Control of mean time between failures
International Journal of Control, 1994A new optimal stochastic control problem is posed. The criterion is to maximize the mean-time-between-failures criterion given a certain reference value. It is shown that this control problem is closely related both to the problem of minimizing the variance of the signal—minimum variance control — and to the problem of minimizing the so-called ...
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Assessing tracking performance in complex scenarios using mean time between failures
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 2016Existing measures for evaluating the performance of tracking algorithms are difficult to interpret, which makes it hard to identify the best approach for a particular situation. As we show, a dummy algorithm which does not actually track scores well under most existing measures.
Peter Carr, Robert T. Collins
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Ten Year ESP Mean Time between Failures, Reality or Fiction
Abu Dhabi International Petroleum Exhibition & Conference, 2016Abstract Improving Electric Submersible Pump (ESP) system reliability, eliminating or reducing failures, comprise the most frequent requests from O&G operators. Over the last few decades, notable design improvements have been made with the use of computer aided design, rapid prototyping techniques, and use space age materials.
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Bayesian estimation of the difference between two mean times to failure
Stochastic Analysis and Applications, 1992This paper is concerned with the problem of allocating a fixed number of trials between the failure times of two independent components with unknown mean times to failure , in order to estimate with squared error loss. Introducing independent gamma priors on θ and ω, a fully sequential procedure is derived and shown to be nearly optimal.
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Comparison of two estimation methods of the mean time-interval between software failures
Ninth Annual International Phoenix Conference on Computers and Communications. 1990 Conference Proceedings, 1990The quantitative assessment of software reliability by using failure time data observed during software testing in the software development is addressed. On the basis of two models described by nonhomogeneous Poisson processes, exponential and delayed S-shaped software reliability growth models, the authors adopt the mean time between software failures
J. Hishitani, S. Yamada, S. Osaki
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An assessment of mean time between failures for a group of rolling bearings
2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, 2011Rolling bearings are usually considered to be non-repaired items the reliability of which is characterized by mean time to failure, or so called basic rating life. Reliability describes these parameters well in case the bearings are used in operation up to the very time the failure occurs, or during the time corresponding with basic rating life.
Zdenek Vintr, Michal Vintr
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Sequential Testing for Comparison of the Mean Time Between Failures for Two Systems
IEEE Transactions on Reliability, 2007This study deals with simultaneous testing of two systems, one "basic" (subscript b), and the other "new" (n), both with an exponential distribution describing the times between failures. We test whether the mean TBFn/MTBFb ratio equals a given value, versus whether it is smaller than the given value. These tests yield a binomial pattern.
Yefim H. Michlin, Genady Ya. Grabarnik
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Availability compliance testing of systems with long mean time between failures
Reliability Engineering, 1986Abstract Section 2 of this paper presents a simple way to design an availability compliance test terminated at a fixed time. Test parameters are selected by means of supplied nomograms. Section 3 contains a mathematical analysis of the test type in question with approximations adapted for systems with high availability ( >0·95 ).
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Assessment of mean time between failures of metrological support and control of production
2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE), 2014Any parametres have a relevant Annotation - mean time between failures diminishes in the process of system activity before some minimum value, corresponding to a set stationary process of restoration. This fact causes necessity to study in detail issues relating to stability of systems to support efficient functioning of metrological systems.
Yu.A. Palchun, I. B. Yelistratova
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An electrical reliability metric for preventive maintenance: Mean time between failure plus finds
2015 IEEE Petroleum and Chemical Industry Committee Conference (PCIC), 2015Electrical reliability can be measured by taking a systematic approach to documenting PM (preventive maintenance) records with a metric derived from its discovery finds. These finds, however minor, are leading indicators to equipment failures. Documenting and reviewing them justifies electrical PM programs, measures PM effectiveness, and optimizes PM ...
John Duenckel +2 more
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