In this book, a comprehensive illustration of power system harmonic concept is first introduced for the discussion of total harmonic distortion (THD) and power factor (PF) in power systems. Following a brief review of passive filters and well-known active filters, the fundamental control principle and structure of the proposed adaptive filtering system are then presented. Secondly, an enhanced Fourier coefficient identification (E-FCI) algorithm for simultaneous multiple harmonic identification is developed. Based on this E-FCI, a parametric adaptive filter (voltage-type) that achieves efficient harmonic filtering is developed. Other contributions of this research include the design and implementation of non-parametric adaptive filters based on artificial intelligence topologies. The non-parametric adaptive filters, consisting of a variable voltage-type source controlled by neural network controllers as optimization tools, can generate the correct compensation current to compensate for the unstable line current harmonics under various speed operations of a DC variable- speed drive.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, a comprehensive illustration of power system harmonic concept is first introduced for the discussion of total harmonic distortion (THD) and power factor (PF) in power systems. Following a brief review of passive filters and well-known active filters, the fundamental control principle and structure of the proposed adaptive filtering system are then presented. Secondly, an enhanced Fourier coefficient identification (E-FCI) algorithm for simultaneous multiple harmonic identification is developed. Based on this E-FCI, a parametric adaptive filter (voltage-type) that achieves efficient harmonic filtering is developed. Other contributions of this research include the design and implementation of non-parametric adaptive filters based on artificial intelligence topologies. The non-parametric adaptive filters, consisting of a variable voltage-type source controlled by neural network controllers as optimization tools, can generate the correct compensation current to compensate for the unstable line current harmonics under various speed operations of a DC variable- speed drive. 172 pp. Englisch. N° de réf. du vendeur 9783843363358
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lin HsiungHsiung-Cheng Lin graduated from National Taiwan Normal University for his bachelor degree in 1986, Taiwan. He received Master and PhD degree from Swinburne University of Technology, Australia in 1995 and 2002, respective. N° de réf. du vendeur 5466289
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. ADAPTIVE TECHNIQUES TO POWER HARMONICS MEASUREMENT AND CONTROL | An enhanced FCI based parametric adaptive filter and intelligent neural network based non-parametric adaptive filters | Hsiung Lin | Taschenbuch | 172 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843363358 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107235604
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, a comprehensive illustration of power system harmonic concept is first introduced for the discussion of total harmonic distortion (THD) and power factor (PF) in power systems. Following a brief review of passive filters and well-known active filters, the fundamental control principle and structure of the proposed adaptive filtering system are then presented. Secondly, an enhanced Fourier coefficient identification (E-FCI) algorithm for simultaneous multiple harmonic identification is developed. Based on this E-FCI, a parametric adaptive filter (voltage-type) that achieves efficient harmonic filtering is developed. Other contributions of this research include the design and implementation of non-parametric adaptive filters based on artificial intelligence topologies. The non-parametric adaptive filters, consisting of a variable voltage-type source controlled by neural network controllers as optimization tools, can generate the correct compensation current to compensate for the unstable line current harmonics under various speed operations of a DC variable- speed drive.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 172 pp. Englisch. N° de réf. du vendeur 9783843363358
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, a comprehensive illustration of power system harmonic concept is first introduced for the discussion of total harmonic distortion (THD) and power factor (PF) in power systems. Following a brief review of passive filters and well-known active filters, the fundamental control principle and structure of the proposed adaptive filtering system are then presented. Secondly, an enhanced Fourier coefficient identification (E-FCI) algorithm for simultaneous multiple harmonic identification is developed. Based on this E-FCI, a parametric adaptive filter (voltage-type) that achieves efficient harmonic filtering is developed. Other contributions of this research include the design and implementation of non-parametric adaptive filters based on artificial intelligence topologies. The non-parametric adaptive filters, consisting of a variable voltage-type source controlled by neural network controllers as optimization tools, can generate the correct compensation current to compensate for the unstable line current harmonics under various speed operations of a DC variable- speed drive. N° de réf. du vendeur 9783843363358
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA75838433633586
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