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A novel algorithm for highly sensitive and rapid hotspot detection in HTS magnets using quasi-continuous fiber Bragg gratings

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MEASUREMENT 2023年第1期214卷

作者： Huang, Xiyong Gonzales, Jofferson T. Badcock, Rodney A. Victoria Univ Wellington Paihau Robinson Res Inst Wellington New Zealand

Most optical fiber sensors based on Brillouin/Rayleigh scattering, and discrete fiber Bragg gratings (FBGs) cannot offer the speed and distributed sensing with operation in a cryogenic environment < 80 K necessary for superconducting magnet protection. An ultra-long fiber Bragg grating (ULFBG) comprised of quasi-continuous FBGs has the potential to rapidly detect the occurrence of a thermal hot spot in high-temperature super-conducting magnets. However, processing the data for detection purpose is challenging. This is because the spectrum of an ULFBG is complex, and the hotspot induced spectral changes are difficult to identify. In this paper, we present the novel Spectral Intensity Change (SIC) algorithm to 1) extract the region of interest within the spectrum based on unique change patterns, 2) identify the direction of temperature change, and 3) process the isolated spectral data to signal hotspot events. To demonstrate the effectiveness of the algorithm, three ULFBGs with sensing lengths of 0.2, 0.5 and 1.9 m are used to detect events of temperature variations. Using the algorithm, ULFBG sensors not only can identify a hot spot event rapidly and accurately but also achieve a significantly enhanced signal to noise ratio (SNR) at 80 K. The SIC algorithm has the potential to be implemented for real-time hotspot and quench detection in superconducting magnets.

关键词： Distributed sensing Fiber optic sensor Fiber Bragg grating signal processing algorithm Pattern recognition Feature extraction Region of interest Real-time monitoring Cryogenics

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Active-Passive Radar for Radar Imaging from Aerospace Carriers 19

Active-Passive Radar for Radar Imaging from Aerospace Carrie...

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19th International Conference on Smart Technologies (IEEE EUROCON)

作者： Pavlikov, Volodymyr Volosyuk, Valeriy Zhyla, Simeon Tserne, Eduard Shmatko, Olexandr Sobkolov, Anton NAU Kharkiv Aviat Inst Aerosp Radioelect Syst Dept Kharkiv Ukraine

ISBN: (纸本)9781665432993

algorithms for radar imaging of the underlying surface from aerospace carriers have been synthesized. In doing so, we have considered two possible ways of image reception based on methods of active and passive remote sensing. On this basis, a radar complex, which allows forming images proportional to either the specific effective surface scattering or the effective noise temperature of the underlying surface, has been created. The structural scheme of the complex in accordance with both operating modes is developed. The results of radio image simulation are given.

关键词： radar imaging signal processing algorithm image filtration ultrawideband signals

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Adaptive Phase Detrending for GNSS Scintillation Detection: A Case Study Over Antarctica

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2022年 19卷

作者： Spogli, Luca Ghobadi, Hossein Cicone, Antonio Alfonsi, Lucilla Cesaroni, Claudio Linty, Nicola Romano, Vincenzo Cafaro, Massimo Ist Nazl Geofis & Vulcanol I-00143 Rome Italy SpacEarth Technol I-00143 Rome Italy Univ Aquila Dept Informat Engn Comp Sci & Math I-67100 Laquila Italy Finnish Geospatial Res Inst FI-02430 Masala Finland Univ Salento Dept Engn Innovat I-73100 Lecce Italy

We aim at contributing to the reliability of the phase scintillation index on Global Navigation Satellite System (GNSS) signals at high-latitude. To the scope, we leverage on a recently introduced detrending scheme based on the signal decomposition provided by the fast iterative filtering (FIF) technique. This detrending scheme has been demonstrated to enable a fine-tuning of the cutoff frequency for phase detrending used in the phase scintillation index definition. In a single case study based on Galileo data taken by a GNSS ionospheric scintillation monitor receiver (ISMR) in Concordia Station (Antarctica), we investigate how to step ahead of the cutoff frequency optimization. We show how the FIF-based detrending allows deriving adaptive cutoff frequencies, whose value changes minute-by-minute. They are found to range between 0.4 and 1.2 Hz. This allows better accounting for diffractive effects in phase scintillation index calculation and provides a GNSS-based estimation of the relative velocity between satellite and ionospheric irregularities.

关键词： Cutoff frequency Global navigation satellite system Indexes Ionosphere Receivers Standards Monitoring Galileo Global Navigation Satellite Systems (GNSSs) ionosphere ionospheric irregularities iterative filtering modal analysis signal processing algorithm transform

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Micro-PMU based on Savitzky-Golay filter

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IET GENERATION TRANSMISSION & DISTRIBUTION 2020年第11期14卷 2092-2099页

作者： Aleixo, Renato R. Silva, Leandro R. M. Duque, Carlos A. Lima, Marcelo A. A. Univ Fed Juiz de Fora Elect Engn Program Juiz De Fora Brazil

This study describes a synchrophasor estimation method and its hardware implementation applicable at the distribution level of the power system, under steady-state or dynamic conditions. The method proposed is based on the discrete Fourier transform and uses the Savitzky-Golay filter in the frequency estimation process. The main goal of this study is to present the signal processing algorithm for phasor estimation and some important issues regarding its implementation in real-time systems. The performance of the micro-phasor measurement unit (mu-PMU) is validated using a waveform generator and real-time power system simulator.

关键词： signal processing discrete Fourier transforms frequency estimation real-time systems phasor measurement filtering theory microPMU Savitzky-Golay filter synchrophasor estimation method hardware implementation distribution level dynamic conditions frequency estimation process signal processing algorithm phasor estimation real-time systems microphasor measurement unit mu-PMU waveform generator real-time power system simulator discrete Fourier transform

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Adaptive Filtering Approach With Forgetting Factor for Stochastic signals Applied to EEG

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IEEE ACCESS 2020年 8卷 101274-101283页

作者： Alicia Aguilar-Cruz, Karen de Jesus Medel-Juarez, Jose Teresa Zagaceta-Alvarez, Maria Palma-Orozco, Rosaura Urbieta-Parrazales, Romeo Inst Politecn Nacl Ctr Invest Computat Mexico City 07738 DF Mexico Inst Politecn Nacl Escuela Super Ingn Mean & Elect Azcapotzalco Mexico City 02519 DF Mexico Inst Politecn Nacl Escuela Super Comp Mexico City 07738 DF Mexico

This paper presents a new stochastic adaptive estimation-identification technique for nonstationary systems. The proposed method enhances the initial results from an on average estimation, and its identification, through a generalized adaptable function based on the Exponential Forgetting Factor (EFF), and the Sliding Mode (SM) regarding the error identification. In this form, the presented process includes the function implementation in three stages -estimation, adaptive estimation, and adaptive estimation-identification, allowing us to observe the gradual convergence to a nonstationary reference signal. Simulations first introduce convergence level checks obtained from the estimation and identification of artificial signals. After that, the algorithm is applied for real references, considering the Electroencephalogram (EEG) signals taken from a public database, finding their internal nonstationary gains, indirectly. Finally, the results include a performance comparison between the proposed strategy concerning the Recursive Least Square (RLS), the Least Mean Square (LMS), and the Kalman Filter (KF).

关键词： Adaptive estimation electroencephalogram parameter estimation signal processing algorithm system identification

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Rapid and robust radioisotopes identification algorithms of X-Ray and gamma spectra

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MEASUREMENT 2021年 168卷 108456-108456页

作者： El-Tokhy, Mohamed S. Egyptian Atom Energy Author Engn Dept Nucl Res Ctr P 13759 Inshas Egypt

Fast nuclide identification with higher accuracy rate is a significant requirement within nuclear applications. So effective spectrum identification algorithms are developed for low resolution spectra of NaI(TI) scintillator and Si (Li) detectors. Identification of X-ray and gamma complex spectra is the main objective of current research. So the experimental gamma and X-ray data are trained and tested using artificial neural network (ANN), support vector machine (SVM) and similarity classifiers. The features of acquired X-ray and gamma spectra are extracted using eight algorithms. These algorithms depend on fusion of time-domain descriptors (FTDD), electromyography (EMG), multiscale wavelet packet (MWP), multiscale wavelet packet with statistics (MWPS), principle component analysis (PCA), multi-dimensional scale, the preserved linear projection (LPP) and diffusion map. Robustness of these algorithms is investigated in terms of noise degradations such as Gaussian, Rician, Rayleigh and other complex degradations. Classification accuracy is investigated with the source name. The recognized spectrum is analyzed from view of peak width calibration, efficiency calibration, sum peak analysis, peak-to-Compton ratio (PCR). The rapid identification process is conducted with the algorithm based on electromyography method for both gamma and X-ray spectra. However, the algorithm based on diffusion map realizes the slowest spectrum identification. It is concluded that, for gamma and X-ray spectra, the SVM classifier achieves the fastest identification with maximum rate of 99%. Finally, the ANN is observed to achieve better rate of 100% with slower identification process depending on FTDD, EMG, LPP methods. The proposed approach helps the realization of fastest spectrum identification and classification of gamma and X-ray spectra within nuclear applications with higher robustness and accuracy.

关键词： Spectrum identification Nuclear security Medical and industrial applications signal processing algorithm

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Aircraft Turboprop Engine Vibration Monitoring Module 25

Aircraft Turboprop Engine Vibration Monitoring Module

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25th International Conference on Applied Electronics (AE)

作者： Dulik, Tomas Pospisilik, Martin Oplustil, Vladimir Benes, Petr Tomas Bata Univ Zlin Fac Appl Informat Zlin Czech Republic UNIS As Div Aerosp & Adv Control Brno Czech Republic Brno Univ Technol Fac Elect Engn & Commun Brno Czech Republic

ISBN: (纸本)9788026108924

The paper describes electronic vibration monitoring module (EVM) that can be used as standalone diagnostic system or as a part of a complex modular concept of engine electronic control (EEC/FADEC) with aircraft health monitoring system. We present a new generation of EVM for modern small turboprop engines and their vibration diagnostics which has been developed by Unis, a.s. in cooperation with Brno University of Technology and Tomas Bata University in Zlin.

关键词： In Flight Vibration Monitoring Turboprop Engine Vibrations Vibration Monitoring System signal processing algorithm

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Ultrasonic testing system design for defect visualization of inhomogeneous multi-layered pipes

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SN APPLIED SCIENCES 2019年第12期1卷 1583页

作者： Zhu, Ye Liang, Yi Wei, Shicheng Wang, Yujiang Wang, Bo Acad Army Armored Forces Natl Key Lab Remfg Beijing 100072 Peoples R China

One of the major concerns of pipe equipment used for oil, gas and nuclear power generation, is their failure due to corrosion and abrasion of their inner walls. However, current methods have some problems detecting the inner wall of long and deep pipes, which has become an urgent safety problem. In this paper, we have designed and tested a suitable scanning and imaging method that offers high quality imaging, high efficiency and low cost. We applied the technique on remanufactured ceramic-lined steel composite pipe parts using a 4-module visualization nondestructive testing device. Digital signal and imaging algorithms were employed to superimpose multi-interface images to reconstruct 3D models of tested pipes with defects. Our findings suggest that ultrasonic scanning technique is feasible to analyze inner wall damages. The newly-designed hardware and software system shows efficiency and effectivity in the testing experiments on specimens with artificial markers and defects.

关键词： Inhomogeneous multi-layered pipes Ultrasonic nondestructive testing (UT) signal processing algorithm Image superposition

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algorithm to identify circulating tumor cell clusters using in vivo flow cytometer

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Journal of Innovative Optical Health Sciences 2018年第5期11卷 11-20页

作者： Kai Pang Dan Wei Pengfei Hai Zhangru Yang Xiaofu Weng Xunbin Wei State Key Laboratory of Oncogenes and Related Genes Shanghai Cancer Institute Med-X Research Institute and School of Biomedical Engineering Shanghai Jiao Tong University 1954 Huashan Road Shanghai 200030P.R.China Department of Biomedical Engineering Washington University in St.Louis One Brookings Drive St.LouisMissouri 63130USA Radiation Oncology Center Fudan University Shanghai Cancer Center(FUSCC)Shanghai 200032 P.R.China

Recent studies in oncology have addressed the importance of detecting circulating tumor cell clusters because circulating tumor cell clusters might survive and metastasize more easily than single circulating tumor *** with larger peak widths detected by in vivo flow cytometer(IVFC)have been used to identify cell clusters in previous ***,the accuracy of this criterion might be greatly degraded by variance in blood°ow and the rolling behaviors of circulating tumor ***,we propose a criterion and algorithm to distinguish cell clusters from single *** this work,we first used area-based and volume-based models for single°uorescent *** each model,we analyzed the corresponding morphology of IVFC signals from cell *** to the Rayleigh criterion,the valley between two adjacent peak signals from two distinguishable cells should be lower than 73.5%of the peak values.A novel signal processing algorithm for IVFC was developed based on this *** results showed that cell clusters can be reliably identied using our proposed *** imaging was also performed to further support our *** enhanced accuracy,IVFC is a powerful tool to study circulating cell clusters.

关键词： In vivo flow cytometer circulating tumor cell cell clusters signal processing algorithm computer simulation Rayleigh criterion

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Low power millimeter wave radar system for the visually impaired

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JOURNAL OF ENGINEERING-JOE 2019年第19期2019卷 6034-6038页

作者： Long, Ningbo Wang, Kaiwei Cheng, Ruiqi Hu, Weijian Yang, Kailun Zhejiang Univ Coll Opt Sci & Engn Hangzhou Zhejiang Peoples R China

In order to help visually impaired people to avoid obstacles, a K-band millimetre wave (MMW) radar system based on the principle of frequency-modulated continuous wave (FMCW) is proposed in this study. The FMCW basic principle and the signal processing algorithm are elaborated in detail. The prototype of the radar system has been designed and manufactured. The experiment results show the qualified detection accuracy in view of low deviation. The maximum deviations from the range measurement experiments for a person and a car are 0.14 and 0.47m, respectively. As a wearable system, the radar system has the characteristics of low power and small size, which is very suitable for blind navigation application. In addition, the MMW radar has broad application prospects in the field of automotive blind spot detection and small robots.

关键词： handicapped aids FM radar CW radar millimetre wave radar radar detection radionavigation medical signal detection visually impaired people signal processing algorithm wearable system low power K-band millimetre wave radar system low power K-band MMW radar system frequency-modulated continuous wave radar system FMCW radar system radar detection blind navigation application automotive blind spot detection

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