Hybrid Bayesian-Copula-based risk assessment for tall buildings subject to wind loads considering various uncertainties

XW Zheng, HN Li, P Gardoni - Reliability Engineering & System Safety, 2023 - Elsevier
The aleatory and epistemic uncertainties coming from various sources have significant
impacts on the accuracy of risk estimates for structures under dynamic excitations. This …

A hybrid-learning decomposition algorithm for competing risk identification within fleets of complex engineering systems

H Zhou, TAL Genez, A Brintrup, AK Parlikad - Reliability Engineering & …, 2022 - Elsevier
There is an increasing interest in the reliability of complex engineering systems, especially
in the systems' through-life risk analysis. A complex system, like the civil aircraft engine …

Bayesian reliability analysis for copula based step-stress partially accelerated dependent competing risks model

C Zhang, L Wang, X Bai, J Huang - Reliability Engineering & System Safety, 2022 - Elsevier
The reliability of high-reliable and long-lifespan products in the presence of competing risks
are commonly derived based on a known acceleration model and a latent independent …

Statistical modeling and reliability analysis of multiple repairable systems with dependent failure times under perfect repair

ÉS Brito, VLD Tomazella, PH Ferreira - Reliability Engineering & System …, 2022 - Elsevier
In repairable systems, a fundamental aspect to be considered is to predict the reliability of
the systems under study. Establishing reliability models for multiple repairable systems …

Objective Bayesian inference for the Capability index of the Weibull distribution and its generalization

PL Ramos, MH Almeida, F Louzada, E Flores… - Computers & Industrial …, 2022 - Elsevier
The Weibull distribution plays an important role in reliability and quality control monitoring.
This model has been widely used to describe the process capability index (PCI) when data …

Inference of dependent left-truncated and right-censored competing risks data from a general bivariate class of inverse exponentiated distributions

L Wang, Y Lio, YM Tripathi, S Dey, F Zhang - Statistics, 2022 - Taylor & Francis
In this paper, inference is discussed for left-truncated and right-censored (LTRC) competing
risks data. For modelling the dependent competing risks variables, a flexible bivariate …

Flexible modelling of a bivariate degradation process with a shared frailty and an application to fatigue crack data

S Barui, D Mitra, N Balakrishnan - Reliability Engineering & System Safety, 2024 - Elsevier
Examples of units with two performance characteristics that degrade over time are
ubiquitous in reliability engineering. In this article, we develop a flexible model for bivariate …

Weighted Lindley frailty model: estimation and application to lung cancer data

A Mota, EA Milani, VF Calsavara, VLD Tomazella… - Lifetime Data …, 2021 - Springer
In this paper, we propose a novel frailty model for modeling unobserved heterogeneity
present in survival data. Our model is derived by using a weighted Lindley distribution as the …

Improved process capability assessment through semiparametric piecewise modeling

V Costa Soares, N Jerez-Lillo… - Journal of Statistical …, 2024 - Taylor & Francis
Piecewise models have gained popularity as a useful tool in reliability and quality
control/monitoring, particularly when the process data deviates from a normal distribution. In …

One-shot device test data analysis using non-parametric and semi-parametric inferential methods and applications

X Zhu, N Balakrishnan - Reliability Engineering & System Safety, 2022 - Elsevier
A one-shot device, such as an automobile airbag, electro-explosive unit or munition, is a
product that can be used only once. Its actual lifetime is unobservable, rendering the …