[PDF][PDF] 数据驱动的可靠性评估与寿命预测研究进展: 基于协变量的方法

喻勇, 司小胜, 胡昌华, 崔忠马, 李洪鹏 - 自动化学报, 2018 - aas.net.cn
摘要作为保障工业过程可靠性和经济性的重要技术, 可靠性评估与寿命预测在过去几十年得到了
越来越广泛的关注和长足的发展. 在实际应用中, 由于难以获取复杂, 高可靠性设备失效机理的 …

Deep extended hazard models for survival analysis

Q Zhong, JW Mueller, JL Wang - Advances in Neural …, 2021 - proceedings.neurips.cc
Unlike standard prediction tasks, survival analysis requires modeling right censored data,
which must be treated with care. While deep neural networks excel in traditional supervised …

Prediction of hard failures with stochastic degradation signals using Wiener process and proportional hazards model

J Man, Q Zhou - Computers & Industrial Engineering, 2018 - Elsevier
In this paper, we propose a method to predict the remaining useful life (RUL) of systems
subject to hard failures, which are probabilistically linked to system degradation signals …

Nonparametric profile monitoring in multi-dimensional data spaces

YC Hung, WC Tsai, SF Yang, SC Chuang… - Journal of Process …, 2012 - Elsevier
Profile monitoring has received increasingly attention in a wide range of applications in
statistical process control (SPC). In this work, we propose a framework for monitoring …

Remaining useful life prediction for hard failures using joint model with extended hazard

J Man, Q Zhou - Quality and Reliability Engineering …, 2018 - Wiley Online Library
In this paper, we investigate a joint modeling method for hard failures where both
degradation signals and time‐to‐event data are available. The mixed‐effects model is used …

Time-to-event analysis with unknown time origins via longitudinal biomarker registration

T Wang, SJ Ratcliffe, W Guo - Journal of the American Statistical …, 2023 - Taylor & Francis
In observational studies, the time origin of interest for time-to-event analysis is often
unknown, such as the time of disease onset. Existing approaches to estimating the time …

Semiparametric transformation joint models for longitudinal covariates and interval-censored failure time

CM Chen, P Shen, YK Tseng - Computational Statistics & Data Analysis, 2018 - Elsevier
In many clinical trials and epidemiology research, subjects are followed-up repeatedly, and
repeated measurements on longitudinal covariates as well as an observation on a possibly …

Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables

K Kang, X Song - Journal of Multivariate Analysis, 2022 - Elsevier
The investigation of the relationship between a time-to-event outcome and time-dependent
risk factors is often of great interest in longitudinal studies. However, the time-dependent risk …

風險回歸模型下時間相依ROC 曲線

WT Lin - 2021 - ir.lib.ncu.edu.tw
摘要(中) 醫學研究中, 受試者特徵曲線(Receiver Operating Characteristic curve, 簡稱ROC
曲線) 常被用於評估生物指標對疾病預測能力. 目前文獻研究在於建構時間相依ROC 曲線 …

Joint modelling of longitudinal 3MS scores and the risk of mortality among cognitively impaired individuals

CB Guure, NA Ibrahim, MB Adam, SM Said - PloS one, 2017 - journals.plos.org
Background Modified Mini-Mental State Examination (3MS) is an instrument administered by
trained personnel to examine levels of participants' cognitive function. However, the …