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  4. 1984
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  2. Journals
  3. Reliability Engineering
  4. 1984
Showing papers in "Reliability Engineering in 1984"
Journal Article•10.1016/0143-8174(84)90032-5•
The Arrhenius, Eyring, inverse power law and combination models in accelerated life testing

[...]

Dimitri Kececioglu, Julie A. Jacks1•
University of Arizona1
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, the authors presented a combination model for accelerated life testing and reliability determination, which considers the effect of both elevated temperature and high voltage on the characteristic life of bearing lives.

50 citations

Journal Article•10.1016/0143-8174(84)90020-9•
Bernstein reliability model: Derivation and estimation of parameters

[...]

Munir Ahmad, Anwar Khalil Sheikh
01 Jan 1984-Reliability Engineering
TL;DR: In this article, an attempt is made to explore the statistical characteristics and properties of the Bernstein model, and its applications in some areas of engineering science are pointed out, but no attempt has so far been made to comprehensively investigate the statistical properties and characteristics of the model.

48 citations

Journal Article•10.1016/0143-8174(84)90041-6•
Suitability of the lognormal distribution for corrective maintenance repair times

[...]

M.B. Kline1•
Naval Postgraduate School1
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, the lognormal distribution is used as a suitable descriptor for corrective maintenance repair times and the error caused in assuming an exponential distribution for availability and maintainability calculations when in fact the distribution is Lognormal.

45 citations

Journal Article•10.1016/0143-8174(84)90007-6•
An illustrative example of fault tree synthesis based on control loop structure

[...]

A. Shafaghi1, F.P. Lees1, P.K. Andow1•
Loughborough University1
01 Jan 1984-Reliability Engineering
TL;DR: In this article, a method of fault tree synthesis based on decomposing the plant into a set of control loops and which yields fault trees which do have a clear structure is presented.

28 citations

Journal Article•10.1016/0143-8174(84)90017-9•
Human error in structural reliability assessments

[...]

Robert E. Melchers1•
Monash University, Clayton campus1
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, the importance of human error in structural engineering reliability assessments is reviewed and some recent research results on human errors in simple design tasks given are considered, such as table-look-up, calculation and ranking of numbers.

21 citations

Journal Article•10.1016/0143-8174(84)90006-4•
Failure identification of offshore induction motor systems using on-condition monitoring

[...]

W.T. Thomson, R.A. Leonard, A.J. Milne, J. Penman1•
University of Aberdeen1
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, a study carried out into the identification of faults in three-phase squirrel cage induction motors was carried out and the reasons for monitoring vibration, current and stray flux signals in a unified approach were presented and a fault producing test rig and computer-based signal processing system were described.

20 citations

Journal Article•10.1016/0143-8174(84)90025-8•
Failures in control systems

[...]

M. Galluzzo1, P.K. Andow2•
University of Palermo1, Loughborough University2
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, the fault-tree construction algorithm was tested with a real control system and was found to be generally good (with minor discrepancies) for proportional controllers, but somewhat lacking if integral control action is used.

20 citations

Journal Article•10.1016/0143-8174(84)90044-1•
On the treatment of common-cause failures in system analysis

[...]

M.G.K. Evans, G.W. Parry, John Wreathall
01 Jan 1984-Reliability Engineering
TL;DR: In this article, the authors discuss the problem of the quantitative treatment of common-cause failures in systems analysis and present a method for estimating a common cause parameter for a simple-parametric model based on making judgements about the potential of particular failure mechanisms for causing multiple failures on a case-by-case basis.

18 citations

Journal Article•10.1016/0143-8174(84)90022-2•
The incoherency of multistate coherent systems

[...]

A. Bendell1, J. Ansell•
University of Dundee1
01 Jan 1984-Reliability Engineering
TL;DR: This paper is a first attempt to clarify some of the confusion in multistate extensions to the concept of coherent systems due to differing and often poorly justified definitions.

16 citations

Journal Article•10.1016/0143-8174(84)90019-2•
System reliability: An example of nuclear reactor system analysis

[...]

R. Coudray1, J.M. Mattei1•
French Alternative Energies and Atomic Energy Commission1
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, the authors present an overview of the three reliability investigations of a 900 MWe reactor residual heat removal system, and the main procedures used in operational reliability analysis, based on the analysis of occurence records, are covered.

15 citations

Journal Article•10.1016/0143-8174(84)90033-7•
Cost-benefit analysis of a one-server two-unit system subject to arbitrary failure, inspection and repair

[...]

R. Subramanyam Naidu1, M.N. Gopalan1•
Indian Institutes of Technology1
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, a cost-benefit analysis for a single-server two-unit system subject to arbitrary failure, inspection and repair is presented, where the service facility is called for whenever (i) a unit fails, (ii) the system fails and is retained until no unit is waiting for service.
Journal Article•10.1016/0143-8174(84)90050-7•
Reliability evaluation of protection devices in electrical power systems

[...]

H.T. Yip, G.C. Weller, R.N. Allan1•
University of Manchester1
01 Jan 1984-Reliability Engineering
TL;DR: In this article, the authors discuss the principles of relay systems and describe techniques that have been developed in order to evaluate the reliability of the relay devices and also discuss the principle of monitoring and self-checking within the relay to reduce the probability of an undetected dormant failure.
Journal Article•10.1016/0143-8174(84)90002-7•
A Bayesian procedure for drawing inferences from random data

[...]

G. Edwards1•
Royal Dutch Shell1
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, a Bayesian procedure for drawing inferences from random data is proposed, which allows the modelling uncertainty, concerning the choice of distribution type, and the statistical uncertainty concerning the distribution parameter estimates, to be considered alongside the underlying physical uncertainty when drawing the inferences.
Journal Article•10.1016/0143-8174(84)90058-1•
A comparison of methods for calculating system unavailability due to common cause failures: The beta factor and multiple dependent failure fraction methods

[...]

Carolyn D. Heising1, Ching N. Guey1•
Massachusetts Institute of Technology1
01 Jan 1984-Reliability Engineering
TL;DR: The multiple dependent failure fraction (MDFF) method is a generalization of the beta factor (BF) method, and is extended here to derive reliability expressions for several multiple redundant systems as mentioned in this paper.
Journal Article•10.1016/0143-8174(84)90034-9•
Assessment of the uncertainties associated with the core uncovery time in TMI-type accidents

[...]

T.L. Chu1, George Apostolakis1•
University of California, Los Angeles1
01 Jan 1984-Reliability Engineering
TL;DR: In this article, the core uncovery time in TMI-type accidents, i.e. small loss of coolant accidents due to stuck open power-operated relief values, is calculated.
Journal Article•10.1016/0143-8174(84)90027-1•
On the use of Petri nets for the enumeration of all trees in a graph

[...]

G.S. Hura
01 Jan 1984-Reliability Engineering
TL;DR: A technique utilizing the reachability concept of Petri nets for the enumeration of all the trees in a graph using only vector additions on a single matrix alleviates the computational effort.
Journal Article•10.1016/0143-8174(84)90047-7•
Reliability and availability equations for multi-state components

[...]

Jussi K. Vaurio1•
Argonne National Laboratory1
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, fundamental relations for the reliability, availability and other failure and repair characteristics of components with multiple failed states are derived for the probabilistic risk assessment and reliability analyses of complex components.
Journal Article•10.1016/0143-8174(84)90052-0•
Failure rates for general systems including structural components

[...]

R. Rachwitz1•
Technische Universität München1
01 Jan 1984-Reliability Engineering
TL;DR: In this article, it is shown that the unconditional failure rates in classical reliability theory have the same meaning as the outcrossing rates in structural reliability so that both approaches can be unified.
Journal Article•10.1016/0143-8174(84)90011-8•
Optimum inspection policy for a protective device

[...]

E. Shima1, T. Nakagawa2•
Toyota1, Meijo University2
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, a machine with a protection device which is inspected at predetermined "check times" is considered, and two expected costs are derived using the usual calculus method of probability, when the failure time of the device is exponential.
Journal Article•10.1016/0143-8174(84)90049-0•
The concept of failure in reliability engineering

[...]

G.W.E. Nieuwhof1•
Atomic Energy of Canada Limited1
01 Jan 1984-Reliability Engineering
Journal Article•10.1016/0143-8174(84)90056-8•
Confidence limit of probability of failure based on stress-strength model

[...]

M. Ichikawa1•
University of Electro-Communications1
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, the one-sided upper confidence limit of the probability of failure Pf = Prob (R≤S) is established for the case when both the strength, R, and stress, S, follow normal distributions.
Journal Article•10.1016/0143-8174(84)90013-1•
Some Replacement - Times Distributions in Two-Component Systems.

[...]

Samuel Kotz1, Norman L. Johnson2•
University of Maryland, College Park1, University of North Carolina at Chapel Hill2
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, the authors consider a system consisting of two modules, one of which cannot be easily inspected, while the other is monitored continuously, and derive expressions for the joint distribution of time to first repair and time between first and second repairs.
Journal Article•10.1016/0143-8174(84)90015-5•
A mathematical expression describing the failure probability of a system of redundant components with finite maximum repair time

[...]

L.C. Dunbar
01 Jan 1984-Reliability Engineering
TL;DR: In this article, the probability of failure of a system of two or three redundant components is defined as the failure of all components for the duration of a given finite time T. The implications of this condition of failure duration are discussed.
Journal Article•10.1016/0143-8174(84)90026-X•
On the definition of the ‘Best’ confidence interval

[...]

J. Goodman
01 Jan 1984-Reliability Engineering
TL;DR: In this article, the authors generalized the definition of the cumulative distribution by using Lebesgue integration, which allows the introduction of the shortest confidence interval (or domain) for all cases.
Journal Article•10.1016/0143-8174(84)90043-X•
Proposal of a new distribution-free method for reliability demonstration tests

[...]

M. Ichikawa1•
University of Electro-Communications1
01 Jan 1984-Reliability Engineering
TL;DR: In this article, a new distribution-free method is proposed for reliability demonstration tests, which is based on the distribution free formula for the upper bound of the probability of failure derived in previous papers.
Journal Article•10.1016/0143-8174(84)90014-3•
Computation of minimal cut sets of fault trees: Experiences with three different methods

[...]

G. Zipf
01 Jan 1984-Reliability Engineering
TL;DR: This paper shall discuss and compare three analytical methods, a bottom-up and a top-down algorithm, and a simulative method by which the minimal cut sets of a given fault tree can be computed.
Journal Article•10.1016/0143-8174(84)90048-9•
Plant specification of generic human-error data through a two-stage Bayesian approach

[...]

Carolyn D. Heising1, Earl I. Patterson1•
Massachusetts Institute of Technology1
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, a two-stage application of Bayes' theorem to information which is grouped by type is presented. And the first and second information types are coupled in the first application of BOW to derive a probability distribution for population performance.
Journal Article•10.1016/0143-8174(84)90008-8•
Reliability growth of gas turbine powered compressor units

[...]

J.O. Catchpole1, M.J. Kelly1, C. Musgrave1•
British Gas1
01 Jan 1984-Reliability Engineering
TL;DR: In this article, the authors present British Gas Corporation's experience of gas compressor reliability growth to date and show the methods which are used to evaluate operational trends, such as cumulative sum chart technique has been applied for the given reasons.
Journal Article•10.1016/0143-8174(84)90051-9•
A theoretical study of flaw size distributions

[...]

M. Ichikawa1•
University of Electro-Communications1
01 Jan 1984-Reliability Engineering
TL;DR: In this article, it is shown that the distribution functions G(a) which yield the second asymptotic distribution of the largest value can be promising models for flaw size distributions.
Journal Article•10.1016/0143-8174(84)90053-2•
The Hazards of risk analysis

[...]

D.R.T. Lowe1•
Imperial Chemical Industries1
01 Jan 1984-Reliability Engineering
TL;DR: In this paper, it is argued that risk analysis of this type does not improve decision taking in the area of public safety, and that if the techniques are developed to give results which are generally accepted as meaningful, then the overall decision-making process must be adapted to ensure that the results are properly weighed against other factors.

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