Statistical characteristics and stochastic model of DC corona-generated sound pressure pulses from single corona source

Li, Xuebao; Cui, Xiang; Lu, Tiebing; Wang, Zhenguo; Zhang, Di; Ma, Wenzuo

doi:10.1109/tdei.2015.004940

Cited by 12 publications

(6 citation statements)

References 23 publications

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“…According to our previous work [26][27], once the statistical distributions of pulse amplitude and time interval were obtained, random numbers for describing the amplitude and time interval of sound pressure pulses can be generated. Then, the random sound pressure pulse trains can be constructed and simulated on the basis of typical waveform of single sound pressure pulse which can be expressed as…”

Section: Construction Of Sound Pressure Pulsesmentioning

confidence: 99%

“…According to our previous work [26–27], once the statistical distributions of pulse amplitude and time interval were obtained, random numbers for describing the amplitude and time interval of sound pressure pulses can be generated. Then, the random sound pressure pulse trains can be constructed and simulated on the basis of typical waveform of single sound pressure pulse which can be expressed as

p ()(, t) = ({, \begin{matrix} right leftthickmathspace.5em \\ p_{M 1} K_{1} ()(, e^{- α_{1} false(- t + t_{p 0} false)} - e^{- β_{1} false(- t + t_{p 0} false)}), 0 < t < t_{p 0} \\ p_{M 2} K_{2} ()(, e^{- α_{2} false(t - t_{p 0} false)} - e^{- β_{2} false(t - t_{p 0} false)}), t_{p 0} \leq t < t_{normald} \end{matrix})

where K 1 , K 2 , α 1 , α 2 , β 1 and β 2 are the fitting parameters, p M1 and p M2 are the positive and negative of the bipolar sound pressure pulses, respectively, t p0 is the zero‐crossing point of the positive sound pressure part, and t d is the duration time of the sound pressure pulse.…”

Section: Stochastic Simulation Of Sound Pressure Pulsesmentioning

confidence: 99%

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Statistical analysis of audible noise generated by AC corona discharge from single corona sources

Wang

et al. 2018

High Voltage

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Time-domain waveforms of sound pressure pulses generated by alternate current (AC) corona discharge from single corona sources are measured. The pulse amplitude and time interval of sound pressure pulses in positive and negative half cycles are analysed separately due to large differences of the sound pressure pulses in positive and negative half cycles. The influences of instantaneous voltages on the pulse amplitude and time interval are obtained, and statistical distributions of pulse amplitude and time interval are also obtained. Besides, empirical formulas of the pulse amplitude and time interval are derived by numerical fitting method. Based on the statistical results, stochastic simulation of the sound pressure pulses is conducted, and the validity of the simulated results is given by comparing the frequency-domain results and A-weighted sound pressure level (SPL) with the measured ones. Finally, the stochastic simulation method is used to discuss modulating influence of AC voltage on the tones emission from AC corona discharge. Besides, the influence of the measurement time on the resultant SPL is also discussed on the basis of the stochastic model. In order to insure the SPL independent of the measurement time, the measurement time should be larger than 0.2 s.

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Section: Construction Of Sound Pressure Pulsesmentioning

confidence: 99%

p ()(, t) = ({, \begin{matrix} right leftthickmathspace.5em \\ p_{M 1} K_{1} ()(, e^{- α_{1} false(- t + t_{p 0} false)} - e^{- β_{1} false(- t + t_{p 0} false)}), 0 < t < t_{p 0} \\ p_{M 2} K_{2} ()(, e^{- α_{2} false(t - t_{p 0} false)} - e^{- β_{2} false(t - t_{p 0} false)}), t_{p 0} \leq t < t_{normald} \end{matrix})

Section: Stochastic Simulation Of Sound Pressure Pulsesmentioning

confidence: 99%

Statistical analysis of audible noise generated by AC corona discharge from single corona sources

Wang

et al. 2018

High Voltage

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“…According to our previous work, 23 the corona-generated sound pressure pulses can be extracted through the speech enhancement method. Then, the reflection noise can be obtained on the basis of the time difference between corona-generated sound pressure pulse and its reflection sound wave from ground.…”

Section: A the De-noising Of The Measured Audible Noise In Time-domainmentioning

confidence: 99%

Propagation characteristics of audible noise generated by single corona source under positive DC voltage

Cui

et al. 2017

AIP Advances

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The directivity and lateral profile of corona-generated audible noise (AN) from a single corona source are measured through experiments carried out in the semi-anechoic laboratory. The experimental results show that the waveform of corona-generated AN consists of a series of random sound pressure pulses whose pulse amplitudes decrease with the increase of measurement distance. A single corona source can be regarded as a non-directional AN source, and the A-weighted SPL (sound pressure level) decreases 6 dB(A) as doubling the measurement distance. Then, qualitative explanations for the rationality of treating the single corona source as a point source are given on the basis of the Ingard’s theory for sound generation in corona discharge. Furthermore, we take into consideration of the ground reflection and the air attenuation to reconstruct the propagation features of AN from the single corona source. The calculated results agree with the measurement well, which validates the propagation model. Finally, the influence of the ground reflection on the SPL is presented in the paper.

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“…Yi and Zhang proposed an acoustic source model to simulate the sound pressure pulse of positive DC corona discharge [23]. The references [20][21][22][23] mainly discussed the mechanism of audible noise, and it is difficult to predict the AN level of practical transmission lines by using the obtained conclusions due to the complexities of wide area calculation.…”

Section: Introductionmentioning

confidence: 99%

“…Lu and Chen discussed the consistency analysis between the electric field and AN caused by UHV test lines and transmission lines [18,19]. Li and Cui investigated the time-domain characteristics of AN produced by corona from DC conductors, then the correlation between audible noise and corona current was discussed in detail [20][21][22]. Yi and Zhang proposed an acoustic source model to simulate the sound pressure pulse of positive DC corona discharge [23].…”

Section: Introductionmentioning

confidence: 99%

Audible Noise Performance of Conductor Bundles Based on Cage Test Results and Comparison with Long Term Data

Wan

Pei

et al. 2017

Energies

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Abstract:A reasonable acoustic power formula is vital to precisely evaluate the audible noise (AN) level of ultra-high-voltage (UHV) AC power lines. This study derived a formula by taking several AN measurements under heavy rain conditions, using multiple conductor bundles in a UHV corona cage, and then subjecting these measured values to least squares fitting. The validity of the proposed formula was subsequently verified with statistical data obtained from two long-term stations at Henan and Hubei Province, which are located under the Jindongnan-Nanyang-Jingmen UHV AC transmission lines operating at 1000 kV. The deviation between the prediction and the long-term (L50) value was 0.76 dB for the Henan station and 0.17 dB for the Hubei station. It shows that the acoustic power formula derived in this paper is more accurate than the widely used Bonneville Power Administration formula, in which the corresponding deviations are much larger (3.07 and 2.53 dB).

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Statistical characteristics and stochastic model of DC corona-generated sound pressure pulses from single corona source

Cited by 12 publications

References 23 publications

Statistical analysis of audible noise generated by AC corona discharge from single corona sources

Statistical analysis of audible noise generated by AC corona discharge from single corona sources

Propagation characteristics of audible noise generated by single corona source under positive DC voltage

Audible Noise Performance of Conductor Bundles Based on Cage Test Results and Comparison with Long Term Data

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