[HTML][HTML] Advances in Integrated System Health Management for mission-essential and safety-critical aerospace applications
Abstract Integrated System Health Management (ISHM) is a promising technology that fuses
sensor data and historical state-of-health information of components and subsystems to …
sensor data and historical state-of-health information of components and subsystems to …
Intelligent maintenance systems and predictive manufacturing
With continued global market growth and an increasingly competitive environment,
manufacturing industry is facing challenges and desires to seek continuous improvement …
manufacturing industry is facing challenges and desires to seek continuous improvement …
故障预测与健康管理技术综述
彭宇， 刘大同， 彭喜元 - 电子测量与仪器学报, 2010 - jemi.cnjournals.com
2010年第24卷第1期文章目次 网站首页 杂志简介 投稿须知 在线阅读 欢迎订阅 招商合作 联系
我们 English 首页 > 过刊浏览 2010年第24卷第1期文章目次 全选 显示方式: | 故障预测与健康 …
我们 English 首页 > 过刊浏览 2010年第24卷第1期文章目次 全选 显示方式: | 故障预测与健康 …
A review on deep learning applications in prognostics and health management
Deep learning has attracted intense interest in Prognostics and Health Management (PHM),
because of its enormous representing power, automated feature learning capability and best …
because of its enormous representing power, automated feature learning capability and best …
An adaptive prognostic approach via nonlinear degradation modeling: Application to battery data
XS Si - IEEE Transactions on Industrial Electronics, 2015 - ieeexplore.ieee.org
Remaining useful life (RUL) estimation via degradation modeling is considered as one of
the most central components in prognostics and health management. Current RUL …
the most central components in prognostics and health management. Current RUL …
Overview of explainable artificial intelligence for prognostic and health management of industrial assets based on preferred reporting items for systematic reviews and …
Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials,
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
Estimating remaining useful life with three-source variability in degradation modeling
XS Si, W Wang, CH Hu, DH Zhou - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The use of the observed degradation data of a system can help to estimate its remaining
useful life (RUL). However, the degradation progression of the system is typically stochastic …
useful life (RUL). However, the degradation progression of the system is typically stochastic …
[HTML][HTML] Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo
The estimation of remaining useful life (RUL) of machinery is a major task in prognostics and
health management (PHM). Recently, prognostic performance has been enhanced …
health management (PHM). Recently, prognostic performance has been enhanced …
Estimating the end-of-life of PEM fuel cells: Guidelines and metrics
Prognostics applications on PEMFC are developing these last years. Indeed, taking decision
to extend the lifetime of a PEMFC stack based on behavior and remaining useful life …
to extend the lifetime of a PEMFC stack based on behavior and remaining useful life …
Artificial intelligence-based data-driven prognostics in industry: A survey
MA El-Brawany, DA Ibrahim, HK Elminir… - Computers & Industrial …, 2023 - Elsevier
In the age of Industry 5.0, prognostics and health management (PHM) is very important for
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …