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Integrated fault detection and diagnosis
Proceedings of IEEE Systems Man and Cybernetics Conference - SMC, 2002The development of technical diagnostic systems has shown that the time has come to bridge the gap between the process-oriented engineering approach and the reasoning-oriented approach. As a contribution to this on-going task, the paper proposes a unified frame for integration of different fault detection and decision techniques via approximate ...
R. Isermann, M. Ulieru
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Fault detection and diagnosis of memory system faults
Proceedings of the June 1971 design automation workshop on Design automation - DAC '71, 1971Algorithms for the detection and diagnosis of faults in semiconductor random-access, word-organized memory systems are presented and evaluated. The memory system is conceptually partitioned into four major elements to facilitate analysis. During the testing of each element, previously tested elements are assumed to be fault-free, but untested elements ...
A. R. Klayton +2 more
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Supervision, Fault-Detection and Fault-Diagnosis Methods
1999The operation of technical processes requires increasingly advanced supervision and fault diagnosis to improve reliability, safety and economy. This contribution describes advanced methods of fault detection and diagnosis. It begins with the consideration of a knowledge-based procedure, which is based on analytical and heuristic information.
Rolf Isermann, Dominik Füssel
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Fault detection - Diagnosis and predictive maintenance
1986 25th IEEE Conference on Decision and Control, 1986After a general presentation of the hierarchy of problems covered by fault detection, diagnosis and predictive maintenance, the basic methodology used is described as well as the necessary mathematical tools. Example of jet engines diagnosis gives a further insight into the diagnosis problem.
Andre Rault, Chrysostome Baskiotis
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Fault detection and diagnosis of automated manufacturing systems
Proceedings of the 27th IEEE Conference on Decision and Control, 1988The authors develop a controller methodology for fault detection and diagnosis using Petri nets and fault trees in automated manufacturing systems. The controller has two levels. At the first level there are dedicated diagnostic systems for each of the subsystems, such as machine centers, robots, conveyers, etc.
N. Viswanadham, T.L. Johnson
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Optimal auxiliary input for fault detection and fault diagnosis
Proceedings of Joint Conference on Control Applications Intelligent Control and Computer Aided Control System Design, 2002An optimal input design problem in frequency domain is discussed for quick detection of the system fault without affecting the original system in normal mode. The input is designed to enlarge the distance measured by the Kullback discrimination information measure between the system models corresponding to the normal and the fault modes in single fault
T. Hatanaka, K. Uosaki
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