Fault detection, supervision, and safety for technical processes 2000 (SAFEPROCESS 2000) : a proceedings volume from the 4th IFAC symposium, Budapest, Hungary, 14-16 June, 2000

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Fault detection, supervision, and safety for technical processes 2000 (SAFEPROCESS 2000) : a proceedings volume from the 4th IFAC symposium, Budapest, Hungary, 14-16 June, 2000 / edited by A. M. Edelmayer ; co-edited by Cs. Bȧnyȧsz

版:

1st ed

資料種別:

図書

出版情報:

Oxford, UK : Published for the International Federation of Automatic Control by Pergamon, c2001

形態:

3 v. (xviii, 1196 p.) ; 30 cm

著者名:

ISBN:

9780080432502 [0080432506] (: set)

書誌ID:

BA53647590

子書誌情報

フルテキスト

所蔵情報

他の版・巻

書誌詳細

注記:

Includes bibliographical references and index

主題:

Automatic control--Congresses; Fault location(Engineering)--Congresses; Process control (Reliability)--Congresses

言語:

英語

目次情報:

Section Headings

Plenary papers / Volume 1：

Automotive systems diagnostics

Diagnosis using interval and integral approached

Neural networks in fault detection and isolation systems

Observer-based fault detection in nonlinear systems

Detection filters

Principles of diagnosis

Advanced methods of FDI, supervisio and control of high reliability systems

Research of quantitive and qualitiative FDI methods based on data from Lublin sugar factory

Observer-based approached to FDI / Volume 2：

Neural networks

Methodology of fault diagnosis

Fault detection and diagnosis

Robust FDI

Application of fuzzy logic to FDI

Monitoring and process supervision

Nonlinear observer-based FDI

Reconfigurable and scalable systems

Human factors safety / Volume 3：

Fault tolerant systems design

Design for reliability and safety

Case studies and inplementations

FDI to nonlinear systems

Statistical approaches to FDI

Application of AI methods to FDI

Application of FDI to induction motors

Modelling methods to fault detection

Design strategies, maintenance and repair

Section Headings

Plenary papers / Volume 1：

Automotive systems diagnostics

Diagnosis using interval and integral approached

Neural networks in fault detection and isolation systems

Observer-based fault detection in nonlinear systems

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