Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

An Advanced Filtering Method for Partial Discharge Measurement in the Presence of High dV/dt

Title data

Fürst, Markus ; Bakran, Mark-M.:
An Advanced Filtering Method for Partial Discharge Measurement in the Presence of High dV/dt.
2019
Event: PCIM Europe 2019 , 07.05.-09.05.2019 , Nürnberg.
(Conference item: Conference , Paper )

Abstract in another language

This paper introduces an advanced filter method enabling partial discharge (PD) detection at low apparent charge values during high dV/dt switching. Rising dV/dt results in higher switching noise frequencies. For sufficient damping of the switching noise, the cutoff frequency of the commonly used frequency filters in PD measurement systems has to rise too. This also weakens the desired PD signal resulting in a lower sensitivity. By filtering the sensor signal in the time domain, the signal-to-noise ratio can be improved. This
method uses a noise mask which is generated from the switching signals to suppress switching noise. The filter is examined in a H-bridge test setup stressing the insulation of a single tooth motor winding.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Mechatronics > Chair Mechatronics - Univ.-Prof. Dr.-Ing. Mark-M. Bakran
Profile Fields > Advanced Fields > Advanced Materials
Profile Fields > Emerging Fields > Energy Research and Energy Technology
Research Institutions > Research Units > ZET - Zentrum für Energietechnik
Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Mechatronics
Profile Fields
Profile Fields > Advanced Fields
Profile Fields > Emerging Fields
Research Institutions
Research Institutions > Research Units
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 13 Jun 2019 07:23
Last Modified: 13 Jun 2019 07:23
URI: https://eref.uni-bayreuth.de/id/eprint/49487