Magnetic sensitive material, giant magnetostrictive powder composite (GMPC), coated fiber bragg grating (FBG) cascaded extrinsic Fabry Pérot interferometer (EFPI) multi-parameter optical fiber sensor is proposed. Which enables the simultaneous detection of temperature, magnetic field and strain. The proposed sensor uses a double FBG cascade EFPI structure including GMPC coated FBG with a wavelength of 1550 nm to achieve magnetic field sensing. The results show that the sensor has a maximum temperature sensitivity of 175.4 pm/℃, a maximum magnetic field sensitivity of -1.54 pm/mT and a maximum stress sensitivity of -9.55 pm/με. The proposed multi-parameter optical fiber sensor solves the multi-parameter cross-sensitivity problem, while the sensor has the characteristics of low cost, interference resistance, compact structure, simple preparation process and long distance transmission. The sensor has promising applications in areas such as biomedicine, environmental detection and military applications, and oil well survey, industrial production, power systems and so on.
In view of the high cost, slow response and insufficient detection limit of traditional detection methods, this paperproposes a high sensitive fiber sensor based on magnetic ion imprinting technology for the detection of lowconcentration of Cd2+. First, the evanescent field and waist cone diameter are analyzed by beam propagation method(BPM), and the sensing unit is prepared. Second, γ-Fe2O3@MAA(M-IIP) magnetic ion printing nanomaterials wereprepared by solid-liquid separation and combined the magnetic blomaterial with the sensing unit by silanlation. Finally, the sensor enables a low-concentration detection of Cd2+. The detection sensitivity was up to 2691.5nm/μMin the rangeof 0-1 μM. The limit of detection (LOD) reached 0.45 nM and the response time was 37s at the lowest concentration. At the same time, the sensor also has good results in terms of structural compactness and production cost.
Real-time identification of frequency-hopping millimeter-wave (mm-wave) signals is a real challenge, due to the high demand for detection bandwidth and processing speed. In this paper, we propose and demonstrate a novel microwave photonic approach to identifying frequency hopping of mm-wave signals based on the concepts of photonic time stretch (PTS) and Reservoir Computing (RC). The PTS scheme allows the modulated signal to be slowed down hence reducing the required detection bandwidth. The developed RC model offers unique features such as being more efficient and time saving in temporal data pattern classification than traditional methods. According to the simulation, RC can recognize the hopping instants and give a precise hop timing estimation in real-time.
Partial discharge is a common insulation fault problem in power system. It will concomitance have ultraviolet light, infrared light, visible light, and local temperature rise. Accordingly, Partial discharge detection based on optical fiber ultraviolet sensing technology can be an effective and feasible insulation fault diagnosis scheme applied to power system. ZnO-nanorods have great development potential in ultraviolet detection due to its high exciton binding energy. From the three parties of controllable preparation of nanometer ZnO material, preparation of optical fiber ultraviolet sensing unit and design of optical path structure, this paper combines theoretical analysis method with experimental analysis method to give a deep analysis. Take advantage of the excellent sensing characteristics of micro-nano fiber, we proposed and designed a FLRD(Fiber Loop Ring Down)-based optical fiber ultraviolet sensing system used for partial discharge diagnosis. It can achieve a high sensitivity of 37.57 ns/nWcm−2 for ultraviolet sensing ranging from 3.18mWcm-2 to 9.55mWcm-2. Compared to existing ZnO UV detectors, the proposed system has advantage of simple to make, resist the influence of light source fluctuation, higher stability, higher sensitivity, and also it can realize long range detection. It provides a novel and effective reference for the research of fiber-based partial discharge detection in the electrical field.
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