Estimation of system reliability using a "non-constant failure rate" model

Jones, Jeffrey Alun; Hayes, J. A.

doi:10.1109/24.974125

Cited by 43 publications

(15 citation statements)

References 3 publications

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“…In [3]- [6], various metrics of evaluating system reliability are defined and Manuscript analyzed. In order to analyze the reliability of power electronic systems, mathematical estimation of reliability is necessary.…”

Section: Introductionmentioning

confidence: 99%

“…In order to analyze the reliability of power electronic systems, mathematical estimation of reliability is necessary. Component-level failure models are studied extensively [3], [7]- [13], and several quantitative methodologies are presented to build system-level reliability models, both of which combine to give an accurate reliability prediction [5], [14], [15], [16], [17]. In many cases, the classic design cannot meet reliability requirement of specifications.…”

Section: Introductionmentioning

confidence: 99%

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Survey on Reliability of Power Electronic Systems

Song

Wang

2013

IEEE Trans. Power Electron.

686

307

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With wide-spread application of power electronic systems across many different industries, their reliability is being studied extensively. This paper presents a comprehensive review of reliability assessment and improvement of power electronic systems from three levels: 1) metrics and methodologies of reliability assessment of existing system; 2) reliability improvement of existing system by means of algorithmic solutions without change of the hardware; and 3) reliability-oriented design solutions that are based on fault-tolerant operation of the overall systems. The intent of this review is to provide a clear picture of the landscape of reliability research in power electronics. The limitations of the current research have been identified and the direction for future research is suggested.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Survey on Reliability of Power Electronic Systems

Song

Wang

2013

IEEE Trans. Power Electron.

686

307

View full text Add to dashboard Cite

show abstract

“…Firstly, we take the Poisson condition probability and the Gamma prior distribution of (α=2, β=1) as a combination to calculate the failure event probability [8,9]. A failure event probability example can be deduced as follows (Table 5): x denotes the occurred number of failure event; F1 denotes the vehicle number of failure events ) ( x f n ′ ; F2 denotes the probability of failure ;…”

Section: Calculation Of Risk Indexesmentioning

confidence: 99%

A managed Bayesian risk approach for decision making alternatives

Chang¹,

Liu²

2007

imf

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Bayesian risk analysis is widely used in industry management for many years.But some of uncertain factors unfortunately existed such as the bias of modeling and the obstacle of large volume data access from an online system. The purpose of a managed Bayesian risk approach proposed is to solve these problems. The approach we proposed in this article clarifies various situations for decision making alternatives. Furthermore, a case study of vehicle recognition failure event is demonstrated to verify the model we propose.

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“…He conducts an analysis of failure intensity curve of CMOS digital integrated circuits with 1000 hour intervals. The shape of the curve obtained by Jones is 'ample evidence that the constant failure rate assumption for this type of device is incorrect' (Jones, 2001). It is also important to notice that Jones considers only the first part of the bath-tube curve by using an example of CMOS digital devices.…”

Section: Constant or Non-constant Failure Ratesmentioning

confidence: 99%

“…In this case, based on Drenick's theorem, the demand process can be approximated by a Poisson process, that means the demand rate is approximately constant (Alfredsson and Waak, 2001). Jones (Jones, 2001) considers a failure intensity analysis for estimation of system reliability using a non-constant failure rate model. He conducts an analysis of failure intensity curve of CMOS digital integrated circuits with 1000 hour intervals.…”

Section: Constant or Non-constant Failure Ratesmentioning

confidence: 99%

Methods of reliability assessment of heterogeneous redundant systems

Rogova

Lodewijks

2016

IFAC-PapersOnLine

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Reliability assessment is required for the determination of a safety integrity level (SIL) of safety systems in accordance to the functional safety approach. Functional safety standards suggest formulas for calculating PFD/PFH which numerical values are used for establishing correspondence to the SIL. However these formulas cannot be used for heterogeneous redundant systems with a combination of mechanical, electronic/electrical components and constant and non-constant failure rates. In this paper we present an overview of reliability assessment methods that are able to cope with these features of heterogeneous redundant systems, show their advantages, drawbacks and limitations in application.

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Estimation of system reliability using a "non-constant failure rate" model

Cited by 43 publications

References 3 publications

Survey on Reliability of Power Electronic Systems

Survey on Reliability of Power Electronic Systems

A managed Bayesian risk approach for decision making alternatives

Methods of reliability assessment of heterogeneous redundant systems

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