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Nonlinear systems and circuits in in...
~
Taglialatela-Scafati, Ferdinando.
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Nonlinear systems and circuits in internal combustion engines = modeling and control /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Nonlinear systems and circuits in internal combustion engines/ by Ferdinando Taglialatela-Scafati ... [et al.].
Reminder of title:
modeling and control /
other author:
Taglialatela-Scafati, Ferdinando.
Published:
Cham :Springer International Publishing : : 2018.,
Description:
xii, 80 p. :ill., digital ;24 cm.
[NT 15003449]:
Introduction -- Nonlinear Phenomena in Internal Combustion Engines -- Non-Interfering Diagnostics for the Study of Thermo Fluid-Dynamic Processes in Combustion Engines -- Modelling of Particle Size Distribution in Internal Combustion Engines -- Diagnosis and Control of Combustion Engines Using Vibration Signals -- Pressure Signal Reconstruction In-Cylinder by Using Learning Circuits Modelling and Engine Control -- Gasoline Direct Injection: Identification and Compensation of Ballistic Phenomena.
Contained By:
Springer eBooks
Subject:
Internal combustion engines - Mathematical models. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-67140-6
ISBN:
9783319671406
Nonlinear systems and circuits in internal combustion engines = modeling and control /
Nonlinear systems and circuits in internal combustion engines
modeling and control /[electronic resource] :by Ferdinando Taglialatela-Scafati ... [et al.]. - Cham :Springer International Publishing :2018. - xii, 80 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..
Introduction -- Nonlinear Phenomena in Internal Combustion Engines -- Non-Interfering Diagnostics for the Study of Thermo Fluid-Dynamic Processes in Combustion Engines -- Modelling of Particle Size Distribution in Internal Combustion Engines -- Diagnosis and Control of Combustion Engines Using Vibration Signals -- Pressure Signal Reconstruction In-Cylinder by Using Learning Circuits Modelling and Engine Control -- Gasoline Direct Injection: Identification and Compensation of Ballistic Phenomena.
This brief provides an overview on the most relevant nonlinear phenomena in internal combustion engines with a particular emphasis on the use of nonlinear circuits in their modelling and control. The brief contains advanced methodologies --based on neural networks and soft-computing approaches among others-- for the compensation of engine nonlinearities by using the combustion pressure signal and proposes several techniques for the reconstruction of this signal on the basis of different engine parameters, including engine-block vibration and crankshaft rotational speed. Another topic of the book is the diagnosis of the nonlinearities of injection systems and their balancing, which is a mandatory task for the new generation of gasoline direct injection engines. The authors come from both industrial and academic backgrounds, so the brief represents an important tool both for researchers and practitioners in the automotive industry.
ISBN: 9783319671406
Standard No.: 10.1007/978-3-319-67140-6doiSubjects--Topical Terms:
1066722
Internal combustion engines
--Mathematical models.
LC Class. No.: TJ755
Dewey Class. No.: 621.43
Nonlinear systems and circuits in internal combustion engines = modeling and control /
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Introduction -- Nonlinear Phenomena in Internal Combustion Engines -- Non-Interfering Diagnostics for the Study of Thermo Fluid-Dynamic Processes in Combustion Engines -- Modelling of Particle Size Distribution in Internal Combustion Engines -- Diagnosis and Control of Combustion Engines Using Vibration Signals -- Pressure Signal Reconstruction In-Cylinder by Using Learning Circuits Modelling and Engine Control -- Gasoline Direct Injection: Identification and Compensation of Ballistic Phenomena.
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This brief provides an overview on the most relevant nonlinear phenomena in internal combustion engines with a particular emphasis on the use of nonlinear circuits in their modelling and control. The brief contains advanced methodologies --based on neural networks and soft-computing approaches among others-- for the compensation of engine nonlinearities by using the combustion pressure signal and proposes several techniques for the reconstruction of this signal on the basis of different engine parameters, including engine-block vibration and crankshaft rotational speed. Another topic of the book is the diagnosis of the nonlinearities of injection systems and their balancing, which is a mandatory task for the new generation of gasoline direct injection engines. The authors come from both industrial and academic backgrounds, so the brief represents an important tool both for researchers and practitioners in the automotive industry.
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Engineering (Springer-11647)
based on 0 review(s)
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W9340969
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11.線上閱覽_V
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EB TJ755
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