Fault diagnosis in dynamic systems : theory and applications / edited by Ron Patton, Paul Frank and Robert Clark.
Contributor(s): Patton, Ron | Clark, Robert | Frank, Paul M.
Material type: BookSeries: Prentice-Hall international series in systems and control engineering.Publisher: Englewood Cliffs, N.J. : Prentice-Hall, 1989Description: xv, 602 p. : ill. ; 25 cm.ISBN: 0133082636 .Subject(s): Automatic control -- Reliability | Process control -- Reliability | Fault location (Engineering)DDC classification: 620.004Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
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General Lending | MTU Bishopstown Library Lending | 620.004 (Browse shelf(Opens below)) | 1 | Available | 00028255 |
Enhanced descriptions from Syndetics:
Concerned with monitoring techniques to detect, predict, isolate, identify, and correct malfunctions and failures of individual components within complex automatic systems used in industry and commerce. The approaches examined include parameter estimation, Markov modelling for threshold determination, sequential-decision theory, and knowledge-based methods. Also discusses robust observers, Kalman filters, sensor location, and non-destructive testing. The references are combined, and form a very good bibliography. Annotation(c) 2003 Book News, Inc., Portland, OR (booknews.com)
Bibliography: p. [573]-594. - Includes index.
Introduction -- State estimation schemes for instrument fault detection -- Robust fault diagnosis using unknown input observer schemes -- Robust fault diagnosis using Eigenstructure assignment of observers -- Diagnosability of systems and optimal sensor location -- Band-limiting filter approach to fault detection -- Process fault diagnosis based on dynamic models and parameter estimation methods -- Model-based modular diagnosis method with application to jet engine faults -- Fault detection in nuclear reactors with the aid of parametric modelling methods -- Analytic redundancy management for systems with appreciable structural dynamics -- A fault diagnostic approach to signal processing in non-destructive test instrumentation -- A multiple model adaptive filtering approach to fault diagnosis in stochastic systems -- Some statistical methods for fault diagnosis for dynamical systems -- Fault detection threshold determination using Markov theory -- System fault diagnosis using the knowledge-based methodology.