Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
[HTML][HTML] Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms
Transportation electrification has been fueled by recent advancements in the technology
and manufacturing of battery systems, but the industry yet is facing serious challenges that …
and manufacturing of battery systems, but the industry yet is facing serious challenges that …
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
On top of machine learning (ML) models, uncertainty quantification (UQ) functions as an
essential layer of safety assurance that could lead to more principled decision making by …
essential layer of safety assurance that could lead to more principled decision making by …
[HTML][HTML] The advance of digital twin for predictive maintenance: The role and function of machine learning
The recent advance of digital twin (DT) has greatly facilitated the development of predictive
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …
Digital twins in safety analysis, risk assessment and emergency management
Digital twins (DTs) represent an emerging technology that is currently leveraging the
monitoring of complex systems, the implementation of autonomous control systems, and …
monitoring of complex systems, the implementation of autonomous control systems, and …
Towards a digital twin framework in additive manufacturing: Machine learning and bayesian optimization for time series process optimization
Laser directed-energy deposition (DED) offers notable advantages in additive
manufacturing (AM) for producing intricate geometries and facilitating material functional …
manufacturing (AM) for producing intricate geometries and facilitating material functional …
Physics-informed machine learning in prognostics and health management: State of the art and challenges
Prognostics and health management (PHM) plays a constructive role in the equipment's
entire life health service. It has long benefited from intensive research into physics modeling …
entire life health service. It has long benefited from intensive research into physics modeling …
[HTML][HTML] Revam** structural health monitoring of advanced rail transit systems: A paradigmatic shift from digital shadows to digital twins
Advanced rail transit systems (ARTS), including high-speed rail and maglev trains, provide
enhanced transportation options to meet the growing demand for efficient transportation …
enhanced transportation options to meet the growing demand for efficient transportation …
A Physics-Constrained Bayesian neural network for battery remaining useful life prediction
In order to predict the remaining useful life (RUL) of lithium-ion batteries, a capacity
degradation model may be developed using either simplified physical laws or machine …
degradation model may be developed using either simplified physical laws or machine …
A Bayesian framework for digital twin-based control, monitoring, and data collection in wireless systems
Commonly adopted in the manufacturing and aerospace sectors, digital twin (DT) platforms
are increasingly seen as a promising paradigm to control, monitor, and analyze software …
are increasingly seen as a promising paradigm to control, monitor, and analyze software …