28 May 20251cites
Artificial Dataset Generation and Bagging Ensemble Learning for Enhanced Fault Detection in Induction MotorsPublisher siteActive, last published 2026
In machine fault diagnosis techniques
Ange Taboria
Baelongandi
Scholar“Research focused on Machine Fault Diagnosis Techniques and adjacent fields.”
Université de Kinshasa (UNIKIN)
DR Congo
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01 · About the work
What I study
nge Taboria Baelongandi is a researcher working on Machine Fault Diagnosis Techniques. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Ange's work has been cited 2 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Machine Fault Diagnosis Techniques×3Mineral Processing and Grinding×2
04 · Where I am
Affiliations
Affiliation on published researchUniversity of Kinshasa, DR CongoDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
3 works7 Oct 20243cites
Generation of Artificial Datasets for Fault Detection in Induction Motors Using Extreme Learning MachinePublisher site28 Sept 20241cites
A Stacking Ensemble Technique for Mechanical Fault Detection in Induction MotorsPublisher siteExpert Academic Profiles go further
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