Generation of high voltages

Kuffel, E.

doi:10.1016/b978-075063634-6/50003-4

Cited by 98 publications

(135 citation statements)

References 4 publications

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“…The test procedure for obtaining the Volt-time (V-t) characteristics is by applying higher and higher levels of voltage and recording the flashover time 7 . The test circuit for this test is shown in Figure 2.…”

Section: Volt Time Characteristics Of An Insulatormentioning

confidence: 99%

Study on Steep Front Impulse Test Voltage Value of Disc Insulators with Variation in the Number of Units of Insulator String

Marimuthu

Dharmesh

Pandian

2023

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The insulators used in power transmission and distribution networks should withstand abnormal system-generated switching impulses and natural lightning impulses. To avoid the failure of insulators in the field, the impulse puncture strength evaluation of the ceramic insulators is important. IEC 61211 standard stipulates the procedure to evaluate the ceramic disc insulators’ strength to withstand steep front impulses. In this test, the test voltage is determined by using a short standard string of five insulators. This paper presents the variation in the impulse stresses across the disc insulator units in the string due to non-linear voltage distribution under impulse flashover. This paper also correlates the test voltage values defined by the IEC standard with the highest stress on insulator units under impulse flashover of string insulators by using voltage distribution. The correlation study has been carried out with insulator strings having different arcing distances by using a different number of units.

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Section: Volt Time Characteristics Of An Insulatormentioning

confidence: 99%

Study on Steep Front Impulse Test Voltage Value of Disc Insulators with Variation in the Number of Units of Insulator String

Marimuthu

Dharmesh

Pandian

2023

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“…high-voltage lines. For informational purposes, CIV is determined empirically by Peek's law and its refinements; the interested reader is directed to Peek [43] and Kuffel et al [44] for further information.…”

Section: (A) Control Parametersmentioning

confidence: 99%

Electrocharging face masks with corona discharge treatment

Bandi¹,

Ishizu²,

Kang³

2021

Proc. R. Soc. A.

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We detail an experimental method to electrocharge N95 facepiece respirators and face masks (FMs) made from a variety of fabrics (including non-woven polymer and knitted cloth) using corona discharge treatment (CDT). We present practical designs to construct a CDT system from commonly available parts and detail calibrations performed on different fabrics to study their electrocharging characteristics. After confirming the post-CDT structural integrity of fabrics, measurements showed that all non-woven polymer electret and only some knitted cloth fabrics are capable of charge retention. Whereas polymeric fabrics follow the well-known isothermal charging route, ion adsorption causes electrocharging in knitted cloth fabrics. Filtration tests demonstrate improved steady filtration efficiency in non-woven polymer electret filters. On the other hand, knitted cloth fabric filters capable of charge retention start with improved filtration efficiency which decays in time over up to 7 h depending on the fabric type, with filtration efficiency tracking the electric discharge. A rapid recharge for a few seconds ensures FM reuse over multiple cycles without degradation.

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“…Early detection or prediction of fault occurrence along with fault source identification would potentially avoid such dramatic consequences as appropriate risk mitigation measures could be put in place. Electrical power assets such as generators, motors and transformers are susceptible to electrical insulation problems [ 1 ] which can be manifested in the form of faults such as Partial Discharge (PD) and Arcing. PD is a sign of insulation degradation which is considered harmful for an asset, as once present it becomes a further source of accelerated insulation degradation [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Entropy-Based Feature Extraction for Electromagnetic Discharges Classification in High-Voltage Power Generation

Mitiche

Morison

Nesbitt

et al. 2018

Entropy

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This work exploits four entropy measures known as Sample, Permutation, Weighted Permutation, and Dispersion Entropy to extract relevant information from Electromagnetic Interference (EMI) discharge signals that are useful in fault diagnosis of High-Voltage (HV) equipment. Multi-class classification algorithms are used to classify or distinguish between various discharge sources such as Partial Discharges (PD), Exciter, Arcing, micro Sparking and Random Noise. The signals were measured and recorded on different sites followed by EMI expert's data analysis in order to identify and label the discharge source type contained within the signal. The classification was performed both within each site and across all sites. The system performs well for both cases with extremely high classification accuracy within site. This work demonstrates the ability to extract relevant entropy-based features from EMI discharge sources from time-resolved signals requiring minimal computation making the system ideal for a potential application to online condition monitoring based on EMI.

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Generation of high voltages

Cited by 98 publications

References 4 publications

Study on Steep Front Impulse Test Voltage Value of Disc Insulators with Variation in the Number of Units of Insulator String

Study on Steep Front Impulse Test Voltage Value of Disc Insulators with Variation in the Number of Units of Insulator String

Electrocharging face masks with corona discharge treatment

Entropy-Based Feature Extraction for Electromagnetic Discharges Classification in High-Voltage Power Generation

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