A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies

A Thelen, X Zhang, O Fink, Y Lu, S Ghosh… - Structural and …, 2022 - Springer
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 …

Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data

J Zhu, Z Ge, Z Song, F Gao - Annual Reviews in Control, 2018 - Elsevier
Industrial process data are usually mixed with missing data and outliers which can greatly
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …

[图书][B] Introduction to uncertainty quantification

TJ Sullivan - 2015 - books.google.com
This text provides a framework in which the main objectives of the field of uncertainty
quantification (UQ) are defined and an overview of the range of mathematical methods by …

[图书][B] Principles of system identification: theory and practice

AK Tangirala - 2018 - taylorfrancis.com
Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-
driven or measurement-based process operations, system identification is an interface that …

A unified architectural approach for cyberattack-resilient industrial control systems

C Zhou, B Hu, Y Shi, YC Tian, X Li… - Proceedings of the …, 2020 - ieeexplore.ieee.org
With the rapid development of functional requirements in the emerging Industry 4.0 era,
modern industrial control systems (ICSs) are no longer isolated islands, making them more …

Extended Kalman filtering for remaining-useful-life estimation of bearings

RK Singleton, EG Strangas… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Condition-based maintenance, which includes both diagnosis and prognosis of faults, is a
topic of growing interest for improving the reliability of electrical drives. Bearings constitute a …

State and parameter joint estimation of linear stochastic systems in presence of faults and non‐Gaussian noises

V Stojanovic, S He, B Zhang - International Journal of Robust …, 2020 - Wiley Online Library
Joint estimation of states and time‐varying parameters of linear stochastic systems is of
practical importance for fault diagnosis and fault tolerant control. The known fact is that …

[图书][B] Kalman filtering: Theory and Practice with MATLAB

MS Grewal, AP Andrews - 2014 - books.google.com
The definitive textbook and professional reference on Kalman Filtering–fully updated,
revised, and expanded This book contains the latest developments in the implementation …

Cooperative localization in wireless networks

H Wymeersch, J Lien, MZ Win - Proceedings of the IEEE, 2009 - ieeexplore.ieee.org
Location-aware technologies will revolutionize many aspects of commercial, public service,
and military sectors, and are expected to spawn numerous unforeseen applications. A new …

[图书][B] Kalman filtering

CK Chui, G Chen - 2017 - Springer
Kalman Filtering Page 1 Kalman Filtering Charles K. Chui Guanrong Chen with Real-Time
Applications Fifth Edition Page 2 Kalman Filtering Page 3 Charles K. Chui • Guanrong Chen …