# IEEE Transactions on Reliability

## Filter Results

Displaying Results 1 - 25 of 35
• ### [Front cover]

Publication Year: 1976, Page(s): c1
| PDF (736 KB)
• ### IEEE Reliability Group

Publication Year: 1976, Page(s): nil1
| PDF (143 KB)
• ### [Breaker page]

Publication Year: 1976, Page(s): nil1
| PDF (143 KB)
• ### Don't Use Hypothesis Tests

Publication Year: 1976, Page(s): 1
| PDF (143 KB)
• ### What Do the Data Tell You?

Publication Year: 1976, Page(s): 1
| PDF (143 KB)
• ### A New Algorithm for Symbolic System Reliability Analysis

Publication Year: 1976, Page(s):2 - 15
Cited by:  Papers (98)
| | PDF (2054 KB)

This paper presents a new algorithm for symbolic system reliability analysis. The method is applicable to system graphs with unreliable branches or nodes. Each branch is directed or undirected. Element probabilities need not be equal, but their failures are assumed to be s-independent. The new method makes no attempt to generate mutually exclusive events from the set of paths or cutsets but uses a... View full abstract»

• ### Comment on Editorial "Watch Your Language

Publication Year: 1976, Page(s): 15
| | PDF (177 KB)

First Page of the Article
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• ### Confidence and A' and B' Allowable Factors for the Weibull Distribution

Publication Year: 1976, Page(s):16 - 19
Cited by:  Papers (1)
| | PDF (664 KB)

s-Confidence and A' and B' allowable factors for sample sizes 2-30, obtained by Monte Carlo techniques, for populations whose property measurements can be represented by a 2-parameter Weibull distribution are developed. The factors for the Weibull case are presented here in graphical form which allows practical engineering application and readily shows sample size effects. A numerical example il... View full abstract»

• ### Weibull Percentile Estimates and Confidence Limits from Singly Censored Data by Maximum Likelihood

Publication Year: 1976, Page(s):20 - 24
Cited by:  Papers (12)
| | PDF (805 KB)

This paper presents a simple chart that provides approximate large-sample s-confidence limits for the percentiles of a Weibull life distribution estimated by maximum likelihood from singly censored data. The chart also helps determine the appropriate sample size and length of a life test. The methods are illustrated with life data on a locomotive control. View full abstract»

• ### Estimation of Weibull Parameters With Competing-Mode Censoring

Publication Year: 1976, Page(s):25 - 31
Cited by:  Papers (9)
| | PDF (990 KB)

Existing results are reviewed for the maximum likelihood (ML) estimation of the parameters of a 2-parameter Weibull life distribution for the case where the data are censored by failures due to an arbitrary number of independent 2-parameter Weibull failure modes. For the case where all distributions have a common but unknown shape parameter the joint ML estimators are derived for i) a general perc... View full abstract»

Publication Year: 1976, Page(s): 31
| PDF (158 KB)
• ### Age Replacement In Simple Systems With Increasing Loss Functions

Publication Year: 1976, Page(s):32 - 34
Cited by:  Papers (7)
| | PDF (467 KB)

Some age replacement policies are investigated and conditions for the unique existence of an optimum policy are derived. The optimum policy is the one which minimizes the expected cost per unit time over an infinite time span or maximizes the proportion of time during which the system is in operation. Losses have been expressed through increasing operating cost, if the objective is to minimize the... View full abstract»

Publication Year: 1976, Page(s): 34
| PDF (195 KB)
• ### On Scheduling the Delivery of spare Units

Publication Year: 1976, Page(s):35 - 37
Cited by:  Papers (1)
| | PDF (452 KB)

A system with a special operating unit is considered. We determine when the spare unit should be delivered and replaced for the original one, where the delivery time is considered. Four models are introduced and the delivery policy for each model is found which maximizes the s-expected net earning rate (with no discount) or the total s-expected net earnings (with discount). View full abstract»

• ### Book Review

Publication Year: 1976, Page(s): 37
| PDF (142 KB)
• ### Dependability Under Priority Repair Disciplines

Publication Year: 1976, Page(s):38 - 40
Cited by:  Papers (7)
| | PDF (460 KB)

We have studied the operational behaviour of a complex system consisting of two classes of units (with standby redundancy in one class) under two repair disciplines, viz., preemptive-resume and preemptive-repeat. Units have constant failure rate, while repair follows general probability distributions. Supplementary variable and Laplace transform techniques have been used to obtain the transient st... View full abstract»

Publication Year: 1976, Page(s): 40
| PDF (201 KB)
• ### Confidence Limits for Redundant-System Availability

Publication Year: 1976, Page(s):41 - 42
Cited by:  Papers (3)
| | PDF (290 KB)

s-Confidence limits are established for the Availability of a standby redundant system (1-out-of-N:G system) for both hot and cold spares consisting of several identical units and repair facilities. The failure and repair rates of the units are s-independent, constant, and estimated from test data. View full abstract»

• ### Availability of the 2-out-of-n: F System

Publication Year: 1976, Page(s):43 - 44
Cited by:  Papers (5)
| | PDF (306 KB)

Assuming constant failure rate and general repair distribution, this paper treats the availability of the 2-out-of-n:F system by identifying an imbedded Markov renewal process. View full abstract»

Publication Year: 1976, Page(s): 44
| PDF (176 KB)
• ### Failure by the Processes of Nucleation and Growth

Publication Year: 1976, Page(s):45 - 48
Cited by:  Papers (3)
| | PDF (714 KB)

Failure of products due to the combined processes of nucleation and growth of deleterious phases is discussed and categorized. Reliability predictions are made for both catastrophic and progressive failure. The technique is very general and relates the thermodynamic and kinetic data of the failure mechanism to product lifetime. Measurements of nucleation and growth rates might result in savings of... View full abstract»

• ### A Comparison of Reliability Growth Models

Publication Year: 1976, Page(s):49 - 51
Cited by:  Papers (6)
| | PDF (451 KB)

A reliability growth model is an analytic tool that accounts for changes in reliability due to design modifications and other corrective actions taken during the develpment, production, and use of a new piece of equipment. This paper describes a simulation study, and its conclusions, comparing four general reliability growth models that have been proposed in the reliability literature. Details of ... View full abstract»

• ### Positions Available

Publication Year: 1976, Page(s): 51
| PDF (160 KB)
• ### Rapid Testing for Noise Immunity of Electron Devices

Publication Year: 1976, Page(s):52 - 53
Cited by:  Papers (4)
| | PDF (294 KB)

Current switching in power control devices sometimes has serious noise difficulties. This paper presents a method of testing and measuring noise immunity. The noise immunity of a thyristor with magnetic core or unijunction transistor is analyzed and measured. The experiment agrees well with the theory. View full abstract»

• ### Computation of Loss-of-Load Probability

Publication Year: 1976, Page(s):54 - 55
Cited by:  Papers (1)
| | PDF (284 KB)

When the reliability of an electric power system is evaluated by the Loss-of-Load Probability (LOLP) method, it is customary to take into account the uncertainty in load forecasts by associating a peak-load distribution (as a parameter expressing the uncertainty) with the assumed daily peak-load duration curve, then to compute the unconditional LOLP as an average of the conditional LOLP weighted b... View full abstract»

## Aims & Scope

IEEE Transactions on Reliability is concerned with the problems involved in attaining reliability, maintaining it through the life of the system or device, and measuring it.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
W. Eric Wong
University of Texas at Dallas
Advanced Res Ctr for Software Testing and Quality Assurance

ewong@utdallas.edu