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- Journal Article
- A1
- open access
Probabilistic state–space modeling for robust condition monitoring of industrial equipment
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- Journal Article
- A1
- open access
A digital twin-based condition monitoring system to detect and resolve web slip at traction rollers in a web processing machine
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- Conference Paper
- C1
- open access
Active learning for gear defect detection in gearboxes
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Strategic annotation and quantification approach for gear pitting analysis with a vision condition monitoring system
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- Journal Article
- A1
- open access
Data-driven virtual sensing for probabilistic condition monitoring of solenoid valves
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Methodology for analysis and quantification of bearing fault signature using MCSA
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A review of condition monitoring of offshore wind turbines
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Motor current signal analysis for the diagnostics of localized bearing defects
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- Conference Paper
- C1
- open access
Online vision-assisted condition monitoring of gearboxes
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- Conference Paper
- C1
- open access
Vibration-based condition monitoring by ensemble deep learning