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Monitoring of Time Varying Harmonics | Microcontroller based Implmentation | Sandhya Sharma (u. a.) | Taschenbuch | 92 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200295491 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 117479206
Power quality has gained increased importance in power industry in the last two decades. The quality of power is getting affected due to use of power electronic converters and all types of dynamic and non-linear loads. Harmonic pollution increases plant downtimes and power losses. Harmonics of an electrical signal is the content of the signal whose frequency is an integer multiple of the fundamental system frequency. In power system, harmonic analysis is used to determine the impact of harmonic producing load on the power system. This is widely used for system planning, equipment design, troubleshooting etc. The effect of harmonics on a power system can be in the form of power efficiency reduction, overheating in conductors, ageing of electrical insulation, etc. There are several algorithms for harmonic analysis. The Fast Fourier Transform (FFT) is the most widely used computation algorithm. FFT is an efficient algorithm used to compute Discrete Fourier Transform (DFT). DFT uses a finite set of discrete-time samples of an analog signal and produces a finite set of discrete-frequency magnitude spectrum values.
Über die Autorin bzw. den Autor: Sandhya Sharma is a passionate and dedicated final-year BDS student at SGT Dental College, SGT University, Gurugram with a keen interest in the science and evolution of the human smile. This book reflects her curiosity and dedication to exploring the smile from both scientific and cultural perspectives.
Titel: Monitoring of Time Varying Harmonics | ...
Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2019
Einband: Taschenbuch
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Anbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma SandhyaI am pusuing my PhD in the field of Microwave Antenna. I have an industrial experience of 10 years and academeic experience of 19 years .Power quality has gained increased importance in power industry in the last tw. Bestandsnummer des Verkäufers 385887606
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Taschenbuch. Zustand: Neu. Neuware -Power quality has gained increased importance in power industry in the last two decades. The quality of power is getting affected due to use of power electronic converters and all types of dynamic and non-linear loads. Harmonic pollution increases plant downtimes and power losses. Harmonics of an electrical signal is the content of the signal whose frequency is an integer multiple of the fundamental system frequency. In power system, harmonic analysis is used to determine the impact of harmonic producing load on the power system. This is widely used for system planning, equipment design, troubleshooting etc. The effect of harmonics on a power system can be in the form of power efficiency reduction, overheating in conductors, ageing of electrical insulation, etc. There are several algorithms for harmonic analysis. The Fast Fourier Transform (FFT) is the most widely used computation algorithm. FFT is an efficient algorithm used to compute Discrete Fourier Transform (DFT). DFT uses a finite set of discrete-time samples of an analog signal and produces a finite set of discrete-frequency magnitude spectrum values.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Bestandsnummer des Verkäufers 9786200295491
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Power quality has gained increased importance in power industry in the last two decades. The quality of power is getting affected due to use of power electronic converters and all types of dynamic and non-linear loads. Harmonic pollution increases plant downtimes and power losses. Harmonics of an electrical signal is the content of the signal whose frequency is an integer multiple of the fundamental system frequency. In power system, harmonic analysis is used to determine the impact of harmonic producing load on the power system. This is widely used for system planning, equipment design, troubleshooting etc. The effect of harmonics on a power system can be in the form of power efficiency reduction, overheating in conductors, ageing of electrical insulation, etc. There are several algorithms for harmonic analysis. The Fast Fourier Transform (FFT) is the most widely used computation algorithm. FFT is an efficient algorithm used to compute Discrete Fourier Transform (DFT). DFT uses a finite set of discrete-time samples of an analog signal and produces a finite set of discrete-frequency magnitude spectrum values. 92 pp. Englisch. Bestandsnummer des Verkäufers 9786200295491
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Power quality has gained increased importance in power industry in the last two decades. The quality of power is getting affected due to use of power electronic converters and all types of dynamic and non-linear loads. Harmonic pollution increases plant downtimes and power losses. Harmonics of an electrical signal is the content of the signal whose frequency is an integer multiple of the fundamental system frequency. In power system, harmonic analysis is used to determine the impact of harmonic producing load on the power system. This is widely used for system planning, equipment design, troubleshooting etc. The effect of harmonics on a power system can be in the form of power efficiency reduction, overheating in conductors, ageing of electrical insulation, etc. There are several algorithms for harmonic analysis. The Fast Fourier Transform (FFT) is the most widely used computation algorithm. FFT is an efficient algorithm used to compute Discrete Fourier Transform (DFT). DFT uses a finite set of discrete-time samples of an analog signal and produces a finite set of discrete-frequency magnitude spectrum values. Bestandsnummer des Verkäufers 9786200295491
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