Impact of colored noise in pulse amplitude measurements: A time-domain approach using differintegrals

Regadío, Alberto; Tabero, Jesús; Prieto, Sebastián Sánchez

doi:10.1016/j.nima.2015.12.010

Cited by 10 publications

(4 citation statements)

References 18 publications

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“…While extracting engineering features from time-domain response signals, time series are vulnerable to noise, likely to be scaling or shifting [18]. The frequency-domain analysis of analog circuits can provide feature information that is more intuitive than time-domain waveform data.…”

Section: Feature Extractionmentioning

confidence: 99%

Application of Relative Entropy and Gradient Boosting Decision Tree to Fault Prognosis in Electronic Circuits

Zhou

Zhang

et al. 2018

Symmetry

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Fault prognosis of electronic circuits is the premise of guaranteeing normal operation of a system and carrying out on-condition maintenance. In this work, the remaining useful life (RUL) of electronic elements was estimated by selecting fault features based on variance, measuring fault severity based on relative entropy distance, and conducting fault prognosis based on the gradient boosting decision tree (GBDT) model. At first, the corresponding voltages of amplitude-frequency response, under conditions of changing full-band element parameters, were extracted, and then the frequency bands with large change amplitude were further selected based on variance. Afterwards, using relative entropy distance, the degradation of element parameters was measured, and then the RUL of electronic elements was diagnosed through regression analysis by GBDT. By comparing the data with those arising from the use of other distance-measuring methods, the relative entropy distance shows a larger change range and less apt to suffer interference from noise, which is favorable to subsequent regression prediction. The regression analysis through GBDT is easy to understand and conveniently applied in engineering practice. The application of the method proposed in the study in two examples of electronic circuits indicates that the prediction accuracy of the method for RUL of electronic elements is higher than that of the other distance-measuring methods, and its application in engineering practice is convenient.

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Section: Feature Extractionmentioning

confidence: 99%

Application of Relative Entropy and Gradient Boosting Decision Tree to Fault Prognosis in Electronic Circuits

Zhou

Zhang

et al. 2018

Symmetry

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“…The deconvoluted outputs of the original biexponential pulses need to be processed through pulse shaping, which can effectively reduce the electronic noise and increase the signal-to-noise ratio (SNR) [8,9]. Traditional pulse shaping methods include quasi-Gaussian, triangle, trapezoid, cusp-like, 1/f and so on [10][11][12][13].…”

Section: Pulse Shapingmentioning

confidence: 99%

Digital pulse deconvolution method for current tails of NaI(Tl) detectors

Zeng

Yang

et al. 2017

Chinese Phys. C

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“…When broadband signals [1] are used as an instrument to analyze periodic systems [2,3], in applications such as noise spectroscopy or with micro-and nano-elements, it is difficult to evaluate the quantitative values describing the electromagnetic field [1]. This condition is caused by the broadband signal and its interaction with the measured element.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore (and as already proposed above), noise, its evaluation, and relevant spectroscopy are pursued within astrophysics and astronomy [1,2], whereas the detection and evaluation of signals find use in the broad province of nuclear machinery and facilities [2]. Noise is regularly evaluated in electronics [6], especially as regards the high frequency bands between GHz and THz.…”

Section: Introductionmentioning

confidence: 99%

The Evaluation of Noise Spectroscopy Tests

Fiala

Drexler

Nespor

et al. 2016

Entropy

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Abstract:The paper discusses mathematical tools to evaluate novel noise spectroscopy based analysis and describes, via physical similarity, the mathematical models expressing the quantitative character of the modeled task. Using the Stefan-Boltzmann law, the authors indicate finding the spectral density of the radiated power of a hemisphere, and, for the selected frequency interval and temperature, they compare the simplified models with the expression of noise spectral density according to the Johnson-Nyquist formula or Nyquist's expression of the function of spectral density based on a derivation of Planck's law. The related measurements and evaluations, together with analyses of the noise spectroscopy of periodic resonant structures, are also outlined in the given context.

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Impact of colored noise in pulse amplitude measurements: A time-domain approach using differintegrals

Cited by 10 publications

References 18 publications

Application of Relative Entropy and Gradient Boosting Decision Tree to Fault Prognosis in Electronic Circuits

Application of Relative Entropy and Gradient Boosting Decision Tree to Fault Prognosis in Electronic Circuits

Digital pulse deconvolution method for current tails of NaI(Tl) detectors

The Evaluation of Noise Spectroscopy Tests

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