Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system

Thayoob, Yasmin Hanum Md; Abidin, Nur Faizah; Zakaria, Z.; Ramli, Ahmad Qisti; Lee, Chai Min

doi:10.1109/scored.2010.5704027

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Most of them are based on the definition of a threshold value, that is, when a characteristic of the signal overpasses a pre-defined value, the event is classified as a burst. This type of approach has been widely used for AE burst detection (Stern, 1972;Choudhury and Tandon, 2000;Thayoob et al, 2010;Nienhaus et al, 2012;Keshtgar and Modarres, 2013;Vicun˜a and Ho¨weler, 2013;Lopes et al, 2017;).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of acoustic emission burst detection methods in a gearbox under different operating conditions

Leaman

Niedringhaus

Hinderer

et al. 2018

Journal of Vibration and Control

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In account of its abilities to follow the damage progression, also at early stages, the acoustic emission (AE) analysis has become an attractive technique for machine condition monitoring. An AE analysis involves the detection of transients within the signals, which are called AE bursts. Traditional methods for AE burst detection are based on the definition of threshold values. When the machine under analysis works under variable operating conditions, threshold-based methods could lead to poor results due to the influence of these conditions on the AE generation. The present work compares the ability of three AE burst detection methods in a planetary gearbox working under different rotational speeds and loads. The results showed that performance could be significantly improved by using factors of the root mean square value as threshold values instead of fixed values. Among the evaluated methods, the method that includes demodulation and differentiation as a signal processing technique had the best performance overall.

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Section: Introductionmentioning

confidence: 99%

Evaluation of acoustic emission burst detection methods in a gearbox under different operating conditions

Leaman

Niedringhaus

Hinderer

et al. 2018

Journal of Vibration and Control

View full text Add to dashboard Cite

show abstract

Ultraczułe przetworniki emisji akustycznej zoptymalizowane do monitoringu wyładowań niezupełnych w transformatorach

Sikorski

2016

ELECTROTECHNICAL REVIEW

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Ultraczułe przetworniki emisji akustycznej zoptymalizowane do monitoringu wyładowań niezupełnych w transformatorach Streszczenie. W artykule omówiono prototypowe przetworniki emisji akustycznej, które zostały zoptymalizowane do detekcji i monitoringu wyładowań niezupełnych (wnz) w transformatorach energetycznych. Ich wysoka czułość została potwierdzona w badaniach modelowych wnz, w których dla porównania zastosowano popularne przetworniki komercyjne. Ponadto w artykule omówiono kwestię charakterystycznych częstotliwości sygnałów emisji akustycznej generowanych przez wysokoenergetyczne formy wyładowań niezupełnych (ślizgowych, międzyzwojowych, powierzchniowych, w kanale olejowym).

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Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system

Cited by 2 publications

References 4 publications

Evaluation of acoustic emission burst detection methods in a gearbox under different operating conditions

Evaluation of acoustic emission burst detection methods in a gearbox under different operating conditions

Ultraczułe przetworniki emisji akustycznej zoptymalizowane do monitoringu wyładowań niezupełnych w transformatorach

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