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

被引：0

作者：

Abadie, Cedric ^{[1
,2
]}

Billard, Thibaut ^{[1
]}

Lebey, Thierry ^{[2
]}

机构：

[1] Technol Res Inst IRT St Exupery, 118 Route Narbonne, F-31432 Toulouse, France

[2] CNRS UPS INP, LAPLACE Lab, 118 Route Narbonne, F-31432 Toulouse, France

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON DIELECTRICS (ICD), VOLS 1-2 | 2016年

关键词：

Partial discharge; square voltage; wavelet; automated method; LOW-PRESSURES; ARGON; AIR;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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

引用

页码：540 / 543

页数：4

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