TY - GEN
T1 - Audiosonic Acoustic Detection of Air Corona Discharge based on Fast Fourier Transform
AU - Wahyudi, Mochammad
AU - Tumiran,
AU - Yulistya Negara, I. Made
AU - Akhmad Setiawan, Noor
AU - Sugiyantoro, Bambang
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - In this paper, acoustic emission in audiosonic range of air corona discharge was detected by using fast Fourier transform (FFT). A microphone was employed to record the acoustic signal of corona that was generated by using a needle-plane electrode with air gap. A high frequency current transformer (HFCT) sensor was used to acquire the partial discharge (PD) current pulses. Furthermore, the PD current pulses were correlated to the recorded acoustic signal. The given ac voltage stress was increased until the light spot appeared on the tip of the needle. The results showed that the acoustic emission of corona could easily be detected by using FFT. Based on the frequency spectrum of acoustic signal, the presence of corona was seen on the high frequency, whereas the noise was found on the low frequency. The high frequency amplitudes created a unique pattern like hilly shapes. Hence, the high pass filter that was applied to the acoustic signal was effective to separate the acoustic signal of corona from the noise. The higher voltage stress, the more visible PD current pulse and the greater high frequency amplitude of acoustic frequency spectrum. However, the occurrence of corona was firstly known by its PD current pulse rather than its acoustic signal.
AB - In this paper, acoustic emission in audiosonic range of air corona discharge was detected by using fast Fourier transform (FFT). A microphone was employed to record the acoustic signal of corona that was generated by using a needle-plane electrode with air gap. A high frequency current transformer (HFCT) sensor was used to acquire the partial discharge (PD) current pulses. Furthermore, the PD current pulses were correlated to the recorded acoustic signal. The given ac voltage stress was increased until the light spot appeared on the tip of the needle. The results showed that the acoustic emission of corona could easily be detected by using FFT. Based on the frequency spectrum of acoustic signal, the presence of corona was seen on the high frequency, whereas the noise was found on the low frequency. The high frequency amplitudes created a unique pattern like hilly shapes. Hence, the high pass filter that was applied to the acoustic signal was effective to separate the acoustic signal of corona from the noise. The higher voltage stress, the more visible PD current pulse and the greater high frequency amplitude of acoustic frequency spectrum. However, the occurrence of corona was firstly known by its PD current pulse rather than its acoustic signal.
KW - PRPD
KW - air corona discharge
KW - audiosonic acoustic detection
KW - fast Fourier transform (FFT)
KW - high pass filter
UR - http://www.scopus.com/inward/record.url?scp=85082024258&partnerID=8YFLogxK
U2 - 10.1109/ICHVEPS47643.2019.9011029
DO - 10.1109/ICHVEPS47643.2019.9011029
M3 - Conference contribution
AN - SCOPUS:85082024258
T3 - Proceedings of the 2nd International Conference on High Voltage Engineering and Power Systems: Towards Sustainable and Reliable Power Delivery, ICHVEPS 2019
BT - Proceedings of the 2nd International Conference on High Voltage Engineering and Power Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2019
Y2 - 1 October 2019 through 4 October 2019
ER -