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IEEE Transactions on Reliability is a peer-reviewed journal published by IEEE, covering Reliability and Maintenance Optimization, Software Reliability and Analysis Research, Statistical Distribution Estimation and Applications. Over its lifetime it has published 8,227 papers, which have received 186,132 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Reliability, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Reliability style. No sign-up. |
| Abbreviation (ISO-4) | TR |
| Publishes research in | Reliability and Maintenance Optimization Software Reliability and Analysis Research Statistical Distribution Estimation and Applications Probabilistic and Robust Engineering Design Risk and Safety Analysis |
| ISSN | 0018-9529 |
| Citation impact (2-yr) | 4.06 |
| h-index | 163 |
| i10-index | 3,436 |
| Top institutions publishing here | Beihang University |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This paper presents a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process (NHPP). The failure process is analyzed to develop a suitable meanvalue function for the NHPP; expressions are given for several performance measures. Actual software failure data are analyzed and compared with a previous analysis.
Remaining useful life (RUL) prediction of rolling element bearings plays a pivotal role in reducing costly unplanned maintenance and increasing the reliability, availability, and safety of machines. This paper proposes a hybrid prognostics approach for RUL prediction of rolling element bearings. First, degradation data of bearings are sparsely represented using relevance vector machine regressions with…
A simple generalization of the Weibull distribution is presented. The distribution is well suited for modeling bathtub failure rate lifetime data and for testing goodness-of-fit of the Weibull and negative exponential models as subhypotheses.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
This paper investigates a stochastic model for a software error detection process in which the growth curve of the number of detected software errors for the observed data is S-shaped. The software error detection model is a nonhomogeneous Poisson process where the mean-value function has an S-shaped growth curve. The model is applied to actual…
The Total Time on Test (TTT) concept is a useful tool in several reliability contexts. This note presents a new test statistic, based on the TTT plot, for testing if a random sample is generated from a life distribution with constant versus bathtub-shaped hazard rate.
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