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M. Kersemans

7 papers hereh-index 282.2k citations229 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • physics.app-ph2
  • cs.CV1
  • eess.SP1
  • physics.data-an1

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedA novel multi-classifier information fusion based on Dempster-Shafer theory: application to vibration-based fault detection

36 citations · 88 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

physics.data-an2021

Vibrational quality classification of metallic turbine blades under measurement uncertainty

Liangliang Cheng, Vahid Yaghoubi, Wim V. Paepegem +1

Non-destructive testing on metallic turbine blades is a challenging task due to their complex geometry. Vibrational test-ing such as Process Compensated Resonance Testing (PCRT) ha…

eess.SP2021★ 20 cited

CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition

Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem +1

Nowadays, using vibration data in conjunction with pattern recognition methods is one of the most common fault detection strategies for structures. However, their performances depe…

cs.LG2021

Vibration-Based Condition Monitoring By Ensemble Deep Learning

Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem +1

Vibration-based techniques are among the most common condition monitoring approaches. With the advancement of computers, these approaches have also been improved such that recently…

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