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Bernadin Namoano

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Lecturer in Digital twin and Machine Learning

Cranfield University

United Kingdom

Research Interests

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Professors in United Kingdom

Recent Grants

Grant: Close

Big data for predictive maintenance

Open Date: 2017-09-20

Close Date: 2021-09-19

Articles (14)

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2025

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2023

Collaborators (11)

Christina Latsou

Cranfield University

UNITED KINGDOM

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John Ahmet Erkoyuncu

Cranfield University

UNITED KINGDOM

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Yizhong Wang

Cranfield University

UNITED KINGDOM

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Rok Vrabič

University of Ljubljana

SLOVENIA

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Sri Naga Pavan Addepalli

Lecturer in Degradation Assessment

Cranfield University

UNITED KINGDOM

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Rajkumar Roy

Dean

Loughborough University

UNITED KINGDOM

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Maryam Farsi

Lecturer

Cranfield University

UNITED KINGDOM

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Andrew Starr

Professor of Maintenance Systems

Cranfield University

UNITED KINGDOM

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Isidro Durazo-Cardenas

Cranfield University

UNITED KINGDOM

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Oluseyi Ayodeji Oyedeji

Senior Lecturer in Computer Science

University of Northampton

UNITED KINGDOM

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Tillman Weyde

Reader

City, University of London

UNITED KINGDOM

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ApplyKite TwinLearns as you apply

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Bernadin Namoano

Research Interests

Make your next move.

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Recent Grants

Articles (14)

Multi-channel anomaly detection using graphical models

Study of Visualization Modalities on Industrial Robot Teleoperation for Inspection in a Virtual Co-Existence Space

False alarm reduction in railway track quality inspections using machine learning

Named Entity Recognition in Aviation Products Domain Based on BERT

Detecting wheel slip from railway operational data through a combined wavelet, long short-term memory and neural network classification method

Spatiotemporal Analysis of Land Use and Land Cover Dynamics of Dinderesso and Peni Forests in Burkina Faso

From Prediction to Prescription: Large Language Model Agent for Context-Aware Maintenance Decision Support

Digital Twin Architecture for a Sustainable Control System in Aircraft Engines

Automation of knowledge extraction for degradation analysis

Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets

Cognitive data imputation: Case study in maintenance cost estimation

A full 3D reconstruction of rail tracks using a camera array

Designing a semantic based common taxonomy of mechanical component degradation to enable maintenance digitalisation

A robust design for lifecycle cost with reliability analysis integration

Collaborators (11)

Christina Latsou

John Ahmet Erkoyuncu

Yizhong Wang

Rok Vrabič

Sri Naga Pavan Addepalli

Rajkumar Roy

Maryam Farsi

Andrew Starr

Isidro Durazo-Cardenas

Oluseyi Ayodeji Oyedeji

Tillman Weyde

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