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Z. Ren, G. S. Hu, W. Y. Huang and F. F. Zhu, “Motor Fault Signals Denosing Based on Chirplet Transform,” Transactions of China Electrotechnical Society, Vol. 17, No. 3, 2002, pp. 59-62.

has been cited by the following article:

• TITLE: An Improved Chirplet Transform and Its Application for Harmonics Detection

  AUTHORS: Guo-Sheng Hu, Feng-Feng Zhu

  KEYWORDS: Harmonics, Improved Chirplet Transform (ICT), S-Transform, Time-Frequency Representation (TFR)

  JOURNAL NAME: Circuits and Systems, Vol.2 No.3, July 5, 2011

  ABSTRACT: The chirplet transform is the generalization form of fast Fourier transform , short-time Fourier transform, and wavelet transform. It has the most flexible time frequency window and successfully used in practices. However, the chirplet transform has not inherent inverse transform, and can not overcome the signal reconstructing problem. In this paper, we proposed the improved chirplet transform (ICT) and constructed the inverse ICT. Finally, by simulating the harmonic voltages, The power of the improved chirplet transform are illustrated for harmonic detection. The contours clearly showed the harmonic occurrence time and harmonic duration.