Degradation modeling applied to residual lifetime prediction using functional data analysis
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Publication:641105
DOI10.1214/10-AOAS448zbMath1223.62156arXiv1107.5712MaRDI QIDQ641105
Nagi Gebraeel, Rensheng R. Zhou, Nicoleta Serban
Publication date: 21 October 2011
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1107.5712
nonparametric estimationfunctional principal component analysiscondition monitoringresidual life distributionsparse degradation signal
Nonparametric estimation (62G05) Empirical decision procedures; empirical Bayes procedures (62C12) Reliability and life testing (62N05)
Related Items (7)
Remaining useful life prediction: A multiple product partition approach ⋮ Dynamical functional prediction and classification, with application to traffic flow prediction ⋮ Optimal classification policy and comparisons for highly reliable products ⋮ Degradation modeling applied to residual lifetime prediction using functional data analysis ⋮ Degradation-based residual life prediction under different environments ⋮ A Wiener process model with truncated normal distribution for reliability analysis ⋮ The latent state hazard model, with application to wind turbine reliability
Uses Software
Cites Work
- Degradation modeling applied to residual lifetime prediction using functional data analysis
- Functional data analysis
- Inference from accelerated degradation and failure data based on Gaussian process models
- Nonlinear time series. Nonparametric and parametric methods
- Time-Varying Functional Regression for Predicting Remaining Lifetime Distributions from Longitudinal Trajectories
- Accelerated Testing
- Bayesian analysis for inverse gaussian lifetime data with measures of degradation
- Principal component models for sparse functional data
- Using Degradation Measures to Estimate a Time-to-Failure Distribution
- Functional Data Analysis for Sparse Longitudinal Data
- Models for Variable-Stress Accelerated Life Testing Experiments Based on Wiener Processes and the Inverse Gaussian Distribution
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