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 …
Remaining useful life prediction considering joint dependency of degradation rate and variation on time-varying operating conditions
H Wang, H Liao, X Ma - IEEE Transactions on Reliability, 2020 - ieeexplore.ieee.org
Remaining useful life (RUL) prediction under time-varying operating conditions is critical to
the prognostics and health management of rotating machinery. In the literature, both the …
the prognostics and health management of rotating machinery. In the literature, both the …
A framework for predicting the remaining useful life of a single unit under time-varying operating conditions
Product reliability in the field is important for a wide variety of critical applications such as
manufacturing, transportation, power generation, and health care. In particular, the …
manufacturing, transportation, power generation, and health care. In particular, the …
Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine
HT Pham, BS Yang, TT Nguyen - Mechanical Systems and Signal …, 2012 - Elsevier
Machine performance degradation assessment and remaining useful life (RUL) prediction
are of crucial importance in condition-based maintenance to reduce the maintenance cost …
are of crucial importance in condition-based maintenance to reduce the maintenance cost …
A model-based method for remaining useful life prediction of machinery
Remaining useful life (RUL) prediction allows for predictive maintenance of machinery, thus
reducing costly unscheduled maintenance. Therefore, RUL prediction of machinery appears …
reducing costly unscheduled maintenance. Therefore, RUL prediction of machinery appears …
Stochastic hybrid system approach to task-orientated remaining useful life prediction under time-varying operating conditions
J Long, C Chen, Z Liu, J Guo, W Chen - Reliability Engineering & System …, 2022 - Elsevier
Mechanical components mainly work under time-varying operating conditions, causing
considerable complexity and variability to degradation signals and making it difficult to …
considerable complexity and variability to degradation signals and making it difficult to …
Remaining useful life prediction of rolling element bearings based on simulated performance degradation dictionary
L Cui, X Wang, H Wang, H Jiang - Mechanism and Machine Theory, 2020 - Elsevier
Massive training samples are usually difficult to obtain in practice for remaining useful life
(RUL) prediction of rolling element bearings (REBs). Building simulated data sets is an …
(RUL) prediction of rolling element bearings (REBs). Building simulated data sets is an …
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 …
Degradation modeling and remaining useful life prediction for dependent competing failure processes
Remaining useful life (RUL) prediction is critical for ensuring the safe and efficient operation
of machinery. Due to the existence of multiple influencing factors, the degradation of …
of machinery. Due to the existence of multiple influencing factors, the degradation of …
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 …
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