Bivariate nonlinear diffusion degradation process modeling via copula and MCMC
From MaRDI portal
Publication:1718567
DOI10.1155/2014/510929zbMath1407.62366OpenAlexW1975092019WikidataQ59068044 ScholiaQ59068044MaRDI QIDQ1718567
Publication date: 8 February 2019
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/510929
Characterization and structure theory for multivariate probability distributions; copulas (62H05) Reliability and life testing (62N05)
Related Items (4)
Degradation data analysis and remaining useful life estimation: a review on Wiener-process-based methods ⋮ Bivariate degradation modelling with marginal heterogeneous stochastic processes ⋮ Reliability modeling for systems with multiple degradation processes using inverse Gaussian process and copulas ⋮ Copula-based reliability analysis for a parallel system with a cold standby
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Statistical analysis of linear degradation and failure time data with multiple failure modes
- An introduction to copulas.
- Accelerated degradation models for failure based on geometric Brownian motion and gamma processes
- Wiener processes with random effects for degradation data
- Modelling accelerated degradation data using Wiener diffusion with a time scale transformation
- Time-variant reliability assessment and its sensitivity analysis of cutting tool under invariant machining condition based on Gamma process
- An expectation maximization algorithm to model failure times by continuous-time Markov chains
- Analysis of joint multiple failure mode and linear degradation data with renewals
- Bivariate Constant-Stress Accelerated Degradation Model and Inference
- Estimating failure time distribution and its parameters based on intermediate data from a Wiener degradation model
- Bayesian Modeling Using WinBUGS
- Accelerated Testing
- Determination of burn-in parameters and residual life for highly reliable products
- Bivariate degradation analysis of products based on Wiener processes and copulas
- Monte Carlo sampling methods using Markov chains and their applications
- Models for Variable-Stress Accelerated Life Testing Experiments Based on Wiener Processes and the Inverse Gaussian Distribution
This page was built for publication: Bivariate nonlinear diffusion degradation process modeling via copula and MCMC