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Reliability growth

DARCOM-P-702-4, Reliability Growth Management, U.S. Army Materiel Development and Readiness Command, Alexandria, Va., 1976. [Pg.15]

Integration with reliability analysis engines including part life calculations, system reliability and reliability growth analyses... [Pg.22]

Figure 11 Reliability Growth and Degradation During System Life. Figure 11 Reliability Growth and Degradation During System Life.
Redesign, detection, and analysis of failure sources serve as verification of redesign effort. Some of the benefits of reliability growth methodology are ... [Pg.1952]

Establish reliability growth curves for the development and testing phase. [Pg.1953]

Identification of significant effects of altering the testing process with regard to reliability growth management... [Pg.855]

According to the US Department of Defence (1981) reliability growth means The positive improvement in a reliability parameter over a period of time due to changes in product design or the manufacturing process. [Pg.855]

Figure 1. Reliability growth means an increasing MTBF due to improvement measures. Figure 1. Reliability growth means an increasing MTBF due to improvement measures.
Many enterprises have the wish to improve their processes and/or to implement a development risk management. With regard to field reliability (reliability in the terms of reliability growth always means the failure behaviour in the first and second section of the bath-tub curve) reliability growth management is the issue. [Pg.855]

The first step of RGM is to find out the current reliability growth parameters from past projects. By that we only measure how good or bad we are. The effort would be wasted if the gained information would not be used for further analyses. [Pg.856]

The most important issue is to be safe in ones decisions and this directly means that the data and data analysis the decisions are based upon are definite. As reliability growth is directly linked with random failure times according to a certain failure time model it is clear that the solution to the question described above must lie in statistics. [Pg.856]

The most important question now is How do the confidence bounds of a reliability growth model look like ... [Pg.857]

Regarding confidence bounds for reliability growth models there are at least two analytical approaches namely the confidence bounds according to Crow and according to the Fisher matrix. [Pg.857]

We apply a simulation approach (Monte Carlo) to generate the confidence bounds of a Crow-AMSAA reliability growth model. This approach is the centre of this publication. First of all we explain the simulation approach ... [Pg.857]

Now we have everything at hand we need to do statistical statements answering practical questions around reliability growth processes. [Pg.858]

Another question that can be even more important is not only to look at a certain time horizon on the /accum-time beam but to look at the Crow-AMSAA model parameter (1 — b) namely the reliability growth gradient. A development project manager is interested in as early information as possible. Significant deviations in the model parameter b give indications about the reachability of a certain target and allow making early decisions. [Pg.858]

Figure 8. Is the reliability growth (gradient) significantly higher than in former projects ... Figure 8. Is the reliability growth (gradient) significantly higher than in former projects ...
In this contribution we showedhow confidence bounds of reliability growth processes can be generated using a Monte Carlo simulation approach. Our results are compatible with other analytical confidence bound concepts. We found that the rank distributions at certain time horizons are log-normal distributed. Using the confidence bound concept it is possible to make statistically sound decisions regarding a current development project or the development process itself. [Pg.859]

US Department of Defence 1981. Reliability Growth Management. Military Handbook 189. [Pg.859]

Figure 1. Graphical representation of the results obtained using some of the software reliability growth models. Figure 1. Graphical representation of the results obtained using some of the software reliability growth models.
Ozment, A. 2005. Software Security Growth ModeUng Examining Vulnerabilities with Reliability Growth Models, First Workshop on Quality ofProtection (QoP). Milan, Italy. [Pg.1286]

Still, the number of software faults observed during V V could be an interesting source of information for reliability parameters estimation using reliability growth method . [Pg.1295]

The Bayesian reliability growth models based on a new dirichlet prior distribution... [Pg.1616]

Therefore, Li and Wu [14] studied further on a new prior distribution class in their paper, and established Bayesian reliability growth model based on the new Dirichlet prior distribution. Moreover, the value of reliability assessment and its confidence are described by two parameters in each reliability growth phase. However, parameters of the new prior distribution class a, a2,...,otm have not definitely physical meaning, it is difficult to determine their values by experts experience, and will be respectable when it will he able to solve the problem of practice engineering. [Pg.1617]

See other pages where Reliability growth is mentioned: [Pg.128]    [Pg.232]    [Pg.262]    [Pg.127]    [Pg.744]    [Pg.233]    [Pg.1922]    [Pg.1922]    [Pg.1925]    [Pg.1932]    [Pg.1951]    [Pg.1951]    [Pg.1951]    [Pg.1952]    [Pg.855]    [Pg.855]    [Pg.855]    [Pg.856]    [Pg.857]    [Pg.858]    [Pg.866]    [Pg.1283]    [Pg.1616]    [Pg.1616]    [Pg.1617]    [Pg.1617]   
See also in sourсe #XX -- [ Pg.315 ]



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