Time-Frequency Analysis of Electrostatic Discharge Signal based on Wavelet Transform
Electrostatic discharge signal is a non-stationary signal whose frequency is varied with time. Time-frequency analysis is able to reveal the more useful information hidden in the ESD signal. In this letter, we propose a time-frequency analysis approach using the wavelet transform. Based on the Morlet wavelet, this paper analyzes the actual ESD signal and obtains its time-frequency characteristic. 2-D and 3-D ESD data are showed in this paper. The result shown that high frequency component of ESD can reach 0.6GHz. In addition, the energy of the measured signal is mainly concentrated in the range of 100 to 200 MHz. The high-frequency component attenuations rapidly and the low-frequency duration is relatively long. It can provide some new idea for extraction or signal denoising.
C. Cheng et al., "Time-Frequency Analysis of Electrostatic Discharge Signal based on Wavelet Transform," Proceedings of the 2018 12th International Conference on Anti-Counterfeiting, Security and Identification (2018, Xiamen, China), pp. 35-38, IEEE Computer Society, Nov 2018.
The definitive version is available at https://doi.org/10.1109/ICASID.2018.8693107
2018 12th International Conference on Anti-Counterfeiting, Security and Identification, ASID (2018: Nov. 9-11, Xiamen, China)
Electrical and Computer Engineering
Keywords and Phrases
Electrostatic devices; Electrostatic discharge; Electrostatics; High frequency components; Low-frequency; Measured signals; Morlet Wavelet; Nonstationary signals; Time frequency analysis; Time frequency characteristics; Time-frequency analysis approaches; Wavelet transforms; Time-frequency analysis
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2018 IEEE Computer Society, All rights reserved.