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by Thom Badings

On this page, we provide concise fact sheets for a selection of the publications and student projects done in collaboration with PrimaVera partners. These fact sheets are short summaries that provide an accessible, high-level overview of the performed research. In case of any questions in response to one of the fact sheets, feel free to contact us.

The Hague University of Applied Sciences

Change Point Detection Algorithms for Identifying Bearing Damage Onset

By Havikja van As (2025)
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The Hague University of Applied Sciences

Data Formats and Storage Solutions for Bearing Test System

By Casper Priem (2025)
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Rolsch Assetmanagement

Multi-Label Classification for Sewage Pipe Anomalies

By Matthijs Berkhout (2024)
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Sub title

On the way to effective data ambassadors: A post-intervention analysis

By Sjoerd Vermulen (2024)
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Royal Netherlands Aerospace Centre

Validation of a finite element impact wave propagation model

By Paul Bezes (2023)
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Royal Netherlands Navy

Building a knowing maintenance organization

By Quinty Mooij (2023)
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Fraunhofer Innovation Platform, University of Twente

A Comparison of Anomaly Detection Algorithms with applications on Recoater Streaking in an Additive Manufacturing Process

By Reinier Stribos (2023)
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Alfa Laval, Radboud University

Sprayer Issue Detection in Alfa Laval’s PureSOx using Data-Driven Approaches

By Loes Kruger (2022)
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Koninklijke Marine, Eindhoven University of Technology

Human-Related Barriers for Implementation of Predictive Maintenance at the Dutch Navy

By Danny Brus (2022)
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Rolsch Asset Management, Radboud University

Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks

By David Kerkkamp (2022)
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NS, University of Twente

A Framework for HVAC Malfunction Detection using Machine Learning

By Tom Veldman (2022)
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Koninklijke Marine, Eindhoven University of Technology

Maintenance Strategy for a Hull Coating

By Evie Hendriks (2021)
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The Hague University of Applied Sciences

Test Set-up for Failure Data Generation of Rotating Machines

By Alieh Alipour (2021)
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Alfa Laval, Radboud University

Optimal Maintenance Strategies for an Industrial Scrubber System

By Ilse Pool (2021)
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Radboud University

Unsupervised Anomaly Detection Algorithms on Real-World Data: How Many Do We Need?

By Roel Bouman
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Radboud University, University of Twente

Robust Analysis of Fault Trees with Uncertain Failure Rates

By Thom Badings
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Dutch Railways, Eindhoven University of Technology

Maintenance Planning When Information Quality Depends on the Environment

By Ragnar Eggertsson
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Rolsch Assetmanagement, University of Twente

Prognostics for Efficient Maintenance Planning of Infrastructure Networks

By Lisandro A. Jimenez-Roa
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University of Twente

Hybrid Prognostics for Predictive Maintenance

By Luc Keizers
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Alfa Laval, Radboud University

Sprayer Issue Detection in Alfa Laval’s PureSOx Using Data-Driven Approaches

By Loes Kruger
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ASML, Eindhoven University of Technology

Finding Causal Relations in Dynamical Data with Locally Linear Models

By Alexander Mey
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Eindhoven University of Technology

Behavioral Maintenance Management

By Bas van Oudenhoven
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National Aerospace Laboratory, University of Twente

Dynamics-Based Impact Identification Method for Composite Structures

By Natália Ribeiro Marinho
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University of Twente

Selection of Prognostic Approaches: A Centrifugal Pump Case

By Núbia Silveira
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Radboud University

Reliable Offline RL in POMDPs: Safe Policy Improvement for POMDPs via Finite-State Controllers

By Thiago D. Simão
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Strukton Rail, Saxion University of Applied Sciences

Semantic Segmentation of Terrestrial Laser Scans of Railway Catenary Arches: A Use Case Perspective

By Bram Ton
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University of Twente

Data-Driven Fault Tree Creation

By Matthias Volk
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ASML, Eindhoven University of Technology

Robust Data-Driven Sparse Parts Inventory Management Under Uncertain Demand

By Zhao Kang
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