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Publicado por LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207465849 ISBN 13: 9786207465842
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207465849 ISBN 13: 9786207465842
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Añadir al carritoTaschenbuch. Condición: Neu. Neural Network based Throttle Controller for Compressor | Neural Network based Throttle Controller for Compressor | Divya M N | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207465842 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207465849 ISBN 13: 9786207465842
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ISBN 10: 6207465849 ISBN 13: 9786207465842
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Publicado por LAP LAMBERT Academic Publishing Mrz 2024, 2024
ISBN 10: 6207465849 ISBN 13: 9786207465842
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207465849 ISBN 13: 9786207465842
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Publicado por LAP Lambert Academic Publishing, 2024
ISBN 10: 6207465849 ISBN 13: 9786207465842
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The centrifugal Compressor is used in various industries, including oil, aerospace, and gas facilities, to increase pressure and oil output. If the Compressors are failed, then the entire system s production will be halted.The primary objective is to model .
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Mär 2024, 2024
ISBN 10: 6207465849 ISBN 13: 9786207465842
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The centrifugal Compressor is used in various industries, including oil, aerospace, and gas facilities, to increase pressure and oil output. If the Compressors are failed, then the entire system's production will be halted.The primary objective is to model the centrifugal Compressor with Anti-surge control (ASC) mechanism using neural networks to avoid surge issues and improve performance metrics. Different controllers like PID controller, followed by Fuzzy logic controller (FLC), Neuro-fuzzy controller (NFC) are incorporated in Anti surge control(ASC) mechanism for Compressor recycle system to realize the performance comparison. The modelling of the CRS with ASC mechanism is carried out using MATLAB Simulink environment. The simulation results like different flow rates, suction and plenum pressures, speed, and compressor maps are realized in detail for all the controller designs. The performance metrics error responses are analyzed in detail for CRS with ASC mechanism using different controllers. Based on the NNPC output response in the ASC mechanism of the CRS system, the OP position is adjacent to the Surge control line (SCL).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207465849 ISBN 13: 9786207465842
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 44,59
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The centrifugal Compressor is used in various industries, including oil, aerospace, and gas facilities, to increase pressure and oil output. If the Compressors are failed, then the entire system's production will be halted.The primary objective is to model the centrifugal Compressor with Anti-surge control (ASC) mechanism using neural networks to avoid surge issues and improve performance metrics. Different controllers like PID controller, followed by Fuzzy logic controller (FLC), Neuro-fuzzy controller (NFC) are incorporated in Anti surge control(ASC) mechanism for Compressor recycle system to realize the performance comparison. The modelling of the CRS with ASC mechanism is carried out using MATLAB Simulink environment. The simulation results like different flow rates, suction and plenum pressures, speed, and compressor maps are realized in detail for all the controller designs. The performance metrics error responses are analyzed in detail for CRS with ASC mechanism using different controllers. Based on the NNPC output response in the ASC mechanism of the CRS system, the OP position is adjacent to the Surge control line (SCL).