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Bond graph modelling for control, fa...

Borutzky, Wolfgang.

Bond graph modelling for control, fault diagnosis and failure prognosis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bond graph modelling for control, fault diagnosis and failure prognosisby Wolfgang Borutzky.
Author:	Borutzky, Wolfgang.
Published:	Cham :Springer International Publishing :2021.
Description:	xviii, 317 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Bond graphs.
Online resource:	https://doi.org/10.1007/978-3-030-60967-2
ISBN:	9783030609672$q(electronic bk.)

Bond graph modelling for control, fault diagnosis and failure prognosis
Borutzky, Wolfgang.

Bond graph modelling for control, fault diagnosis and failure prognosis[electronic resource] /by Wolfgang Borutzky. - Cham :Springer International Publishing :2021. - xviii, 317 p. :ill., digital ;24 cm.

Introduction -- Structural Properties of Bond Graphs for Model-based Control -- Fault Diagnosis -- Failure Prognostic -- Fault Tolerant Control -- Software -- Applications -- Conclusion and Discussion.

This book shows in a comprehensive presentation how Bond Graph methodology can support model-based control, model-based fault diagnosis, fault accommodation, and failure prognosis by reviewing the state-of-the-art, presenting a hybrid integrated approach to Bond Graph model-based fault diagnosis and failure prognosis, and by providing a review of software that can be used for these tasks. The structured text illustrates on numerous small examples how the computational structure superimposed on an acausal bond graph can be exploited to check for control properties such as structural observability and control lability, perform parameter estimation and fault detection and isolation, provide discrete values of an unknown degradation trend at sample points, and develop an inverse model for fault accommodation. The comprehensive presentation also covers failure prognosis based on continuous state estimation by means of filters or time series forecasting. This book has been written for students specializing in the overlap of engineering and computer science as well as for researchers, and for engineers in industry working with modelling, simulation, control, fault diagnosis, and failure prognosis in various application fields and who might be interested to see how bond graph modelling can support their work. Presents a hybrid model-based, data-driven approach to failure prognosis Highlights synergies and relations between fault diagnosis and failure prognostic Discusses the importance of fault diagnosis and failure prognostic in various fields.

ISBN: 9783030609672$q(electronic bk.)

Standard No.: 10.1007/978-3-030-60967-2doiSubjects--Topical Terms:

206855
Bond graphs.

LC Class. No.: TA338.B6

Dewey Class. No.: 620.0015115

Bond graph modelling for control, fault diagnosis and failure prognosis
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505 0 $a Introduction -- Structural Properties of Bond Graphs for Model-based Control -- Fault Diagnosis -- Failure Prognostic -- Fault Tolerant Control -- Software -- Applications -- Conclusion and Discussion.
520 $a This book shows in a comprehensive presentation how Bond Graph methodology can support model-based control, model-based fault diagnosis, fault accommodation, and failure prognosis by reviewing the state-of-the-art, presenting a hybrid integrated approach to Bond Graph model-based fault diagnosis and failure prognosis, and by providing a review of software that can be used for these tasks. The structured text illustrates on numerous small examples how the computational structure superimposed on an acausal bond graph can be exploited to check for control properties such as structural observability and control lability, perform parameter estimation and fault detection and isolation, provide discrete values of an unknown degradation trend at sample points, and develop an inverse model for fault accommodation. The comprehensive presentation also covers failure prognosis based on continuous state estimation by means of filters or time series forecasting. This book has been written for students specializing in the overlap of engineering and computer science as well as for researchers, and for engineers in industry working with modelling, simulation, control, fault diagnosis, and failure prognosis in various application fields and who might be interested to see how bond graph modelling can support their work. Presents a hybrid model-based, data-driven approach to failure prognosis Highlights synergies and relations between fault diagnosis and failure prognostic Discusses the importance of fault diagnosis and failure prognostic in various fields.
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