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Author

Byeonghui Park

ORCID: 0000-0003-4233-612X
Observed ORCID: 0000-0003-4233-612X
OpenAlex ID: A5070990835
A quantitative diagnostic method of feature coordination for machine learning model with massive data from rotary machine
2022 · Yoonjae Lee, Byeonghui Park, et al. · Expert Systems with Applications · 23
Fault diagnosis based on the quantification of the fault features in a rotary machine
2020 · Jongsu Lee, Byeonghui Park, et al. · Applied Soft Computing · 20
Structural Optimization of Scarfing Machine with Acceleration Profile and Multi-Objective Genetic Algorithm Approach
2024 · Sangbin Lee, Yoonjae Lee, et al. · Machines · 7
Tool-Condition Diagnosis Model with Shock-Sharpening Algorithm for Drilling Process
2022 · Byeonghui Park, Yoonjae Lee, et al. · Sensors · 6
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Tool Condition Monitoring Using Deep Learning in Machining Process
2020 · Byeonghui Park, Yoonjae Lee, et al. · Journal of the Korean Society for Precision Engineering · 2
A Development on the Fault Prognosis of Bearing with Empirical Mode Decomposition and Artificial Neural Network
2016 · Byeonghui Park, Changwoo Lee · Journal of the Korean Society for Precision Engineering · 2
딥 러닝을 활용한 공구 상태 진단
2020 · Byeonghui Park, Yoonjae Lee, et al.
Works count: 7
Citation count: 60
H-index: 4
I10-index: 2
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