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Integrated interval Mahalanobis classification system for the quality classification of turbine blades based on vibrational data incorporating measurement uncertainty
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- Journal Article
- A1
- open access
CNN-DST : ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition
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- Journal Article
- A1
- open access
A novel multi-classifier information fusion based on Dempster-Shafer theory : application to vibration-based fault detection
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- Journal Article
- A1
- open access
An ensemble classifier for vibration-based quality monitoring
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Modeling detrimental effects of high surface roughness on the fatigue behavior of additively manufactured Ti-6Al-4V alloys
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- Journal Article
- A1
- open access
Quality inspection of complex-shaped metal parts by vibrations and an integrated Mahalanobis classification system
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- Conference Paper
- C1
- open access
Data preparation for training CNNs : application to vibration-based condition monitoring
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- Conference Paper
- C1
- open access
Vibration-based condition monitoring by ensemble deep learning
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- Conference Paper
- C1
- open access
Vibrational quality classification of metallic turbine blades under measurement uncertainty
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Mahalanobis classification system (MCS) integrated with binary particle swarm optimization for robust quality classification of complex metallic turbine blades