A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …
attention because of its promise to further optimize process design, quality control, health …
A review on condition-based maintenance optimization models for stochastically deteriorating system
Condition-based maintenance (CBM) is a maintenance strategy that collects and assesses
real-time information, and recommends maintenance decisions based on the current …
real-time information, and recommends maintenance decisions based on the current …
Failure prognosis and applications—A survey of recent literature
Fault diagnosis and prognosis are some of the most crucial functionalities in complex and
safety-critical engineering systems, and particularly fault diagnosis, has been a subject of …
safety-critical engineering systems, and particularly fault diagnosis, has been a subject of …
A survey of machine-learning techniques for condition monitoring and predictive maintenance of bearings in grinding machines
It is important to minimize the unscheduled downtime of machines caused by outages of
machine components in highly automated production lines. Considering machine tools such …
machine components in highly automated production lines. Considering machine tools such …
Remaining useful life estimation–a review on the statistical data driven approaches
XS Si, W Wang, CH Hu, DH Zhou - European journal of operational …, 2011 - Elsevier
Remaining useful life (RUL) is the useful life left on an asset at a particular time of operation.
Its estimation is central to condition based maintenance and prognostics and health …
Its estimation is central to condition based maintenance and prognostics and health …
RUL prediction of deteriorating products using an adaptive Wiener process model
Degradation modeling plays an important role in system health diagnosis and remaining
useful life (RUL) prediction. Recently, a class of Wiener process models with adaptive drift …
useful life (RUL) prediction. Recently, a class of Wiener process models with adaptive drift …
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 lithium-ion batteries based on spherical cubature particle filter
Lithium-ion batteries are critical components to provide power sources for commercial
products. To ensure a high reliability of lithium-ion batteries, prognostic actions for lithium …
products. To ensure a high reliability of lithium-ion batteries, prognostic actions for lithium …
[HTML][HTML] Degradation curves integration in physics-based models: Towards the predictive maintenance of industrial robots
P Aivaliotis, Z Arkouli, K Georgoulias… - Robotics and computer …, 2021 - Elsevier
Predictive maintenance has been proposed to maximize the overall plant availability of
modern manufacturing systems. To this end, research has been conducted mainly on data …
modern manufacturing systems. To this end, research has been conducted mainly on data …
Current status and future trends in the operation and maintenance of offshore wind turbines: A review
G Rinaldi, PR Thies, L Johanning - Energies, 2021 - mdpi.com
Operation and maintenance constitute a substantial share of the lifecycle expenditures of an
offshore renewable energy farm. A noteworthy number of methods and techniques have …
offshore renewable energy farm. A noteworthy number of methods and techniques have …