2013
DOI: 10.1016/j.ijepes.2013.03.004
|View full text |Cite
|
Sign up to set email alerts
|

Phase determination of partial discharge source in three-phase transmission lines using discrete wavelet transform and probabilistic neural networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 16 publications
(2 citation statements)
references
References 34 publications
0
2
0
Order By: Relevance
“…By processing the measured PD signal, information can be obtained about the shape and position of the voids. Physical characteristics of the voids significantly affect the PD features [8–11 ]. Since PD cannot be measured directly, it can be measured through its energy products like electrical passers, chemical changes, electromagnetic diffusion, vibration, sound, light and heat.…”
Section: Introductionmentioning
confidence: 99%
“…By processing the measured PD signal, information can be obtained about the shape and position of the voids. Physical characteristics of the voids significantly affect the PD features [8–11 ]. Since PD cannot be measured directly, it can be measured through its energy products like electrical passers, chemical changes, electromagnetic diffusion, vibration, sound, light and heat.…”
Section: Introductionmentioning
confidence: 99%
“…PD pulse waveform after propagation will change. So the research of waveform characteristic for PD recognition and separation cannot be applied to the actual cable system [2]- [6].…”
Section: Introductionmentioning
confidence: 99%