A review of prognostics and health management of machine tools
M Baur, P Albertelli, M Monno - The International Journal of Advanced …, 2020 - Springer
This paper presents a survey of the applications of prognostics and health management
maintenance strategy to machine tools. A complete perspective on this Industry 4.0 cutting …
maintenance strategy to machine tools. A complete perspective on this Industry 4.0 cutting …
Challenges to IoT-enabled predictive maintenance for industry 4.0
The Industry 4.0 paradigm is boosting the relevance of predictive maintenance (PdM) for
manufacturing and production industries. PdM strongly relies on Internet of Things (IoT) …
manufacturing and production industries. PdM strongly relies on Internet of Things (IoT) …
Metrics for offline evaluation of prognostic performance
Prognostic performance evaluation has gained significant attention in the past few years.*
Currently, prognostics concepts lack standard definitions and suffer from ambiguous and …
Currently, prognostics concepts lack standard definitions and suffer from ambiguous and …
Long-range dependence and heavy tail characteristics for remaining useful life prediction in rolling bearing degradation
W Song, H Liu, E Zio - Applied Mathematical Modelling, 2022 - Elsevier
In practice, the processes of degradation of inductive components and produced have long-
range dependence characteristic, whereby the future degradation evolution is related to …
range dependence characteristic, whereby the future degradation evolution is related to …
An adaptive recurrent neural network for remaining useful life prediction of lithium-ion batteries
Prognostics is an emerging science of predicting the health condition of a system (or its
components) based upon current and previous system states. A reliable predictor is very …
components) based upon current and previous system states. A reliable predictor is very …
Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm
The lithium-ion battery cycle life prediction with particle filter (PF) depends on the physical or
empirical model. However, in observation equation based on model, the adaptability and …
empirical model. However, in observation equation based on model, the adaptability and …
Uncertainty quantification and model validation of fatigue crack growth prediction
This paper presents a methodology for uncertainty quantification and model validation in
fatigue crack growth analysis. Several models–finite element model, crack growth model …
fatigue crack growth analysis. Several models–finite element model, crack growth model …
Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes
Data-driven remaining useful life (RUL) prediction approaches, especially those based on
deep learning (DL), have been increasingly applied to mechanical equipment. However, two …
deep learning (DL), have been increasingly applied to mechanical equipment. However, two …
Condition-based maintenance—an extensive literature review
This paper presents an extensive literature review on the field of condition-based
maintenance (CBM). The paper encompasses over 4000 contributions, analysed through …
maintenance (CBM). The paper encompasses over 4000 contributions, analysed through …
On applying the prognostic performance metrics
Prognostics performance evaluation has gained significant attention in the past few years.
As prognostics technology matures and more sophisticated methods for prognostic …
As prognostics technology matures and more sophisticated methods for prognostic …