Abstract
A “fault” is to be understood as an unexpected change of system function although it may not represent physical failure or breakdown. Such a fault or malfunction hampers or disturbs the normal operation of an automatic system, thus causing an unacceptable deterioration of the performance of the system or even leading to dangerous situations. We use the term “fault” rather than “failure” to denote a malfunction rather than a catastrophe. The term failure suggests complete breakdown of a system component or function, whilst the term fault may be used to indicate that a malfunction may be tolerable at its present stage. A fault must be diagnosed as early as possible even it is tolerable at its early stage to prevent any serious consequences.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Basseville, M. (1988). Detecting changes in signals and systems: A survey. Automatica, 24, No. 3:508–516.
Chen, J. and Patton, R.J. (1999). Robust Model-Based Fault Diagnosis for Dynamic Systems, Kluwer Academic Publishers.
Chow E.Y. and Willsky, A.S. (1984). Analytical redundancy and the design of robust failure detection systems. IEEE Trans. Automatic Control AC-29, No:7: 603–614.
Clark, R.N., Fosth, D.C. and Walton, V.M. (1975). Detecting instruments malfunctions in control systems. IEEE Trans. Aerospace Elect. Systems, AES-11:465–473.
Gertler, J.J. (1998). Fault Detection and Diagnosis In Engineering Systems, Marcel Dekker Inc.
Frank, P.M. (1987). Fault diagnosis in dynamic systems via state estimation-A survey. In: System Fault Diagnostics, Reliability and Related Knowledge-based Approaches (S. Tzafestas, Singh, M. and Schmidt, G., eds.):35–98. Reidel, Dordrecht.
Frank, P. M. (1990). Fault Diagnosis In Dynamic Systems Using Analytical And Knowledge Based Redundancy— A Survey And Some New Results, Automatica, 26, No: 3: 459–474.
Isermann, R. (1984). Process fault detection based on modelling and estimation methods, A Survey, Automatica, 20: 387–404.
Kazakos, D. and Papantoni-Kazakos, P. (1990). Detection and Estimation, Computer Science Press.
Lou, X.C., Willsky, A.S. and Verghese, G.L. (1986). Optimally robust redundancy relations for failure detection in uncertain systems. Automatica, 22: 333–344.
Mason, R.L., Gunst, R.F. and Hess, J.L. (1989). Statistical Design and Analysis of Experiments, John Wiley & Sons.
Mehra, R.K. and Peschon, J. (1971). An innovations approach to fault detection and diagnosis in dynamic systems. Automatica, 7: 637–640.
Montgomery D.C. (1975). Design and Analysis of Experiments. John Wiley & Sons.
Moore, B.C. (1981). Principal component analysis of linear systems: Controllability, observability and model reduction. IEEE Transactions on Automatic Control, Ac-26:17–32.
Patton, R.J., Frank, P.M. and Clark, R.N., ed. (1989). Fault Diagnosis in Dynamic Systems, Prentice Hall.
Shoureshi, R. and Hoskin, R.F. (1986). Failure detection and isolation using system structure knowledge and eigenvalue sensitivity. 35th American Control Conference, Proc. ACC, Seattle Washington, June: 1933–1938.
Wilbers, D.N. and Speyer, J.L (1989). Detection filters for aircraft sensor and actuator faults. Proc. ICCON’89 International Conference on Control and Applications, Jerusalem, April.
Willsky, A.S. (1976). A survey of design methods for failure detection systems. Automatica, 12: 601–611.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer Science+Business Media New York
About this chapter
Cite this chapter
Hajiyev, C., Caliskan, F. (2003). Introduction to Monitors, Detectors, and Diagnosticians. In: Fault Diagnosis and Reconfiguration in Flight Control Systems. Cooperative Systems, vol 2. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9166-9_5
Download citation
DOI: https://doi.org/10.1007/978-1-4419-9166-9_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-4818-4
Online ISBN: 978-1-4419-9166-9
eBook Packages: Springer Book Archive