Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

ISBN-13: 9783030609665 / Angielski / Twarda / 2020 / 317 str.

Wolfgang Borutzky

Spis treści

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

O autorze

Wolfgang Borutzky is a professor for Modelling and Simulation of Engineering Systems at Bonn-Rhein-Sieg University of Applied Sciences, Germany. He obtained his University Diploma Degree in Mathematics in 1979 and his Doctoral Degree in Mechanical Engineering in 1985, both from the Technical University of Braunschweig, Germany. Since 2008 he holds an honorary position as Associate Professor of Electrical Engineering and Information Technology at the University of Dubrovnik, Croatia. Dr. Borutzky has published in the proceedings of many peer-reviewed international conferences on Modelling and Simulation and in refereed scientific journals. In 2019 he received the best paper award of the 12th International Conference on Integrated Modelling and Analysis in Applied Control and Automation (IMAACA 2019) in Lisbon, Portugal, which is part of the annual International Multidisciplinary Modelling & Simulation Multiconference (I3M). He is the author of a 2010 Springer monograph on Bond Graph Methodology and of a 2015 Springer book on Bond Graph model-based fault diagnosis in hybrid systems. He is also the editor and a co-author of a 2011 Springer compilation text on Bond Graph Modelling of Engineering Systems and of a 2016 compilation text entitled Bond Graphs for Modelling, Control and Fault Diagnosis with contributions from experts in various fields from all over the world. Furthermore, he was the guest editor of two special journal issues on bond graph modelling. 

Blurb

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