynamic model driving.
A Novel Artificial Fish Swarm Algorithm for Recalibration of Fiber Optic Gyroscope Error Parameters. Sensors, 15 (5), 10547-10568.
Abstract: The artificial fish swarm algorithm (AFSA) is one of the state-of-the-art swarm intelligent techniques, which is widely utilized for optimization purposes. Fiber optic gyroscope (FOG
In this work, an elimination method of the temperature-induced linear birefringence (TILB) in a stray current sensor is proposed using the cylindrical spiral fiber (CSF), which produces a large
Focusing on the problem of random drift error in Fiber Optic Current Sensor (FOCS), a random drift error extraction algorithm of FOCS based on optimal wavelet packet and Long Short
1D-CNN algorithm is applied to solve the “mode jumping” issue in fiber-optic F-P sensors. The algorithm owns high accuracy, high resolution (1.2 KPa), and high repeatability (0.16 % F.S.).
In view of the problem that the distributed optical fiber-based deformation reconstruction method can produce serious accumulated errors, this paper first designs and builds a distributed
Abstract The stochastic error characteristics of a fiber optic current transducer (FOCT) influence the relay protection, electric-energy metering, and other devices in the spacer layer.
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