Detection and wavelet analysis of acoustic emission signal from partial discharge captured by multimode optical fiber and piezoelectric sensors in insulation oil
High-voltage transformer is the most critical and expensive component in a power system network in order to ensure the stability of the system. Partial discharge (PD) detection is a technique widely used for high voltage equipment insulation condition monitoring and assessment. In this paper, the ch...
Main Authors: | Yaacob, Mohd. Muhridza, Alsaedi, M. A., Abdul Rahman, Rosly, Bidin, Noriah, Maqbool, Wajaht, Al Geelani, Nasir A., Hosseinian, R. |
---|---|
Format: | Article |
Language: | English |
Published: |
Academic Journals
2013
|
Subjects: | |
Online Access: | http://eprints.utm.my/40400/1/MohdMuhridzaYaacob2013_DetectionandWaveletAnalysisofAcoustic.pdf |
Similar Items
-
Identification and extraction of surface discharge acoustic emission signals using wavelet neural network
by: Al-geelani, Nasir Ahmed, et al.
Published: (2012) -
A review on hybrid wavelet regrouping particle swarm optimization neural networks for characterization of partial discharge acoustic signals
by: Al-Geelani, Nasir Ahmed, et al.
Published: (2015) -
Identification of acoustic signals of corona discharges under different contamination levels using wavelet transform
by: Al-geelani, N. A., et al.
Published: (2017) -
Identification of acoustic signals of internal electric discharges on glass insulator under variable applied voltage
by: Al-Geelani, Nasir A., et al.
Published: (2016) -
Identification of acoustic signals of internal electric discharges on glass insulator under variable applied voltage
by: Al-Geelani, Nasir Ahmed, et al.
Published: (2015)