Improved Teager Energy Operator and Improved Chirp-Z Transform for Parameter Estimation of Voltage Flicker

Li, Feng; Gao, Yunpeng; Cao, Yijia; Iravani, Reza

doi:10.1109/tpwrd.2015.2448943

Cited by 28 publications

(13 citation statements)

References 29 publications

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“…Because redundancy is introduced in signal representation, the relevant dictionary is called as redundant Fourier Dictionary (RFD). A few efficient implementation using RFD have been developed, such as Goertzel algorithm ( 17), chirp-Z transform (18) and zero padded FFT (19). Among these implementations, the combination of zero padding and FFT algorithm is usually adopted for computing redundant Fourier spectra, in which the RFD is composed of uniformly spaced spectral bins.…”

Section: Redundant Fourier Dictionary For Spectral Analysismentioning

confidence: 99%

Adaptive Sparse Detector for Suppressing Powerline Component in EEG Measurements

Chen

Zheng

Wang

et al. 2021

Front. Public Health

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Powerline interference (PLI) is a major source of interference in the acquisition of electroencephalogram (EEG) signal. Digital notch filters (DNFs) have been widely used to remove the PLI such that actual features, which are weak in energy and strongly connected to brain states, can be extracted explicitly. However, DNFs are mathematically implemented via discrete Fourier analysis, the problem of overlapping between spectral counterparts of PLI and those of EEG features is inevitable. In spite of their effectiveness, DNFs usually cause distortions on the extracted EEG features, which may lead to incorrect diagnostic results. To address this problem, we investigate an adaptive sparse detector for reducing PLI. This novel approach is proposed based on sparse representation inspired by self-adaptive machine learning. In the coding phase, an overcomplete dictionary, which consists of redundant harmonic waves with equally spaced frequencies, is employed to represent the corrupted EEG signal. A strategy based on the split augmented Lagrangian shrinkage algorithm is employed to optimize the associated representation coefficients. It is verified that spectral components related to PLI are compressed into a narrow area in the frequency domain, thus reducing overlapping with features of interest. In the decoding phase, eliminating of coefficients within the narrow band area can remove the PLI from the reconstructed signal. The sparsity of the signal in the dictionary domain is determined by the redundancy factor. A selection criteria of the redundancy factor is suggested via numerical simulations. Experiments have shown the proposed approach can ensure less distortions on actual EEG features.

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Section: Redundant Fourier Dictionary For Spectral Analysismentioning

confidence: 99%

Adaptive Sparse Detector for Suppressing Powerline Component in EEG Measurements

Chen

Zheng

Wang

et al. 2021

Front. Public Health

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“…Method with standard z-transform as described in [24], [30]; b. Method with matched z-transform as described in [30]; c. A group of methods with bilinear z-transform [31], [32].…”

Section: Analysis Of Digital Filters For Microprocessor Relays 41 Mmentioning

confidence: 99%

Selection of Digital Filter for Microprocessor Protection Relays

Solovev¹

2018

IJECE

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The article considers some issues related to replacement of electromechanical relays used for protection of power facilities with microprocessor relays. One of the urgent problems connected with implementation of microprocessor overcurrent protections is how to use current transducers other than usual current transformers and in particular Rogowski coils that become more and more widespread. In the article are compared twelve methods of synthesis of a digital filter basing on the analog prototype -second-order integrating filter. The bilinear filter and Boxer-Thaler filters are analyzed in respect to their use in microprocessor relays. Basing on the research results a technique for selection of parameters of digital integrating filters for microprocessor relays is proposed. Simulation results show that Boxer-Thaler and bilinear filters have better accuracy during transient current measurements than the analog filter. The study allows concluding that in many cases the digital second-order bilinear filter is the best choice for use in microprocessor relays.

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“…To overcome the inherent characteristics of FFT [18,19], the detection accuracy of voltage flicker can be effectively improved using windowing and interpolation methods [20,21]. The voltage flicker envelope extraction error may be reduced, using a voltage flicker detection method based on energy operator-based FFT [22]. Kalman filter can realise the extraction of the voltage flicker envelope signal, but it is difficult to accurately modulate the model parameters and has a large mathematical burden.…”

Section: Introductionmentioning

confidence: 99%

Simplified and fast method without considering filter for voltage flicker detection

Xia

Gao

et al. 2020

IET Generation, Transmission & Distribution

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Improved Teager Energy Operator and Improved Chirp-Z Transform for Parameter Estimation of Voltage Flicker

Cited by 28 publications

References 29 publications

Adaptive Sparse Detector for Suppressing Powerline Component in EEG Measurements

Adaptive Sparse Detector for Suppressing Powerline Component in EEG Measurements

Selection of Digital Filter for Microprocessor Protection Relays

Simplified and fast method without considering filter for voltage flicker detection

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