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An Industrially useful means for decomposing and differentiation of harmonics components of periodic waveforms
Date
2000-10-12
Author
Dölen, Melik
Metadata
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This paper presents efficient methods to estimate the spectral content of (noisy) periodic waveforms that are common in industrial processes. The techniques presented, which are based on the recursive discrete Fourier transform, are especially useful in computing high-order derivatives of such waveforms. Unlike conventional differentiating techniques, the methods presented differentiate in the frequency domain and thus are quite immune to uncorrelated measurement noise. This paper also shows the theoretical relationship between the proposed methods and those of well-known resonant filters.
Subject Keywords
Power harmonic filters
,
Power system harmonics
,
Discrete fourier transforms
,
Industrial relations
,
Biomedical measurements
,
Resonance
,
Industrial power systems
,
Power system analysis computing
,
Harmonic analysis
,
Speech analysis
URI
https://hdl.handle.net/11511/86975
DOI
https://doi.org/10.1109/IAS.2000.881956
Conference Name
Conference Record of the 2000 IEEE Industry Applications Conference, 8-12 Oct. 2000 Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129)
Collections
Department of Mechanical Engineering, Conference / Seminar
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BibTeX
M. Dölen, “An Industrially useful means for decomposing and differentiation of harmonics components of periodic waveforms,” Rome, Italy, 2000, vol. 2, p. 1016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/86975.
