dr. Colin Soete

PhD Thesis
open access

Fault detection and process monitoring on Industry 4.0 production lines using time series analysis

Colin Soete (UGent)

(2026)

Journal Article
A1
open access

Data-driven slip prediction in web processing machines using virtual sensors and ensemble machine learning

Colin Soete (UGent) , Jonas Van Der Donckt (UGent) , Nathan Vandemoortele (UGent) , Jasper De Viaene (UGent) , Jeroen De Maeyer (UGent) and Sofie Van Hoecke (UGent)

(2026) SENSORS. 26(9).

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Impact of window sizes and sensor quality on MCSA for misalignment fault detection

Colin Soete (UGent) , Jeroen Van Der Donckt, Nathan Vandemoortele (UGent) , Michaël Rademaker (UGent) and Sofie Van Hoecke (UGent)

(2025) INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. 141(12). p.6179-6194

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Quality in color : using knowledge graphs for enhanced quality control in an automotive paintshop

Bram Steenwinckel (UGent) , Colin Soete (UGent) , Pieter Moens (UGent) , Joris Mussche, Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2025) SEMANTIC WEB-ISWC 2024, PT III. In Lecture notes in computer science 15233. p.236-252

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A semi-supervised anomaly detection approach for detecting mechanical failures

Colin Soete (UGent) , Michaël Rademaker (UGent) and Sofie Van Hoecke (UGent)

(2024) AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING. 38.

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Conference Paper
C3
open access

A semi-supervised anomaly detection approach detecting mechanical failures

Colin Soete (UGent) , Michaël Rademaker (UGent) and Sofie Van Hoecke (UGent)

(2022) Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts.

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Journal Article
A1
open access

A semi-supervised approach with monotonic constraints for improved remaining useful life estimation

Diego Nieves Avendano (UGent) , Nathan Vandemoortele (UGent) , Colin Soete (UGent) , Pieter Moens (UGent) , Agusmian Partogi Ompusunggu, Dirk Deschrijver (UGent) and Sofie Van Hoecke (UGent)

(2022) SENSORS. 22(4).

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Journal Article
A1
open access

Scalable fleet monitoring and visualization for smart machine maintenance and industrial IoT applications

Pieter Moens (UGent) , Vincent Bracke (UGent) , Colin Soete (UGent) , Sander Vanden Hautte, Diego Nieves Avendano (UGent) , Ted Ooijevaar, Steven Devos, Bruno Volckaert (UGent) and Sofie Van Hoecke (UGent)

(2020) SENSORS. 20(15).

Academic Bibliography

dr. Colin Soete

Fault detection and process monitoring on Industry 4.0 production lines using time series analysis

Data-driven slip prediction in web processing machines using virtual sensors and ensemble machine learning

Impact of window sizes and sensor quality on MCSA for misalignment fault detection

Quality in color : using knowledge graphs for enhanced quality control in an automotive paintshop

A semi-supervised anomaly detection approach for detecting mechanical failures

A semi-supervised anomaly detection approach detecting mechanical failures

A semi-supervised approach with monotonic constraints for improved remaining useful life estimation

Scalable fleet monitoring and visualization for smart machine maintenance and industrial IoT applications

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