Wavelet Applications in Chemical Engineering: 272 (The Springer International Series in Engineering and Computer Science, 272) - Tapa dura

 
9780792394617: Wavelet Applications in Chemical Engineering: 272 (The Springer International Series in Engineering and Computer Science, 272)
Tapa dura
ISBN 10: 0792394615 ISBN 13: 9780792394617
Editorial: Springer, 1994

Sinopsis

Increasing emphasis on safety, productivity and quality control has provided an impetus to research on better methodologies for fault diagnosis, modeling, identification, control and optimization ofchemical process systems. One of the biggest challenges facing the research community is the processing of raw sensordata into meaningful information. Wavelet analysis is an emerging field of mathematics that has provided new tools and algorithms suited for the type of problems encountered in process monitoring and control. The concept emerged in the geophysical field as a result ofthe need for time-frequency analytical techniques. It has since been picked up by mathematicians and recognized as a unifying theory for many ofthe methodologies employed in the past in physics and signal processing. l Meyer states: "Wavelets are without doubt an exciting and intuitive concept. The concept brings with it a new way of thinking, which is absolutely essential and was entirely missing in previously existing algorithms. " The unification ofthe theory from these disciplines has led to applications of wavelet transforms in many areas ofscience and engineering including: • pattern recognition • signal analysis • time-frequency decomposition • process signal characterization and representation • process system modeling and identification • control system design, analysis and implementation • numerical solution ofdifferential equations • matrix manipulation About a year ago, in talking to various colleagues and co-workers, it became clear that a number of chemical engineers were fascinated with this new concept.

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Reseña del editor

Increasing emphasis on safety, productivity and quality control has provided an impetus to research on better methodologies for fault diagnosis, modeling, identification, control and optimization ofchemical process systems. One of the biggest challenges facing the research community is the processing of raw sensordata into meaningful information. Wavelet analysis is an emerging field of mathematics that has provided new tools and algorithms suited for the type of problems encountered in process monitoring and control. The concept emerged in the geophysical field as a result ofthe need for time-frequency analytical techniques. It has since been picked up by mathematicians and recognized as a unifying theory for many ofthe methodologies employed in the past in physics and signal processing. l Meyer states: "Wavelets are without doubt an exciting and intuitive concept. The concept brings with it a new way of thinking, which is absolutely essential and was entirely missing in previously existing algorithms. " The unification ofthe theory from these disciplines has led to applications of wavelet transforms in many areas ofscience and engineering including: · pattern recognition · signal analysis · time-frequency decomposition · process signal characterization and representation · process system modeling and identification · control system design, analysis and implementation · numerical solution ofdifferential equations · matrix manipulation About a year ago, in talking to various colleagues and co-workers, it became clear that a number of chemical engineers were fascinated with this new concept.

Reseña del editor

Wavelet analysis is an emerging field of applied mathematics that has provided new tools and algorithms for solving such problems as are encountered in fault diagnosis, modelling, identification, and control and optimization of chemical systems, where raw sensor data have to be processed into meaningful information. The theory has acquired the status of a unifying theory underlying many of the methods used in physics and signal processing.
Wavelet Applications in Chemical Engineering gives an insight into the many possible applications of time-frequency decomposition to the discipline of chemical engineering. It also includes tutorial chapters introducing wavelets and providing computational examples which will be especially helpful to readers new to the field.
For researchers and students investigating new tools to solve problems in process operation and control, process modeling and simulation, process optimization and sensor data interpretation, Wavelet Applications in Chemical Engineering is both a practical resource and a valuable reference.

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Editorial
Springer
Año de publicación
1994
Idioma
Inglés
ISBN 10 
0792394615
ISBN 13 
9780792394617
Encuadernación
Tapa dura
Número de páginas
348
Editor
Joseph Babu, Motard Rodolphe L.
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9781461361664: Wavelet Applications in Chemical Engineering: 272 (The Springer International Series in Engineering and Computer Science)

Edición Destacada

ISBN 10:  1461361664 ISBN 13:  9781461361664
Editorial: Springer, 2014
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