Outputs (143)

Survival signature for reliability evaluation of a multi-state system with multi-state components (2021)
Journal Article
Qin, J., & Coolen, F. (2022). Survival signature for reliability evaluation of a multi-state system with multi-state components. Reliability Engineering & System Safety, 218(Part A), Article 108129. https://doi.org/10.1016/j.ress.2021.108129

Survival signature technology has recently attracted increasing attention for its merits on quantifying reliability of systems with multiple types of components. In order to implement reliability evaluation of multi-state system (MSS), computing meth... Read More about Survival signature for reliability evaluation of a multi-state system with multi-state components.

Reliability analysis for systems based on degradation rates and hard failure thresholds changing with degradation levels (2021)
Journal Article
Chang, M., Huang, X., Coolen, F., & Coolen-Maturi, T. (2021). Reliability analysis for systems based on degradation rates and hard failure thresholds changing with degradation levels. Reliability Engineering & System Safety, 216, Article 108007. https://doi.org/10.1016/j.ress.2021.108007

Degradation-shock failure processes widely exist in practice, and extensive work has been carried out to better describe such processes. In this paper, a new model is developed for reliability analysis of systems subject to dependent degradation-shoc... Read More about Reliability analysis for systems based on degradation rates and hard failure thresholds changing with degradation levels.

Survival Signatures for System Reliability (2021)
Book Chapter
Coolen, F. P., & Coolen‐Maturi, T. (2022). Survival Signatures for System Reliability. In Wiley StatsRef: Statistics Reference Online. Wiley. https://doi.org/10.1002/9781118445112.stat08331

In system reliability, the structure function models functioning of a system for given states of its components. The survival signature provides a useful summary of the structure function to aid quantification of system reliability with components of... Read More about Survival Signatures for System Reliability.

The survival signature for quantifying system reliability: an introductory overview from practical perspective (2021)
Book Chapter
Coolen, F., & Coolen-Maturi, T. (2021). The survival signature for quantifying system reliability: an introductory overview from practical perspective. In C. van Gulijk, & E. Zaitseva (Eds.), Reliability Engineering and Computational Intelligence (23-37). Springer Verlag. https://doi.org/10.1007/978-3-030-74556-1_2

The structure function describes the functioning of a system dependent on the states of its components, and is central to theory of system reliability. The survival signature is a summary of the structure function which is sufficient to derive the sy... Read More about The survival signature for quantifying system reliability: an introductory overview from practical perspective.

A monotonicity property of weighted log-rank tests (2021)
Journal Article
Coolen-Maturi, T., & Coolen, F. (2023). A monotonicity property of weighted log-rank tests. Communications in Statistics - Theory and Methods, 52(7), 2402-2416. https://doi.org/10.1080/03610926.2021.1952270

The logrank test is a well-known nonparametric test which is often used to compare the survival distributions of two samples including right-censored observations, it is also known as the Mantel-Haenszel test. The Gρ family of tests, generalizes the... Read More about A monotonicity property of weighted log-rank tests.

Imprecise inference based on the log-rank test for accelerated life testing (2021)
Journal Article
Coolen, F., Ahmadini, A., & Coolen-Maturi, T. (2021). Imprecise inference based on the log-rank test for accelerated life testing. Metrika, 84, 913-925. https://doi.org/10.1007/s00184-021-00807-4

This paper presents an imprecise predictive inference method for accelerated life testing. The method is largely nonparametric, with a basic parametric function to link different stress levels. The log-rank test is used to provide imprecision for the... Read More about Imprecise inference based on the log-rank test for accelerated life testing.

The joint survival signature of coherent systems with shared components (2020)
Journal Article
Coolen-Maturi, T., Coolen, F. P., & Balakrishnan, N. (2021). The joint survival signature of coherent systems with shared components. Reliability Engineering & System Safety, 207, Article 107350. https://doi.org/10.1016/j.ress.2020.107350

The concept of joint bivariate signature, introduced by Navarro et al. [13], is a useful tool for quantifying the reliability of two systems with shared components. As with the univariate system signature, introduced by Samaniego [17], its applicatio... Read More about The joint survival signature of coherent systems with shared components.

A practical reliability design method considering the compound weight and load-sharing (2020)
Journal Article
Li, Y., Coolen, F., & Zhu, C. (2020). A practical reliability design method considering the compound weight and load-sharing. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 127, 17-32. https://doi.org/10.1016/j.ijar.2020.09.001

Reliability design is an important work in the early design stage of offshore wind turbines. Due to the incomplete considerations and poor feasibility of the drawbacks for existing methods, a set of the practical reliability design method is proposed... Read More about A practical reliability design method considering the compound weight and load-sharing.

Nonparametric predictive inference for test reproducibility by sampling future data orderings (2020)
Journal Article
Coolen, F., & Marques, F. (2020). Nonparametric predictive inference for test reproducibility by sampling future data orderings. Journal of statistical theory and practice, 14(4), Article 62. https://doi.org/10.1007/s42519-020-00127-2

This paper considers nonparametric predictive inference (NPI) for reproducibility of likelihood ratio tests with the test criterion in terms of the sample mean. Given a sample of size n used for the actual test, the NPI approach provides lower and up... Read More about Nonparametric predictive inference for test reproducibility by sampling future data orderings.

Nonparametric predictive inference bootstrap with application to reproducibility of the two-sample Kolmogorov-Smirnov test (2020)
Journal Article
Coolen, F., & Bin Himd, S. (2020). Nonparametric predictive inference bootstrap with application to reproducibility of the two-sample Kolmogorov-Smirnov test. Journal of statistical theory and practice, 14(2), Article 26. https://doi.org/10.1007/s42519-020-00097-5

This paper introduces a new bootstrap method based on the nonparametric predictive inference (NPI) approach to statistics. NPI is a frequentist statistics framework which explicitly focuses on prediction of future observations. The NPI framework enab... Read More about Nonparametric predictive inference bootstrap with application to reproducibility of the two-sample Kolmogorov-Smirnov test.