Cargando…

Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools

Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving consi...

Descripción completa

Detalles Bibliográficos
Autor principal: Ding, Steven X
Lenguaje:eng
Publicado: Springer 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4471-4799-2
http://cds.cern.ch/record/1512955
_version_ 1780928152912003072
author Ding, Steven X
author_facet Ding, Steven X
author_sort Ding, Steven X
collection CERN
description Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools. This second edition of Model-Based Fault Diagnosis Techniques contains: ·         new material on fault isolation and identification, and fault detection in feedback control loops; ·         extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises; addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and ·         enhanced discussion of residual evaluation in stochastic processes. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering. ·         enhanced discussion of residual evaluation in stochastic processes. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
id cern-1512955
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher Springer
record_format invenio
spelling cern-15129552021-04-21T23:27:29Zdoi:10.1007/978-1-4471-4799-2http://cds.cern.ch/record/1512955engDing, Steven XModel-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and ToolsEngineeringGuaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools. This second edition of Model-Based Fault Diagnosis Techniques contains: ·         new material on fault isolation and identification, and fault detection in feedback control loops; ·         extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises; addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and ·         enhanced discussion of residual evaluation in stochastic processes. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering. ·         enhanced discussion of residual evaluation in stochastic processes. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.Springeroai:cds.cern.ch:15129552013
spellingShingle Engineering
Ding, Steven X
Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
title Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
title_full Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
title_fullStr Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
title_full_unstemmed Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
title_short Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
title_sort model-based fault diagnosis techniques: design schemes, algorithms and tools
topic Engineering
url https://dx.doi.org/10.1007/978-1-4471-4799-2
http://cds.cern.ch/record/1512955
work_keys_str_mv AT dingstevenx modelbasedfaultdiagnosistechniquesdesignschemesalgorithmsandtools