17 results on '"Kim, Yunhan"'
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2. Machining quality monitoring (MQM) in laser-assisted micro-milling of glass using cutting force signals: an image-based deep transfer learning
3. A deep transferable motion-adaptive fault detection method for industrial robots using a residual–convolutional neural network
4. A health-adaptive time-scale representation (HTSR) embedded convolutional neural network for gearbox fault diagnostics
5. An image-based feature extraction method for fault diagnosis of variable-speed rotating machinery
6. Cepstrum-assisted empirical wavelet transform (CEWT)-based improved demodulation analysis for fault diagnostics of planetary gearboxes
7. A resilience measure formulation that considers sensor faults
8. Phase-based time domain averaging (PTDA) for fault detection of a gearbox in an industrial robot using vibration signals
9. FASER: Fault-affected signal energy ratio for fault diagnosis of gearboxes under repetitive operating conditions
10. Variance of energy residual (VER): An efficient method for planetary gear fault detection under variable-speed conditions
11. Life-cycle maintenance cost analysis framework considering time-dependent false and missed alarms for fault diagnosis
12. A positive energy residual (PER) based planetary gear fault detection method under variable speed conditions
13. Effect of Probiotic-Fortified Infant Formula on Infant Gut Health and Microbiota Modulation
14. A newly formulated resilience measure that considers false alarms
15. Machining quality monitoring (MQM) in laser-assisted micro-milling of glass using cutting force signals: an image-based deep transfer learning
16. Fatigue Crack Length Estimation and Prediction using Trans-fitting with Support Vector Regression
17. Toothwise Fault Identification for a Planetary Gearbox Based on a Health Data Map
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