[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 …
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
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
trained personnel to examine levels of participants' cognitive function. However, the …