Results 261 to 270 of about 250,585 (299)
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The estimation of fault coverage
Microelectronics Journal, 1989Abstract Fault coverage estimation critically depends on the choice of the faults inserted in the fault list. This paper addresses the issues related to automatic fault list generation, pointing out some typical limitations of available CAD tools.
S. Gaviraghi, D. Giacomuzzi, C. Morandi
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Fault estimation for complex networks with multiple faults
2017 Chinese Automation Congress (CAC), 2017This paper studies the multiple fault estimation problem for a class of complex networks. A new distributed intermediate estimator is proposed, which has improved the nominal distributed intermediate estimator in the sense that less conservative sufficient conditions are derived.
Jun-Wei Zhu +3 more
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Estimating the fault rate function
IBM Systems Journal, 1992Paging activity can be a major factor in determining whether a software workload will run on a given computer system. A program's paging behavior is difficult to predict because it depends not only on the workload processed by the program, but also on the level of storage contention of the processor.
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Fault exposure ratio estimation and applications
Proceedings of ISSRE '96: 7th International Symposium on Software Reliability Engineering, 2002One of the most important parameters that control reliability growth is the fault exposure ratio (FER) identified by J.D. Musa et al. (1991). It represents the average detectability of the faults in software. Other parameters that control reliability growth are software size and execution speed of the processor which are both easily evaluated.
Michael Naixin Li, Yashwant K. Malaiya
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Estimating the Number of Faults in Code
IEEE Transactions on Software Engineering, 1984This paper provides formulas relating the number of faults or ``bugs'' to the number of lines of code and to the number of conditional jumps. A result is that there are, on the average, about 21 bugs per KSLOC discoverable after successful compilation.
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Robust fault estimation for networked systems
2008 10th International Conference on Control, Automation, Robotics and Vision, 2008This paper investigates robust fault isolation and estimation of networked systems, where the plant output is transmitted to the estimator through a network channel with limited communication capacity including signal transmission delay, data packet dropout and measurement quantization.
Xiaofang Zha +2 more
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Fault-tolerant control in presence of disturbances based on fault estimation
Systems & Control Letters, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jovan Stefanovski, Ðani Juricic
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Inputs estimator for actuator faults detection
2017 International Conference on Control, Automation and Diagnosis (ICCAD), 2017This paper proposes a fault detection method for a particular class of nonlinear flat system using a dynamic higher order sliding mode. The key idea consists to design an inputs estimator based on analytical redundancy relations by solving a constraint satisfaction problem. Indeed, the analytical redundancy relations require knowledge of the successive
O. Dhaou +3 more
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Fault estimation using algebraic observers
2007 American Control Conference, 2007A model free nonlinear observer based upon algebraic observability condition is used in the fault estimation problem of nonlinear systems. A diagnosis criterion based on the differential transcendence degree of a differential field extension is employed. Two systems with fault presence are analyzed. Faults are estimated with this observer.
Rafael Martínez-Guerra +2 more
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Comparing Fault-Proneness Estimation Models
10th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'05), 2005Over the last, years, software quality has become one of the most important requirements in the development of systems. Fault-proneness estimation could play a key role in quality control of software products. In this area, much effort has been spent in defining metrics and identifying models for system assessment.
BELLINI, PIERFRANCESCO +3 more
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