Predictive maintenance modelling for through-life engineering services
Predictive maintenance needs to forecast the numbers of rejections at any overhaul point
before any failure occurs in order to accurately and proactively take adequate maintenance …
before any failure occurs in order to accurately and proactively take adequate maintenance …
A data-driven failure prognostics method based on mixture of Gaussians hidden Markov models
DA Tobon-Mejia, K Medjaher… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
This paper addresses a data-driven prognostics method for the estimation of the Remaining
Useful Life (RUL) and the associated confidence value of bearings. The proposed method is …
Useful Life (RUL) and the associated confidence value of bearings. The proposed method is …
A neural network filtering approach for similarity-based remaining useful life estimation
O Bektas, JA Jones, S Sankararaman… - … International Journal of …, 2019 - Springer
The role of prognostics and health management is ever more prevalent with advanced
techniques of estimation methods. However, data processing and remaining useful life …
techniques of estimation methods. However, data processing and remaining useful life …
An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction
Remaining useful life (RUL) prediction is crucial for the implementation of predictive
maintenance strategies. While significant research has been conducted in model-based and …
maintenance strategies. While significant research has been conducted in model-based and …
Prognostics and health management for maintenance practitioners-Review, implementation and tools evaluation.
In literature, prognostics and health management (PHM) systems have been studied by
many researchers from many different engineering fields to increase system reliability …
many researchers from many different engineering fields to increase system reliability …
Prognostic degradation models for computing and updating residual life distributions in a time-varying environment
N Gebraeel, J Pan - IEEE Transactions on Reliability, 2008 - ieeexplore.ieee.org
This paper presents a degradation modeling framework for computing condition-based
residual life distributions of partially degraded systems and/or components functioning under …
residual life distributions of partially degraded systems and/or components functioning under …
Joint modeling of degradation and lifetime data for RUL prediction of deteriorating products
Degradation is one of the major root causes of system failure. In some applications, the
degradation levels are different upon failure, in which the fixed failure threshold assumption …
degradation levels are different upon failure, in which the fixed failure threshold assumption …
Prognostics uncertainty reduction by fusing on-line monitoring data based on a state-space-based degradation model
The objective of this study is to develop a state-space-based degradation model and
associated computational techniques to reduce failure prognostics uncertainty by fusing on …
associated computational techniques to reduce failure prognostics uncertainty by fusing on …
A neural network-based joint prognostic model for data fusion and remaining useful life prediction
With the rapid development of sensor and information technology, now multisensor data
relating to the system degradation process are readily available for condition monitoring and …
relating to the system degradation process are readily available for condition monitoring and …
Two-phase degradation modeling and remaining useful life prediction using nonlinear wiener process
J Lin, G Liao, M Chen, H Yin - Computers & Industrial Engineering, 2021 - Elsevier
Remaining useful life (RUL) is an essential part of prognostic and health management,
which can be employed to enhance the reliability and reduce the maintenance cost. For …
which can be employed to enhance the reliability and reduce the maintenance cost. For …