Time-series methods for fault detection and identification in vibrating structures

An overview of the principles and techniques of time-series methods for fault detection, identification and estimation in vibrating structures is presented, and certain new methods are introduced. The methods are classified, and their features and operation are discussed. Their practicality and effe...

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Bibliographic Details
Published in:Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences physical, and engineering sciences, 2007-02, Vol.365 (1851), p.411-448
Main Authors: Fassois, Spilios D, Sakellariou, John S
Format: Article
Language:English
Subjects:
Algorithms
Computer Simulation
Construction Materials - analysis
Degrees of freedom
Engineering - instrumentation
Engineering - methods
Equipment Design
Equipment Failure Analysis - instrumentation
Equipment Failure Analysis - methods
Estimation methods
Facility Design and Construction - instrumentation
Facility Design and Construction - methods
Fault detection
Fault Detection And Identification
Maintenance - methods
Materials Testing - methods
Mathematical vectors
Modeling
Models, Theoretical
Null hypothesis
Parametric models
Signal Processing, Computer-Assisted
Statistical Methods
Statistical variance
Structural Fault Diagnosis
Time series
Time-Series Methods
Transducers
Vibrating Structures
Vibration
Vibration-Based Methods
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Summary:An overview of the principles and techniques of time-series methods for fault detection, identification and estimation in vibrating structures is presented, and certain new methods are introduced. The methods are classified, and their features and operation are discussed. Their practicality and effectiveness are demonstrated through brief presentations of three case studies pertaining to fault detection, identification and estimation in an aircraft panel, a scale aircraft skeleton structure and a simple nonlinear simulated structure.
ISSN:1364-503X
1471-2962
DOI:10.1098/rsta.2006.1929