Results 221 to 230 of about 276 (256)

On Models for Diagnosable Systems and Probabilistic Fault Diagnosis

IEEE Transactions on Computers, 1976
This paper is concerned with automatic fault diagnosis for digital systems with multiple faults. Three problems are treated: 1) Probabilistic fault diagnosis is presented using the graph-theoretic model of Preparata et al. The necessary and sufficient conditions to correctly diagnose any fault set whose probability of occurrence is greater than t have ...
Shachindra N. Maheshwari, S. Louis Hakimi   +1 more
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Tailoring automata for fault diagnosability

IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468), 2004
Fault diagnosis in plants quite commonly utilizes measurements on limits of measurements being crossed. The fault-detection system attached to these limit detectors is thus clearly a discrete-event dynamic system. The plant, which operates in continuous time, a control system, which usually operates in discrete time and the supervisory control part ...
H.A. Preisig, null Yun Xia Xi, null Khiang Wee Lim   +2 more
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Diagnosing power transformers faults

Russian Electrical Engineering, 2014
In this paper, faults in power transformers are categorized into two internal and external faults. The reasons for faults in the transformers are proposed and different faults diagnosis techniques in general and detailed manners are introduced and discussed. Some of these techniques are conventional and generally analytical; and some are novel based on
Jawad Faiz, Reza Heydarabadi
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Diagnose crashing faults on production software

Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2014
Software crashes are severe manifestations of software faults. Especially, software crashes in production software usually result in bad user experiences. Therefore, crashing faults mostly are required to be fixed with a high priority. Diagnosing crashing faults on production software is non-trivial, due to the characteristics of production environment.
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A practical bearing fault diagnoser

2008 International Conference on Condition Monitoring and Diagnosis, 2008
Bearing is an important part of electric machines. In order to avoid unscheduled outputs, it is important to detect an upcoming fault as soon as possible. Since fault in a great number of bearings commences from a single point defect, research on this category of faults has shared a great deal in predictive diagnosis literature.
Alireza Sadoughi, Hamidreza Behbahanifard   +1 more
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Detecting and diagnosing saturation faults

UKACC International Conference on Control. Control '96, 1996
This paper presents a simple method for the detection and diagnosis of saturation faults in actuators for closed loop control systems. These faults are regarded as unexpected changes of the saturation level of the actuators. Assuming that there is a unknown nonlinear function which represents the relationship between the saturation and closed loop ...
Noriega, J. Rafael, Wang, Hong
  +5 more sources

A Polynomial Time Algorithm For Fault Diagnosability

25th Annual Symposium onFoundations of Computer Science, 1984., 1984
We present the first polynomial time algorithm for testing t-diagnosability. This is a significant advance in system level fault diagnosis. We also presented part of our analysis of t/s-diagnosability, including the fact that it is co-NP-complete and that there are polynomial algorithms for t/t and t/(t+1)-diagnosability.
openaire   +1 more source

Diagnosability of Discrete Faults with Uncertain Observations

2018
This chapter focuses on the discrete event-based transitions of a Hybrid System (HS), that is, it does not deal with the faults inside states, instead it takes into account the faults between states. Hence, the considered model is actually a Discrete-Event System (DES), say the DES underlying the HS, according to which a (type of) fault is one of the ...
Grastien, Alban, Zanella, Marina
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Diagnosing Intermittent Faults

2008
In this working report we outline how to determine the intermittency parameters gj from the activity matrix A (context: DX’08 paper Abreu, Zoeteweij, Van Gemund). We start with the single fault (SF) case and show that averaging over the error vector e is the exact way.
Van Gemund, A.J.C. (author), Abreu, R.F. (author), Zoeteweij, P. (author)   +2 more
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Diagnosing Multiple Simultaneous Faults

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 1993
Most recent studies of human diagnostic reasoning, or “troubleshooting,” have concentrated on the human's ability to diagnose single faults in a system. Little attention has been paid to human diagnosis of multiple simultaneous faults. Multiple faults are usually functionally unrelated, but sometimes they interact with each other, resulting in ...
openaire   +1 more source