Effective band-selection algorithm for rolling element bearing diagnosis using AE sensor data under noisy conditions. Structural and Multidisciplinary Optimization

Taejin Kim

Effective band-selection algorithm for rolling element bearing diagnosis using AE sensor data under noisy conditions. Structural and Multidisciplinary Optimization

Taejin Kim

Department of Industrial and Information Systems Engineering

Research output: Contribution to journal › Journal article › peer-review

Original language	Korean
Journal	Structural and Multidisciplinary Optimization
State	Published - 2022.09.1

Cite this

@article{d2d74901be194993b817981e4de202e6,

title = "Effective band-selection algorithm for rolling element bearing diagnosis using AE sensor data under noisy conditions. Structural and Multidisciplinary Optimization",

author = "Taejin Kim",

year = "2022",

month = sep,

day = "1",

language = "Korean",

journal = "Structural and Multidisciplinary Optimization",

issn = "1615-147X",

}