A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
Idioma: inglés
Editorial: Springer, Springer Mai 2014, 2014
- Tapa blanda
- Nuevo
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Vendedor de IberLibro desde 23 de enero de 2017
Condición: Nuevo
EUR 106,99
Cantidad disponible: 1 disponible
Añadir al carritoDescripción del artículo del vendedor
This item is printed on demand - Print on Demand Titel. Neuware -Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic environments. The measurement system described uses a single-tube capacitive sensor to obtain an instantaneous level reading of the fluid surface, thereby accurately determining the fluid quantity in the presence of slosh. A neural network based classification technique has been applied to predict the actual quantity of the fluid contained in a tank under sloshing conditions.In A neural network approach to fluid quantity measurement in dynamic environments, effects of temperature variations and contamination on the capacitive sensor are discussed, and the authors propose that these effects can also be eliminated with the proposed neural network based classification system. To examine the performance of the classification system, many field trials were carried out on a running vehicle at various tank volume levels that range from 5 L to 50 L. The effectiveness of signal enhancement on the neural network based signal classification system is also investigated. Results obtained from the investigation are compared with traditionally used statistical averaging methods, and proves that the neural network based measurement system can produce highly accurate fluid quantity measurements in a dynamic environment. Although in this case a capacitive sensor was used to demonstrate measurement system this methodology is valid for all types of electronic sensors.The approach demonstrated in A neural network approach to fluid quantity measurement in dynamic environments can be applied to a wide range of fluid quantity measurement applications in the automotive, naval and aviation industries to produce accurate fluid level readings. Students, lecturers, and experts will find the description of current research about accurate fluid level measurementin dynamic environments using neural network approach useful.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 152 pp. Englisch.…
N° de ref. del artículo 9781447161844
- Título
- A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
- Autor
- Edin Terzic
- Editorial
- Springer, Springer Mai 2014
- Año de publicación
- 2014
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 144716184X
- ISBN 13
- 9781447161844
- Peso del artículo
- 242 gramos
- Dimensiones
- 235x155x9 mm
Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic environments. The measurement system described uses a single-tube capacitive sensor to obtain an instantaneous level reading of the fluid surface, thereby accurately determining the fluid quantity in the presence of slosh. A neural network based classification technique has been applied to predict the actual quantity of the fluid contained in a tank under sloshing conditions.
In A neural network approach to fluid quantity measurement in dynamic environments, effects of temperature variations and contamination on the capacitive sensor are discussed, and the authors propose that these effects can also be eliminated with the proposed neural network based classification system. To examine the performance of the classification system, many field trials were carried out on a running vehicle at various tank volume levels that range from 5 L to 50 L. The effectiveness of signal enhancement on the neural network based signal classification system is also investigated. Results obtained from the investigation are compared with traditionally used statistical averaging methods, and proves that the neural network based measurement system can produce highly accurate fluid quantity measurements in a dynamic environment. Although in this case a capacitive sensor was used to demonstrate measurement system this methodology is valid for all types of electronic sensors.
The approach demonstrated in A neural network approach to fluid quantity measurement in dynamic environments can be applied to a wide range of fluid quantity measurement applications in the automotive, naval and aviation industries to produce accurate fluid level readings. Students, lecturers, and experts will find the description of current research about accurate fluid level measurementin dynamic environments using neural network approach useful.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Dr Edin Terzic is the Chief Manufacturing Engineer – Asia Pacific & Managing Director (CEO) of Powertrain at Delphi Automotive Systems Australia. He holds a Bachelor of Mechanical Engineering (with honors) , Master of Engineering in Computer Integrated Manufacturing and PhD in Automotive Engineering from Swinburne University of Technology. He has published number of technical papers in the area of Engineering Applications of Artificial Intelligence. He also holds several international patents in the area of automotive engineering and had success in commercialising most of his research. Areas of research include: artificial neural networks, intelligent sensors and non-contact inspection.
Dr Jenny Terzic is the Senior Manager and RLE Business Leader at Ford Motor Company - Asia Pacific and Africa. She holds a Bachelor of Mechanical Engineering (with honors), Master of Engineering in Computer Integrated Manufacturing and PhD in Automotive Engineering from Swinburne University of Technology. She has published number of technical papers in the area of Engineering Applications of Artificial Intelligence. Areas of research include: support vector machines, artificial neural networks, advance signal processing, intelligent sensors and non-contact inspection.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists.He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contactinspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Dr Jenny Terzic is the Senior Manager and RLE Business Leader at Ford Motor Company - Asia Pacific and Africa. She holds a Bachelor of Mechanical Engineering (with honors), Master of Engineering in Computer Integrated Manufacturing and PhD in Automotive Engineering from Swinburne University of Technology. She has published number of technical papers in the area of Engineering Applications of Artificial Intelligence. Areas of research include: support vector machines, artificial neural networks, advance signal processing, intelligent sensors and non-contact inspection.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporatingArtificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Dr Jenny Terzic is the Senior Manager and RLE Business Leader at Ford Motor Company - Asia Pacific and Africa. She holds a Bachelor of Mechanical Engineering (with honors), Master of Engineering inComputer Integrated Manufacturing and PhD in Automotive Engineering from Swinburne University of Technology. She has published number of technical papers in the area of Engineering Applications of Artificial Intelligence. Areas of research include: support vector machines, artificial neural networks, advance signal processing, intelligent sensors and non-contact inspection.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized researchgroup working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor basedprojects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoringand non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. ProfessorNagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
“Acerca de” puede pertenecer a otra edición de este título.
buchversandmimpf2000
Emtmannsberg, BAYE, Alemania
Vendedor de IberLibro desde 23 de enero de 2017
Tarifas de envío de Alemania a Estados Unidos de America
| Artículo | De 60 a 60 días hábiles | De 60 a 60 días hábiles |
|---|---|---|
| Primer artículo | EUR 60,00 | EUR 75,00 |
Métodos de pago
- Cheque
- PayPal
Descripción de la tienda
Impressum Thorsten Retsch Buchversand Mimpf2000 Oberölschnitz 16 95517 Emtmannsberg Deutschland Telefon: 09209-2023188 Email: mimpf2000@online.de USt-ID-Nr.: DE 235096871 Wir führen gebrauchte Bücher aus allen Sparten der Literatur
Especialidad
Modernes Antiquariat - Bücher von 1960 bis heuteInformación empresarial del vendedor
buchversandmimpf2000
Alemania
Condiciones de venta
Impressum
Gesetzliche Anbieterkennung:
Thorsten Retsch
Buchversand Mimpf2000
Oberölschnitz 16
95517 Emtmannsberg
Deutschland
Telefon: 092092023188
E-Mail: order@buchversandmimpf2000.de
USt-IdNr.: DE 235096871
Alternative Streitbeilegung:
Die Europäische Kommission stellt eine Plattform für die außergerichtliche Online-Streitbeilegung (OS-Plattform) bereit, aufrufbar unter http://ec.europa.eu/odr.
Derecho al desistimiento
Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona física que actúe con fines ajenos a su actividad comercial, empresarial, oficio o profesión.
Información sobre el derecho de desistimiento
Derecho legal de desistimiento
Tiene derecho a rescindir este contrato en un plazo de 14 días sin dar ningún motivo.
El periodo de desistimiento vencerá a los 14 días desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesión física del último bien o del último lote o pieza.
Para ejercer el derecho de desistimiento, complete de forma electrónica y envíe una declaración clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a través de un soporte duradero (por ejemplo, por correo electrónico).
Para cumplir con el plazo de desistimiento, basta con que envíe su comunicación relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.
Efectos del desistimiento
Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de envío (excepto los gastos adicionales que surjan si elige un tipo de envío que no sea el tipo de envío estándar más económico que ofrecemos).
Podemos hacer una deducción del reembolso por la pérdida de valor de cualquier bien suministrado, si la pérdida es el resultado de una manipulación innecesaria por su parte.
Efectuaremos el reembolso sin demoras indebidas y, a más tardar, 14 días después de que se nos informe de su decisión de rescindir este contrato.
Efectuaremos el reembolso utilizando el mismo medio de pago que utilizó para la transacción inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrirá en ningún cargo como resultado de dicho reembolso.
Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.
Deberá devolver los bienes o entregarlos a buchversandmimpf2000, Emtmannsberg, BAYE, Germany, +49 09209-2023188, sin demoras indebidas y, en cualquier caso, en un plazo máximo de 14 días a partir del día en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercancía antes de que venza el periodo de 14 días. Tendrá que asumir los gastos directos de devolución de los bienes. Usted solo es responsable de la disminución del valor de los bienes como resultado de una manipulación distinta a la necesaria para establecer la naturaleza, las características y el funcionamiento de los bienes.
Excepciones al derecho de desistimiento
El derecho de desistimiento no se aplica a lo siguiente:
- La entrega de periódicos, diarios o revistas, con la excepción de los contratos de suscripción; y
- El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, aceptó que podíamos empezar a entregarlo y que no podría desistir una vez iniciada la entrega.
Condiciones de envío
Soweit in der Artikelbeschreibung keine andere Frist angegeben ist, erfolgt die Lieferung der Ware innerhalb von 3-5 Werktagen nach Vertragsschluss, bei Vorauszahlung erst nach Eingang des vollständigen Kaufpreises und der Versandkosten. Alle Preise inkl. MwSt.