Wavelet base selection for de‐noising and extraction of partial discharge pulses in noisy environment

Altay, Özkan; Kalenderli, Özcan

doi:10.1049/iet-smt.2013.0114

Cited by 42 publications

(25 citation statements)

References 15 publications

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“…The method was proposed by [6]. The selection criterion of the mother wavelet rests on the energy and entropy of each of the levels of decomposition.…”

Section: A Mother Wawelet Choicementioning

confidence: 99%

Numerical signal processing methods for partial discharge detection in more electrical aircraft

Abadie

Billard²,

Lebey

2016

2016 IEEE International Conference on Dielectrics (ICD)

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In forecoming "more electrical aircrafts", aircrafts will become more compact and lighter. Hydraulic, pneumatic or mechanical systems will be replaced by electrical ones thus leading to an increased demand of electric power. The network voltage is expected to increase far above Paschen's minimum, thus increasing the risk of partial discharges. Furthermore the use of inverter drives will be generalized and PD detection on square voltage powered equipments will become a mandatory challenge. The purpose of this study is to propose a method to denoise partial discharge signals embedded in the electromagnetic noise induced by switchings. This denoising is performed using the wavelet decomposition

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“…The method was proposed by [6]. The selection criterion of the mother wavelet rests on the energy and entropy of each of the levels of decomposition.…”

Section: A Mother Wawelet Choicementioning

confidence: 99%

Numerical signal processing methods for partial discharge detection in more electrical aircraft

Abadie

Billard²,

Lebey

2016

2016 IEEE International Conference on Dielectrics (ICD)

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“…Initially, wavelet denoising is typically conducted based on expertise of the operators [66]. To improve the automation and performance, great efforts have been made, various optimal mother wavelet selection methods have been proposed in the literature, such as correlation based [75,76], energy-based [67,77] and SNR-based approaches [77,78]. The determination of decomposition level was mainly on the basis of prior knowledge of the distribution of the signal energy in wavelet domain.…”

Section: Software-based Denoisingmentioning

confidence: 99%

“…An automatic approach was introduced in [79], where maximum decomposition level was set to that corresponding to the most informative sub-band. As well, references [77,78] introduced an energy ratio threshold-based method to determine the minimum decomposition level, which can retain significant energy of signal as well avoid excessive computational cost. To generate better results, the threshold rule is the last but hardest barrier.…”

Section: Software-based Denoisingmentioning

confidence: 99%

A Review of Online Partial Discharge Measurement of Large Generators

Luo

Wang³

2017

Energies

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Abstract:Online partial discharge (PD) measurements have long been used as an effective means to assess the condition of the stator windings of large generators. An increase in the use of PD online measurement systems during the last decade is evident. Improvements in the detection capabilities are partly the reason for the increased popularity. Another reason has been the development of digital signal processing techniques. In addition, rapid progress is being made in automated single PD source classification. However, there are still some factors hindering wider application of the system, such as the complex PD mechanism and PD pulse propagation in stator windings, the presence of detrimental noise and disturbances on-site, and multiple PD sources occurring simultaneously. To avoid repetition of past work and to provide an overview for fresh researchers in this area, this paper presents a comprehensive survey of the state-of-the-art knowledge on PD mechanism, PD pulse propagation in stator windings, PD signal detection methods and signal processing techniques. Areas for further research are also presented.

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“…[20]. It is therefore necessary to check whether this method is functional for denoising PDs occurring under PWM.…”

Section: Noise Suppression Improvementmentioning

confidence: 99%

Advanced Partial Discharge Testing of 540V Aeronautic Motors Fed by SiC Inverter under Altitude Conditions

Billard

Abadie

Taghia

2017

SAE Technical Paper Series

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Wavelet base selection for de‐noising and extraction of partial discharge pulses in noisy environment

Cited by 42 publications

References 15 publications

Numerical signal processing methods for partial discharge detection in more electrical aircraft

Numerical signal processing methods for partial discharge detection in more electrical aircraft

A Review of Online Partial Discharge Measurement of Large Generators

Advanced Partial Discharge Testing of 540V Aeronautic Motors Fed by SiC Inverter under Altitude Conditions

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