Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction
Reliability of prognostics and health management systems relies upon accurate
understanding of critical components' degradation process to predict the remaining useful …
understanding of critical components' degradation process to predict the remaining useful …
Remaining useful life prediction of individual units subject to hard failure
To develop a cost-effective condition-based maintenance strategy, accurate prediction of the
Remaining Useful Life (RUL) is the key. It is known that many failure mechanisms in …
Remaining Useful Life (RUL) is the key. It is known that many failure mechanisms in …
A hybrid prognostic method based on gated recurrent unit network and an adaptive Wiener process model considering measurement errors
Remaining useful life (RUL) prediction is fundamental to prognostics and health
management (PHM). Considering the advantages of both model-based and data-driven …
management (PHM). Considering the advantages of both model-based and data-driven …
Direct remaining useful life estimation based on support vector regression
R Khelif, B Chebel-Morello… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Prognostics is a major activity in the field of prognostics and health management. It aims at
increasing the reliability and safety of systems while reducing the maintenance cost by …
increasing the reliability and safety of systems while reducing the maintenance cost by …
[HTML][HTML] Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods
C Ferreira, G Gonçalves - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Approaches such as Cyber-Physical Systems (CPS), Internet of Things (IoT),
Internet of Services (IoS), and Data Analytics have built a new paradigm called Industry 4.0 …
Internet of Services (IoS), and Data Analytics have built a new paradigm called Industry 4.0 …
Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model
The growth of the Industrial Internet of Things (IIoT) has generated a renewed emphasis on
research of prognostic degradation modeling whereby degradation signals, such as …
research of prognostic degradation modeling whereby degradation signals, such as …
Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction
Prognostics focuses on predicting the future performance of a system, specifically the time at
which the system no long performs its desired functionality, its time to failure. As an important …
which the system no long performs its desired functionality, its time to failure. As an important …
A generalized remaining useful life prediction method for complex systems based on composite health indicator
As one of the key techniques in Prognostics and Health Management (PHM), accurate
Remaining Useful Life (RUL) prediction can effectively reduce the number of downtime …
Remaining Useful Life (RUL) prediction can effectively reduce the number of downtime …
Predictive maintenance of systems subject to hard failure based on proportional hazards model
The remaining useful lifetime (RUL) estimated from the in-situ degradation data has shown
to be useful for online predictive maintenance. In the literature, the RUL is often estimated by …
to be useful for online predictive maintenance. In the literature, the RUL is often estimated by …
Predictive maintenance management using sensor-based degradation models
KA Kaiser, NZ Gebraeel - … and Cybernetics-Part A: Systems and …, 2009 - ieeexplore.ieee.org
This paper presents a sensory-updated degradation-based predictive maintenance policy
(herein referred to as the SUDM policy). The proposed maintenance policy utilizes …
(herein referred to as the SUDM policy). The proposed maintenance policy utilizes …