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Journal articles on the topic 'Core noise'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Fedyakin, N., R. Krasnokutsky, and R. Shuvalov. "Noise of magnetic core." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 413, no. 1 (1998): 161–65. http://dx.doi.org/10.1016/s0168-9002(98)00300-3.

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2

Ihme, Matthias. "Combustion and Engine-Core Noise." Annual Review of Fluid Mechanics 49, no. 1 (2017): 277–310. http://dx.doi.org/10.1146/annurev-fluid-122414-034542.

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3

Rubiolo, Pablo R., and Michael Y. Young. "ICONE15-10711 CHARACTERIZATION OF UNSTEADY CORE FLOW PATTERNS THROUGH NOISE ANALYSIS TECHNIQUES." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2007.15 (2007): _ICONE1510. http://dx.doi.org/10.1299/jsmeicone.2007.15._icone1510_382.

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4

Arzhanov, V., and I. Pázsit. "Diagnostics of core barrel vibrations by in-core and ex-core neutron noise." Progress in Nuclear Energy 43, no. 1-4 (2003): 151–58. http://dx.doi.org/10.1016/s0149-1970(03)00023-4.

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5

Guedel, A., and A. Farrando. "Experimental study of turboshaft engine core noise." Journal of Aircraft 23, no. 10 (1986): 763–67. http://dx.doi.org/10.2514/3.45378.

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6

Olmo-Juan, N., C. Demazière, T. Barrachina, R. Miró, and G. Verdú. "PARCS vs CORE SIM neutron noise simulations." Progress in Nuclear Energy 115 (August 2019): 169–80. http://dx.doi.org/10.1016/j.pnucene.2019.03.041.

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7

Taylor, Sheldon, Owen Sharpe, and Jiju Peethambaran. "Prime gradient noise." Computational Visual Media 7, no. 3 (2021): 349–62. http://dx.doi.org/10.1007/s41095-021-0206-z.

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AbstractProcedural noise functions are fundamental tools in computer graphics used for synthesizing virtual geometry and texture patterns. Ideally, a procedural noise function should be compact, aperiodic, parameterized, and randomly accessible. Traditional lattice noise functions such as Perlin noise, however, exhibit periodicity due to the axial correlation induced while hashing the lattice vertices to the gradients. In this paper, we introduce a parameterized lattice noise called prime gradient noise (PGN) that minimizes discernible periodicity in the noise while enhancing the algorithmic e

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8

Miles, Jeffrey Hilton. "Core Noise Diagnostics of Turbofan Engine Noise Using Correlation and Coherence Functions." Journal of Propulsion and Power 26, no. 2 (2010): 303–16. http://dx.doi.org/10.2514/1.42980.

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9

Li, Beibei, Jingwei Yan, Qiao Zhao, Jie He, Ruirui Li, and Xiumei Liu. "Image recognition and diagnosis for vibration characteristics of cone valve core." Advances in Mechanical Engineering 12, no. 4 (2020): 168781402091638. http://dx.doi.org/10.1177/1687814020916389.

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Research on vibration characteristics of hydraulic valves is helpful to improve the performance of the hydraulic valve. In this article, a visualization experimental method is designed to capture the cone valve core vibration, and the image sequence of the vibration is obtained. And the least-squares contour fitting of the valve core is proposed to analyze the vibration characteristics of the valve core, which could eliminate noise in the vibration signal and improve accuracy. The difference of the least-squares variance between adjacent data points obtained by least-squares contour fitting is

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10

Sun, Tianwen, and Da Wang. "The Symmetry in the Noise-Perturbed Mandelbrot Set." Symmetry 11, no. 4 (2019): 577. http://dx.doi.org/10.3390/sym11040577.

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This paper investigates the destruction of the symmetrical structure of the noise-perturbed Mandelbrot set (M-set). By applying the “symmetry criterion” method, we quantitatively compare the damages to the symmetry of the noise-perturbed Mandelbrot set resulting from additive and multiplicative noises. Because of the uneven distribution between the core positions and the edge positions of the noise-perturbed Mandelbrot set, the comparison results reveal a paradox between the visual sense and quantified result. Thus, we propose a new “visual symmetry criterion” method that is more suitable for

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11

Dailey, Daniel J., and Robert W. Albrecht. "In-core/ex-core neutron noise measurements to examine core internal vibrations in an operating PWR." Progress in Nuclear Energy 15 (January 1985): 251–60. http://dx.doi.org/10.1016/0149-1970(85)90048-4.

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12

Malmir, Hessam, and Naser Vosoughi. "Propagation noise calculations in VVER-type reactor core." Progress in Nuclear Energy 78 (January 2015): 10–18. http://dx.doi.org/10.1016/j.pnucene.2014.07.010.

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13

Valkovic, Z. "Effects of transformer core design on noise level." Le Journal de Physique IV 08, PR2 (1998): Pr2–603—Pr2–606. http://dx.doi.org/10.1051/jp4:19982139.

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14

Van Zante, Dale. "Large-Scale Simulations for Turbine Engine Core Noise." International Journal of Aeroacoustics 10, no. 1 (2010): 75–87. http://dx.doi.org/10.1260/1475-472x.10.1.75.

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15

Ripka, Pavel, Mattia Butta, Fan Jie, and Xiaoping Li. "Sensitivity and Noise of Wire-Core Transverse Fluxgate." IEEE Transactions on Magnetics 46, no. 2 (2010): 654–57. http://dx.doi.org/10.1109/tmag.2009.2033554.

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16

Celaya, M., and J. Wahr. "Aliasing and noise in core-surface flow inversions." Geophysical Journal International 126, no. 2 (1996): 447–69. http://dx.doi.org/10.1111/j.1365-246x.1996.tb05302.x.

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17

Pavelko, V. I. "Neutron-temperature noise model for a wwer core." Atomic Energy 72, no. 5 (1992): 444–53. http://dx.doi.org/10.1007/bf00761234.

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18

Qiang, He, Nie Jingkai, Zhang Songyang, Xiao Weimin, Ji Shengchang, and Chen Xin. "Study of Transformer Core Vibration and Noise Generation Mechanism Induced by Magnetostriction of Grain-Oriented Silicon Steel Sheet." Shock and Vibration 2021 (May 3, 2021): 1–15. http://dx.doi.org/10.1155/2021/8850780.

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The problem of vibration and noise in the iron core of power transformers remains quite topical. Insofar as the state-of-the-art iron core and binding production adopt the lamination method and weft-free adhesive tape, respectively, the transformer core vibration is mainly attributed to the silicon steel sheet (SSS) magnetostriction. In this paper, based on the magnetostriction of grain-oriented SSS, an in-depth analysis of the vibration generation mechanism in the transformer core was performed. The SSS microstructure was observed, its magnetostrictive properties at different magnetic flux de

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19

Brännström, K. Jonas, Elisabeth Karlsson, Sebastian Waechter, and Tobias Kastberg. "Listening Effort: Order Effects and Core Executive Functions." Journal of the American Academy of Audiology 29, no. 08 (2018): 734–47. http://dx.doi.org/10.3766/jaaa.17024.

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AbstractListening effort seems to depend on input-related listening demands and several factors internal to the individual listener. Input-related demands may be listening in noise compared with listening in quiet, and internal factors may be cognitive functions.The purpose was to apply measures of listening effort and perceived listening effort in participants with normal hearing, to determine if there are any presentation order effects, and to explore the relationship between listening effort measured as accuracy, response times, efficiency of information encoding into long-term memory, perc

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20

Coillot, C., M. El Moussalim, E. Brun, et al. "Magnetic noise contribution of the ferromagnetic core of induction magnetometers." Journal of Sensors and Sensor Systems 4, no. 1 (2015): 229–37. http://dx.doi.org/10.5194/jsss-4-229-2015.

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Abstract. The performance of induction magnetometers, in terms of resolution, depends both on the induction sensor and the electronic circuit. To investigate accurately the sensor noise sources, an induction sensor, made of a ferrite ferromagnetic core, is combined with a dedicated low voltage and current noise preamplifier, designed in CMOS 0.35 μm technology. A modelling of the contribution of the ferromagnetic core to the noise through the complex permeability formalism is performed. Its comparison with experimental measurements highlight another possible source for the dominating noise nea

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21

Waldherr, Annie, Daniel Maier, Peter Miltner, and Enrico Günther. "Big Data, Big Noise." Social Science Computer Review 35, no. 4 (2016): 427–43. http://dx.doi.org/10.1177/0894439316643050.

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In this article, we focus on noise in the sense of irrelevant information in a data set as a specific methodological challenge of web research in the era of big data. We empirically evaluate several methods for filtering hyperlink networks in order to reconstruct networks that contain only webpages that deal with a particular issue. The test corpus of webpages was collected from hyperlink networks on the issue of food safety in the United States and Germany. We applied three filtering strategies and evaluated their performance to exclude irrelevant content from the networks: keyword filtering,

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22

Ali, I., U. Wasenmüller, and N. Wehn. "A code-aided synchronization IP core for iterative channel decoders." Advances in Radio Science 11 (July 4, 2013): 137–42. http://dx.doi.org/10.5194/ars-11-137-2013.

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Abstract. Synchronization and channel decoding are integral parts of each receiver in wireless communication systems. The task of synchronization is the estimation of the general unknown parameters of phase, frequency and timing offset as well as correction of the received symbol sequence according to the estimated parameters. The synchronized symbol sequence serves as input for the channel decoder. Advanced channel decoders are able to operate at very low signal-to-noise ratios (SNR). For small values of SNR, the parameter estimation suffers from increased noise and impacts the communication

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23

Lamirand, V., A. Rais, O. Pakari, et al. "ANALYSIS OF THE FIRST COLIBRI FUEL RODS OSCILLATION CAMPAIGN IN THE CROCUS REACTOR FOR THE EUROPEAN PROJECT CORTEX." EPJ Web of Conferences 247 (2021): 21010. http://dx.doi.org/10.1051/epjconf/202124721010.

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The Horizon2020 European project CORTEX aims at developing an innovative core monitoring technique that allows detecting anomalies in nuclear reactors, such as excessive vibrations of core internals, flow blockage, or coolant inlet perturbations. The technique will be mainly based on using the fluctuations in neutron flux recorded by in-core and ex-core instrumentation, from which the anomalies will be differentiated depending on their type, location and characteristics. The project will result in a deepened understanding of the physical processes involved, allowing utilities to detect operati

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24

Guan, Donghai, Maqbool Hussain, Weiwei Yuan, Asad Masood Khattak, Muhammad Fahim, and Wajahat Ali Khan. "Enhanced Label Noise Filtering with Multiple Voting." Applied Sciences 9, no. 23 (2019): 5031. http://dx.doi.org/10.3390/app9235031.

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Label noises exist in many applications, and their presence can degrade learning performance. Researchers usually use filters to identify and eliminate them prior to training. The ensemble learning based filter (EnFilter) is the most widely used filter. According to the voting mechanism, EnFilter is mainly divided into two types: single-voting based (SVFilter) and multiple-voting based (MVFilter). In general, MVFilter is more often preferred because multiple-voting could address the intrinsic limitations of single-voting. However, the most important unsolved issue in MVFilter is how to determi

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25

Mylonakis, A., P. Vinai, and C. Demaziére. "Neutron noise modelling for nuclear reactor diagnostics." HNPS Proceedings 26 (April 1, 2019): 139. http://dx.doi.org/10.12681/hnps.1809.

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This paper presents the development of a neutron noise simulator for fine-mesh applications.The neutron noise of power nuclear reactors deals with the fluctuations of the neutron flux that are induced by fluctuations or oscillations of the reactor properties, i.e. displacement of core components, temperature or density variations, etc. Since the appearance of these perturbations can be problematic for the operation of nuclear reactors, it is desirable to be able to analyze their possible effects. The comparison between the modelling of such perturbations and possible measurements also gives th

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26

Torres, L. A., D. Chionis, C. Montalvo, A. Dokhane, and A. García-Berrocal. "NEUTRON NOISE SPECTRAL FEATURES OF SIMULATED MECHANICAL AND THERMAL-HYDRAULIC PERTURBATIONS IN A PWR CORE." EPJ Web of Conferences 247 (2021): 21001. http://dx.doi.org/10.1051/epjconf/202124721001.

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KWU-PWR reactors (SIEMENS design) are commonly exhibiting high neutron noise levels that can lead to costly operational issues. Recent analysis seems to indicate that, coolant flow, temperature oscillations, and mechanical vibrations have a key impact on neutron noise phenomena. In order to advance in understanding this phenomenon, the transient nodal code SIMULATE-3K (S3K) has been already utilized to simulate scenarios with individual or combined types of perturbation sources: mechanical vibrations of fuel assemblies and thermal-hydraulic fluctuations at the core inlet. In this work, new sim

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27

Shirzad, Taghi, and Zaher‐Hossein Shomali. "Extracting Stable Seismic Core Phases from Ambient Seismic Noise." Bulletin of the Seismological Society of America 106, no. 1 (2015): 307–12. http://dx.doi.org/10.1785/0120150031.

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28

Mori, Michitsugu, Masaku Kaino, Shigeru Kanemoto, Mitsuhiro Enomoto, Shigeo Ebata, and Shigeaki Tsunoyama. "Development of advanced core noise monitoring system for BWRS." Progress in Nuclear Energy 43, no. 1-4 (2003): 43–49. http://dx.doi.org/10.1016/s0149-1970(03)00009-x.

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29

Butta, Mattia, Michal Přibil, and Pavel Ripka. "Noise dependence on temperature in fluxgates with electroplated core." Sensors and Actuators A: Physical 244 (June 2016): 310–13. http://dx.doi.org/10.1016/j.sna.2016.04.018.

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30

Přibil, Michal, Mattia Butta, and Pavel Ripka. "Noise Dependence on Temperature in Fluxgates with Electroplated Core." Procedia Engineering 120 (2015): 1221–24. http://dx.doi.org/10.1016/j.proeng.2015.08.834.

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31

Hayashi, Tetsuya, Toshiki Taru, Osamu Shimakawa, Takashi Sasaki, and Eisuke Sasaoka. "Uncoupled multi-core fiber enhancing signal-to-noise ratio." Optics Express 20, no. 26 (2012): B94. http://dx.doi.org/10.1364/oe.20.000b94.

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32

Blin, StÉphane, Michel J. F. Digonnet, and Gordon S. Kino. "Noise Analysis of an Air-Core Fiber Optic Gyroscope." IEEE Photonics Technology Letters 19, no. 19 (2007): 1520–22. http://dx.doi.org/10.1109/lpt.2007.903878.

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33

Jingzhu, Hu, Liu Dichen, Liao Qingfen, Yan Yang, and Liang Shanshan. "Electromagnetic vibration noise analysis of transformer windings and core." IET Electric Power Applications 10, no. 4 (2016): 251–57. http://dx.doi.org/10.1049/iet-epa.2015.0309.

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34

Nanju Na, Jinwoo Choi, M. Swaminathan, J. R. Libous, and D. P. O'Connor. "Modeling and simulation of core switching noise for ASICs." IEEE Transactions on Advanced Packaging 25, no. 1 (2002): 4–11. http://dx.doi.org/10.1109/tadvp.2002.1017678.

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35

Mauranyapin, Nicolas P., Lars S. Madsen, Larnii Booth, et al. "Quantum noise limited nanoparticle detection with exposed-core fiber." Optics Express 27, no. 13 (2019): 18601. http://dx.doi.org/10.1364/oe.27.018601.

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36

Skripnichenko, M. N., and I. A. Lipatov. "DESIGN AND VERIFICATION FLOW OF MULTI-STAGE SIGMA-DELTA ADC DIGITAL CORE." Issues of radio electronics, no. 8 (August 20, 2018): 56–63. http://dx.doi.org/10.21778/2218-5453-2018-8-56-63.

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There is a need for analog-to-digital converters with high signal-to-noise ratio and large signal bandwidth to solve a number of radiolocation problems. Developing such ADC is a challenge in the analog core, digital core and verification. The design flow of the digital core must take into account the possibility of changing the analog core specification at any design stage, provide the ability to quickly obtain the synthesizable RTL code of the device and conduct its functional verification. Automation tools were used to reduce the time spent on development and verification. This article descr

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37

Marusenkov, A. A. "A new method of fluxgate signal extraction." Information extraction and processing 2017, no. 45 (2017): 83–89. http://dx.doi.org/10.15407/vidbir2017.45.083.

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Using dedicated high-frequency measuring system the distribution of the Barkhausen jumps intensity along a reversal magnetization cycle was investigated for low noise fluxgate sensors of various core shapes. It is shown that Barkhausen (reversal magnetization) noise intensity is strongly inhomogeneous during an excitation cycle. In the traditional second harmonic fluxgate magnetometers the signals are extracted in the frequency domain, as a result, some average value of reversal magnetization noises is contributed to the output signals. In order to fit better the noise shape and minimize its t

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38

Ikegami, Takashi, and Takashi Hashimoto. "Active Mutation in Self-Reproducing Networks of Machines and Tapes." Artificial Life 2, no. 3 (1995): 305–18. http://dx.doi.org/10.1162/artl.1995.2.3.305.

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Self-reproduction via description is discussed in a network model of machines and description tapes. Tapes consist of bit strings, which encode the machines' function. A tape is replicated when it is read by adequate machines. Generally, a machine rewrites a tape without doing correct replication. The variation in a reproduced tape is taken as mutation. Because this mutation is caused by a machine's program, we call it active mutation. Which machine is translated from a given tape is dependent on what kind of a machine reads the tape. External noise is introduced in a machine's reading process

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39

Yu, Shengbao, Yiming Wei, Jialin Zhang, and Shilong Wang. "Noise Optimization Design of Frequency-Domain Air-Core Sensor Based on Capacitor Tuning Technology." Sensors 20, no. 1 (2019): 194. http://dx.doi.org/10.3390/s20010194.

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In the semi-aviation frequency-domain electromagnetic measurement, the induction air-core coil and the differential pre-amplifier circuit introduce noise, which affects the sensor and results in receiving weak signals and improving the signal-to-noise ratio of the system. In response to this problem, by analyzing the physical structure of the air-core coil sensor and the mechanism of the amplification circuit, combined with the simulation and experimental tests of voltage noise, current noise, resistance noise and other noise components, analyzed that the thermal noise is the main component of

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40

Wang, Xiaojing, Hao Liu, and Guojia Man. "Simulation and experimental study on cavitation and noise of hydraulic cone valve." Industrial Lubrication and Tribology 71, no. 2 (2019): 318–23. http://dx.doi.org/10.1108/ilt-02-2018-0066.

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PurposeAiming at the cavitations and noise problem of hydraulic cone valve and based on the radial force analysis of the valve core, the radial deviation of the spool is considered to obtain the changing rules of cavitations and noise.Design/methodology/approachThe solid model of the internal flow field of cone valve is established. The mesh models are divided using ICEM-CFD software. The numerical simulation of the liquid-gas two-phase flow is performed on the cavitation and noise of the flow field inside the cone valve based on FLUENT software. The visible experimental platform for cavitatio

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41

Verma, V., D. Chionis, A. Dokhane, and H. Ferroukhi. "MODELLING AND ANALYSIS OF FUEL ASSEMBLY VIBRATIONAL MODES IN PWRS USING SIMULATE-3K." EPJ Web of Conferences 247 (2021): 21008. http://dx.doi.org/10.1051/epjconf/202124721008.

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Some of the KWU pre-KONVOI PWRs operating across Europe saw a systematic increase in the neutron noise levels over several cycles in the last decade, and subsequently, core internals’ movements, especially vibrations of fuel assemblies with specific designs were identified as one of the plausible causes. Therefore, it is important to develop computational methods that can allow to investigate and predict the reactor noise response to fuel assemblies vibrations. To this aim, the 3D nodal reactor dynamics code SIMULATE-3K is used at PSI with a special module called the ‘assembly vibration model’

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42

Coillot, C., J. Moutoussamy, M. Boda, and P. Leroy. "New ferromagnetic core shapes for induction sensors." Journal of Sensors and Sensor Systems 3, no. 1 (2014): 1–8. http://dx.doi.org/10.5194/jsss-3-1-2014.

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Abstract. Induction sensors are used in a wide range of scientific and industrial applications. One way to improve these is rigorous modelling of the sensor combined with a low voltage and current input noise preamplifier aiming to optimize the whole induction magnetometer. In this paper, we explore another way, which consists in the use of original ferromagnetic core shapes of induction sensors, which bring substantial improvements. These new configurations are the cubic, orthogonal and coiled-core induction sensors. For each of them we give modelling elements and discuss their benefits and d

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43

Nebhen, Jamel, Pietro M. Ferreira, and Sofiene Mansouri. "A Chopper Stabilization Audio Instrumentation Amplifier for IoT Applications." Journal of Low Power Electronics and Applications 10, no. 2 (2020): 13. http://dx.doi.org/10.3390/jlpea10020013.

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A low-noise instrumentation amplifier dedicated to a nano- and micro-electro-mechanical system (M&NEMS) microphone for the use in Internet of Things (IoT) applications is presented. The piezoresistive sensor and the electronic interface are respectively, silicon nanowires and an instrumentation amplifier. To design an instrumentation amplifier for IoT applications, different trade-offs are discussed like power consumption, gain, noise and sensitivity. Because the most critical noisy block is the amplifier, a delay-time chopper stabilization (CHS) technique is implemented around it to elimi

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44

Demazière, C., A. Mylonakis, P. Vinai, et al. "NEUTRON NOISE-BASED ANOMALY CLASSIFICATION AND LOCALIZATION USING MACHINE LEARNING." EPJ Web of Conferences 247 (2021): 21004. http://dx.doi.org/10.1051/epjconf/202124721004.

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A methodology is proposed in this paper allowing the classification of anomalies and subsequently their possible localization in nuclear reactor cores during operation. The method relies on the monitoring of the neutron noise recorded by in-core neutron detectors located at very few discrete locations throughout the core. In order to unfold from the detectors readings the necessary information, a 3-dimensional Convolutional Neural Network is used, with the training and validation of the network based on simulated data. In the reported work, the approach was also tested on simulated data. The s

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45

Ribeiro, Vítor, Abel Lorences-Riesgo, Peter Andrekson, and Magnus Karlsson. "Noise in phase-(in)sensitive dual-core fiber parametric amplification." Optics Express 26, no. 4 (2018): 4050. http://dx.doi.org/10.1364/oe.26.004050.

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46

Adorján, F., T. Czibók, S. Kiss, K. Krinizs, and J. Végh. "Core Asymmetry Evaluation using Static Measurements and Neutron Noise Analysis." Annals of Nuclear Energy 27, no. 7 (2000): 649–58. http://dx.doi.org/10.1016/s0306-4549(99)00112-7.

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47

Fields, J. M., R. de Jong, A. L. Brown, et al. "GUIDELINES FOR REPORTING CORE INFORMATION FROM COMMUNITY NOISE REACTION SURVEYS." Journal of Sound and Vibration 206, no. 5 (1997): 685–95. http://dx.doi.org/10.1006/jsvi.1997.1144.

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48

RUBIOLO, Pablo R., and Michael Y. YOUNG. "Characterization of Unsteady Core Flow Patterns through Noise Analysis Techniques." Journal of Power and Energy Systems 2, no. 1 (2008): 435–46. http://dx.doi.org/10.1299/jpes.2.435.

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49

Primdahl, F., B. Hernando, O. V. Nielsen, and J. R. Petersen. "Demagnetising factor and noise in the fluxgate ring-core sensor." Journal of Physics E: Scientific Instruments 22, no. 12 (1989): 1004–8. http://dx.doi.org/10.1088/0022-3735/22/12/009.

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50

Chang, Yeong-Hwa, Chang-Hung Hsu, Hung-Wei Lin, and Ching-Pei Tseng. "Reducing audible noise for distribution transformer with HB1 amorphous core." Journal of Applied Physics 109, no. 7 (2011): 07A318. http://dx.doi.org/10.1063/1.3553939.

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