A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept

An intelligent scheme for big data recovery in Internet of Things based on Multi-Attribute assistance and Extremely randomized trees

(2021) Hongju Cheng et al.   INFORMATION SCIENCES

Digital Twin-driven online anomaly detection for an automation system based on edge intelligence

(2021) Huiyue Huang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects

(2021) Georgios Falekas et al.   Energies

Potential for combining semantics and data analysis in the context of digital twins

(2021) Birgit Vogel-Heuser et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Fault Diagnosis of Intelligent Production Line Based on Digital Twin and Improved Random Forest

(2021) Kai Guo et al.   Applied Sciences-Basel

Wind Turbine Gearbox Anomaly Detection Based on Adaptive Threshold and Twin Support Vector Machines

(2021) Harsh Dhiman et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review

(2021) Joerg Leukel et al.   JOURNAL OF MANUFACTURING SYSTEMS

Enhanced anomaly scores for isolation forests

(2021) Antonella Mensi et al.   PATTERN RECOGNITION

Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

(2021) Min Xia et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Digital Twins of the Water Cooling System in a Power Plant Based on Fuzzy Logic

(2021) Carlos Antonio Alves de Araujo Junior et al.   SENSORS

A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

(2021) Ziqi Huang et al.   SENSORS

Rule extraction in unsupervised anomaly detection for model explainability: Application to OneClass SVM

(2021) Alberto Barbado et al.   EXPERT SYSTEMS WITH APPLICATIONS

The application of machine learning for the Prognostics and Health Management of control element drive system

(2020) Jae-Cheon Jung et al.   Nuclear Engineering and Technology

Semi-automatic geometric digital twinning for existing buildings based on images and CAD drawings

(2020) Qiuchen Lu et al.   AUTOMATION IN CONSTRUCTION

On the requirements of digital twin-driven autonomous maintenance

(2020) Samir Khan et al.   ANNUAL REVIEWS IN CONTROL

Predictive maintenance in the Industry 4.0: A systematic literature review

(2020) Tiago Zonta et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Fault diagnosis based on extremely randomized trees in wireless sensor networks

(2020) Umer Saeed et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Anomaly detection method based on the deep knowledge behind behavior patterns in industrial components. Application to a hydropower plant

(2020) Pablo Calvo-Bascones et al.   COMPUTERS IN INDUSTRY

Smart anomaly detection in sensor systems: A multi-perspective review

(2020) L. Erhan et al.   Information Fusion

Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning

(2020) Andrea Castellani et al.   IEEE Transactions on Industrial Informatics

Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators

(2020) Mine Kerpicci et al.   IEEE Transactions on Neural Networks and Learning Systems

Detection and Differentiation of Replay Attack and Equipment Faults in SCADA Systems

(2020) Dan Li et al.   IEEE Transactions on Automation Science and Engineering

Data-driven digital twin technology for optimized control in process systems

(2019) Rui He et al.   ISA TRANSACTIONS

Context-Sensitive Modeling and Analysis of Cyber-Physical Manufacturing Systems for Anomaly Detection and Diagnosis

(2019) Miguel A. Saez et al.   IEEE Transactions on Automation Science and Engineering

Toward the digital twin of additive manufacturing: Integrating thermal simulations, sensing, and analytics to detect process faults

(2019) Aniruddha Gaikwad et al.   IISE Transactions

Robust Interpretable Deep Learning for Intelligent Fault Diagnosis of Induction Motors

(2019) Firas Ben Abid et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A Review on Prognostics Methods for Engineering Systems

(2019) Jian Guo et al.   IEEE TRANSACTIONS ON RELIABILITY

Extended Isolation Forest

(2019) Sahand Hariri et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Behavior Anomaly Indicators Based on Reference Patterns—Application to the Gearbox and Electrical Generator of a Wind Turbine

(2018) Angel Gil et al.   Energies

Experimentable Digital Twins—Streamlining Simulation-Based Systems Engineering for Industry 4.0

(2018) Michael Schluse et al.   IEEE Transactions on Industrial Informatics

Working mode in aircraft manufacturing based on digital coordination model

(2018) Feiyan Guo et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines

(2018) Zahra Ghafoori et al.   IEEE Transactions on Neural Networks and Learning Systems

Nonparametric estimators for quantile density function under length-biased sampling

(2018) Mahboubeh Akbari et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

Local density one-class support vector machines for anomaly detection

(2010) Jiang Tian et al.   NONLINEAR DYNAMICS

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS