Comparison of processing techniques for optimizing the diagnosis of solid insulation based on acoustic emissions from partial discharges

Rubio-Serrano, Jesus; Posada, Julio E.; Bua, Iago; García-Souto, José A.

doi:10.1109/icsd.2013.6619875

Cited by 2 publications

(2 citation statements)

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“…In the vicinity of discharge sources, the rise of temperature is due to PD current results in generating pressure waves, and these signals can be qualitatively captured through acoustic methods [98][99][100]. During the propagation time of a PD signal from source to the measuring sensor, the reflection, absorption, attenuation, refraction, and transmission process qualitatively form the basis of the acoustic measurement [95,100].…”

Section: Acoustic Methodsmentioning

confidence: 99%

Diagnostic aspects of partial discharge measurement at very low frequency: a review

Morsalin

Das

2020

IET Science, Measurement &Amp; Technology

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Electrical insulation of high voltage (HV) power equipment/apparatus plays very important roles in the sound functioning of power systems. Examining the insulation condition through partial discharge (PD) measurements has considerable importance as the presence of PDs in any HV systems stands for a sign of defects and degradations in electrical insulation. Generally, the PD measurements are performed with a supply voltage of normal power frequency (PF-50/60 Hz). As an attractive alternative, the PD measurement with a very low frequency (VLF-1 Hz or lower) applied voltage has emerged as a powerful diagnostic tool. A PD event is a random physical process, it depends mostly on the availability of free electrons that triggers the PD and the presence of space charge usually originated after a discharge. As the discharge characteristics vary with the supply voltage frequency; thus, the existing interpretation knowledge at 50 Hz may or may not be directly applicable to other test frequencies, particularly in the VLF range. Therefore, to provide a general insight, this paper presents various diagnostic aspects of PD measurements, and at the end, various discharge sources (e.g., void, surface, and corona) and their behaviours under varying the test voltage frequencies are discussed in detail.

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Section: Acoustic Methodsmentioning

confidence: 99%

Diagnostic aspects of partial discharge measurement at very low frequency: a review

Morsalin

Das

2020

IET Science, Measurement &Amp; Technology

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“…Other techniques are based on energy criterion or Akaike information criterion (AIC) [17], universal wavelet filtering (UWF) [7], and cross correlation with a pattern waveform that can be determined from wavelet components [22]. In this paper, the algorithm is based on an automatic peak detector in which the time instant is registered when 80% of the maximum peak is reached [23].…”

Section: Introductionmentioning

confidence: 99%

Instrumentation System for Location of Partial Discharges Using Acoustic Detection With Piezoelectric Transducers and Optical Fiber Sensors

Búa-Núñez

Posada-Román

Rubio-Serrano

et al. 2014

IEEE Trans. Instrum. Meas.

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Comparison of processing techniques for optimizing the diagnosis of solid insulation based on acoustic emissions from partial discharges

Cited by 2 publications

References 5 publications

Diagnostic aspects of partial discharge measurement at very low frequency: a review

Diagnostic aspects of partial discharge measurement at very low frequency: a review

Instrumentation System for Location of Partial Discharges Using Acoustic Detection With Piezoelectric Transducers and Optical Fiber Sensors

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