Normality and Correlation Coefficient in Estimation of Insulators’ Spectral Signature

Fontgalland, Glauco; Pedro, Haslan J. G.

doi:10.1109/lsp.2015.2390638

Cited by 13 publications

(4 citation statements)

References 19 publications

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“…And in special conditions, reaching the X-ray range (NGUYEN et al, 2009). Several studies have been carried out to assess the state of electrical components subject to high electric fields based on changes in their electromagnetic emissions (FONTGALLAND et al, 2004;ROCHA & FONTGALLAND, 2014;MOURA et al, 2014;FONTGALLAND & PEDRO, 2015;SARATHI et al, 2008). However, there is not much information about the spectral band emitted, which can be used to select the sensor's frequency band and the origin of electromagnetic interference (EMI) source as well.…”

Section: Theorymentioning

confidence: 99%

High Sensitivity Envelope Detector Assisted by Microwave Photonics

Gonçalves¹,

Ivo²,

Coutinho³

2022

Smart Systems: Theory and Advances

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Theory and Advances is licensed under CC BY 4.0.This license requires that reuses give credit to the creator. It allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, even for commercial purposes.The content of the work and its data in its form, correctness and reliability are the sole responsibility of the authors, and do not represent the official position of Amplla Publishing. Downloading and sharing of the work is permitted as long as credit is given to the authors. All rights to this edition were ceded to Editora Amplla.

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Section: Theorymentioning

confidence: 99%

High Sensitivity Envelope Detector Assisted by Microwave Photonics

Gonçalves¹,

Ivo²,

Coutinho³

2022

Smart Systems: Theory and Advances

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“…To ensure the accuracy of calculation, the correlation coefficients between earth tide and water level are first determined (TIMOFEEV et al 2012;FENG et al 2015;FONTGALLAND and PEDRO 2015), and the correlation coefficients are given in Table 1.…”

Section: Simple Linear Regression Model (Slr)mentioning

confidence: 99%

Comparison of Regression Methods to Compute Atmospheric Pressure and Earth Tidal Coefficients in Water Level Associated with Wenchuan Earthquake of 12 May 2008

Anhua

Singh

Sun

et al. 2016

Pure Appl. Geophys.

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The earth tide, atmospheric pressure, precipitation and earthquake fluctuations, especially earthquake greatly impacts water well levels, thus anomalous co-seismic changes in ground water levels have been observed. In this paper, we have used four different models, simple linear regression (SLR), multiple linear regression (MLR), principal component analysis (PCA) and partial least squares (PLS) to compute the atmospheric pressure and earth tidal effects on water level. Furthermore, we have used the Akaike information criterion (AIC) to study the performance of various models. Based on the lowest AIC and sum of squares for error values, the best estimate of the effects of atmospheric pressure and earth tide on water level is found using the MLR model. However, MLR model does not provide multicollinearity between inputs, as a result the atmospheric pressure and earth tidal response coefficients fail to reflect the mechanisms associated with the groundwater level fluctuations. On the premise of solving serious multicollinearity of inputs, PLS model shows the minimum AIC value. The atmospheric pressure and earth tidal response coefficients show close response with the observation using PLS model. The atmospheric pressure and the earth tidal response coefficients are found to be sensitive to the stress-strain state using the observed data for the period 1 April-8 June 2008 of Chuan 03# well. The transient enhancement of porosity of rock mass around Chuan 03# well associated with the Wenchuan earthquake (Mw = 7.9 of 12 May 2008) that has taken its original pre-seismic level after 13 days indicates that the co-seismic sharp rise of water well could be induced by static stress change, rather than development of new fractures.

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“…The large absolute value of r suggests that the relationship between variables is closer. The concrete corresponding relation is as follows: 14 If 0.00vjrjv0.30, there is a weak linear correlation. If 0.30vjrjv0.60, there is a moderate linear correlation.…”

Section: Evaluation Index Analysismentioning

confidence: 99%

“…The large absolute value of ρ suggests that the relationship between variables is closer. The concrete corresponding relation is as follows: 14 If 0.00 < < 0.30, there is a weak linear correlation. If 0.30 < < 0.60, there is a moderate linear correlation. If 0.60 < < 0.90, there is a strong linear correlation. If 0.90 < < 1.00, there is a very strong linear correlation. ρ( f in , f out ), ρ( v PP , f out ) and ρ( v PE , f out ) are calculated, and results are listed in Table 2. As illustrated in Table 2, when wire feedrate is regulated to a series of values, ρ( f in , f out ) is positive, ρ( v PP , f out ) and ρ( v PE , f out ) are negative, and the absolute values of them are higher than 0.60.…”

Section: Evaluation Index Analysismentioning

confidence: 99%

Novel stability evaluation for short circuiting transfer based on features of input power

Zhang

Wang

2016

Science and Technology of Welding and Joining

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An experimental platform of carbon dioxide arc welding, which is used to measure input and output electrical signals, is established. On the basis of input signals, an algorithm for instantaneous input power is introduced. By analysing the waves of instantaneous input power and output current, it is found that the peak of pulsating input power (PPIP) and the pulsating input energy (PIE) are basically consistent with the variation trend of the output current. hort circuiting transfer frequency, coefficient of variation for PPIP and coefficient of variation for PIE are calculated based on the input power characteristics with different wire feedrate . As a result, it shows that all of them can be used to evaluate the stability of short circuiting transfer process. In addition, the optimum method for evaluating the stability is identified, according to comparison of the Pearson correction coefficients, and the results demonstrate that the short circuiting transfer frequency is the best.

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Normality and Correlation Coefficient in Estimation of Insulators’ Spectral Signature

Cited by 13 publications

References 19 publications

High Sensitivity Envelope Detector Assisted by Microwave Photonics

High Sensitivity Envelope Detector Assisted by Microwave Photonics

Comparison of Regression Methods to Compute Atmospheric Pressure and Earth Tidal Coefficients in Water Level Associated with Wenchuan Earthquake of 12 May 2008

Novel stability evaluation for short circuiting transfer based on features of input power

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