An improved Hilbert-Huang transform method is developed to the time-frequency analysis of non-stationary signals in tokamak plasmas. Maximal overlap discrete wavelet packet transform rather than wavelet packet transform is proposed as a preprocessor to decompose a signal into various narrow-band components. Then, a correlation coefficient based selection method is utilized to eliminate the irrelevant intrinsic mode functions obtained from empirical mode decomposition of those narrow-band components. Subsequently, a time varying vector autoregressive moving average model instead of Hilbert spectral analysis is performed to compute the Hilbert spectrum, i.e., a three-dimensional time-frequency distribution of the signal. The feasibility and effectiveness of the improved Hilbert-Huang transform method is demonstrated by analyzing a non-stationary simulated signal and actual experimental signals in fusion plasmas.
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July 2014
Research Article|
July 15 2014
Time-frequency analysis of non-stationary fusion plasma signals using an improved Hilbert-Huang transform
Yangqing Liu;
Yangqing Liu
a)
Department of Engineering Physics,
Tsinghua University
, Beijing 100084, China
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Yi Tan;
Yi Tan
Department of Engineering Physics,
Tsinghua University
, Beijing 100084, China
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Huiqiao Xie;
Huiqiao Xie
Department of Engineering Physics,
Tsinghua University
, Beijing 100084, China
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Wenhao Wang;
Wenhao Wang
Department of Engineering Physics,
Tsinghua University
, Beijing 100084, China
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Zhe Gao
Zhe Gao
Department of Engineering Physics,
Tsinghua University
, Beijing 100084, China
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Rev. Sci. Instrum. 85, 073502 (2014)
Article history
Received:
March 12 2014
Accepted:
June 25 2014
Citation
Yangqing Liu, Yi Tan, Huiqiao Xie, Wenhao Wang, Zhe Gao; Time-frequency analysis of non-stationary fusion plasma signals using an improved Hilbert-Huang transform. Rev. Sci. Instrum. 1 July 2014; 85 (7): 073502. https://doi.org/10.1063/1.4887415
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