Accurate prediction of heat flux is desired in many transient aerospace and heat treatment applications. This is challenging since the heat flux?temperature integral relationship implicitly requires the time derivative of experimentally obtained temperature data. Noise in the temperature data causes unbounded numerical derivatives with increasing sampling rate. However, it has theoretically been demonstrated that a stable and accurate heat flux can be predicted using the time derivative of temperature (dT/dt) even in the presence of significant white noise. This motivates this work in developing a voltage?rate sensor interface for low-frequency applications in solid heat conducting bodies. The present concept is to amplitude modulate the voltage data and then differentiate them at a higher frequency. The voltage?rate interface, which is used in conjunction with an existing in situ temperature sensor, can deliver real-time heating rate with improved SNR, which is verified by both simulation and experiments. The SNR is also shown to improve with increasing sampling rate, which is an advantage of this interface.
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Jayanth Kruttiventi is currently working as an applications engineer at Texas Instruments. He had completed his Masters with specialization in analog VLSI from University of Tennessee Knoxville in 2008 and under graduation from JNTU university in India. His areas of interests include analog and mixed signal applications.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Accurate prediction of heat flux is desired in many transient aerospace and heat treatment applications. This is challenging since the heat flux temperature integral relationship implicitly requires the time derivative of experimentally obtained temperature data. Noise in the temperature data causes unbounded numerical derivatives with increasing sampling rate. However, it has theoretically been demonstrated that a stable and accurate heat flux can be predicted using the time derivative of temperature (dT/dt) even in the presence of significant white noise. This motivates this work in developing a voltage rate sensor interface for low-frequency applications in solid heat conducting bodies. The present concept is to amplitude modulate the voltage data and then differentiate them at a higher frequency. The voltage rate interface, which is used in conjunction with an existing in situ temperature sensor, can deliver real-time heating rate with improved SNR, which is verified by both simulation and experiments. The SNR is also shown to improve with increasing sampling rate, which is an advantage of this interface. 104 pp. Englisch. Codice articolo 9783838391663
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kruttiventi JayanthJayanth Kruttiventi is currently working as an applications engineer at Texas Instruments. He had completed his Masters with specialization in analog VLSI from University of Tennessee Knoxville in 2008 and under. Codice articolo 5419403
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Accurate prediction of heat flux is desired in many transient aerospace and heat treatment applications. This is challenging since the heat flux-temperature integral relationship implicitly requires the time derivative of experimentally obtained temperature data. Noise in the temperature data causes unbounded numerical derivatives with increasing sampling rate. However, it has theoretically been demonstrated that a stable and accurate heat flux can be predicted using the time derivative of temperature (dT/dt) even in the presence of significant white noise. This motivates this work in developing a voltage-rate sensor interface for low-frequency applications in solid heat conducting bodies. The present concept is to amplitude modulate the voltage data and then differentiate them at a higher frequency. The voltage-rate interface, which is used in conjunction with an existing in situ temperature sensor, can deliver real-time heating rate with improved SNR, which is verified by both simulation and experiments. The SNR is also shown to improve with increasing sampling rate, which is an advantage of this interface.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Codice articolo 9783838391663
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Accurate prediction of heat flux is desired in many transient aerospace and heat treatment applications. This is challenging since the heat flux temperature integral relationship implicitly requires the time derivative of experimentally obtained temperature data. Noise in the temperature data causes unbounded numerical derivatives with increasing sampling rate. However, it has theoretically been demonstrated that a stable and accurate heat flux can be predicted using the time derivative of temperature (dT/dt) even in the presence of significant white noise. This motivates this work in developing a voltage rate sensor interface for low-frequency applications in solid heat conducting bodies. The present concept is to amplitude modulate the voltage data and then differentiate them at a higher frequency. The voltage rate interface, which is used in conjunction with an existing in situ temperature sensor, can deliver real-time heating rate with improved SNR, which is verified by both simulation and experiments. The SNR is also shown to improve with increasing sampling rate, which is an advantage of this interface. Codice articolo 9783838391663
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Universal Voltage Rate Sensor Interface | Obtaining Time Derivative of Low Frequency signals with improved SNR | Jayanth Kruttiventi | Taschenbuch | 104 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838391663 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 107432599
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