Byeong-Keun Choi

Publication Activity (10 Years)

Years Active: 2009-2015
Publications (10 Years): 4

Top Topics

Fault Diagnosis

Induction Motor

Condition Monitoring

Top Venues

Expert Syst. Appl.

Publications

Jaeyoung Kim, Myeongsu Kang, In-Kyu Jeong, Heesung Jun, Jong-Myon Kim, Byeong-Keun Choi
Real-time and energy-efficient bearing fault diagnosis using discriminative wavelet-based fault features on a multi-core system. ICPHM (2015)
Phuong Nguyen, Myeongsu Kang, Jong-Myon Kim, Byung-Hyun Ahn, Jeong-Min Ha, Byeong-Keun Choi
Robust condition monitoring of rolling element bearings using de-noising and envelope analysis with signal decomposition techniques. Expert Syst. Appl. 42 (22) (2015)
Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim, Andy Chit Chiow Tan, Eric Y. Kim, Byeong-Keun Choi
Corrigendum to "Reliable fault diagnosis for incipient low-speed bearings using feature analysis based on a binary bat algorithm" [Inform. Sci. 294(2015) 423-438]. Inf. Sci. 311 (2015)
Wahyu Caesarendra, Jong Myeong Lee, Jung Min Ha, Byeong-Keun Choi
Slew bearing early damage detection based on multivariate state estimation technique and sequential probability ratio test. AIM (2015)
Van Tung Tran, Faisal AlThobiani, Andrew D. Ball, Byeong-Keun Choi
An application to transient current signal based induction motor fault diagnosis of Fourier-Bessel expansion and simplified fuzzy ARTMAP. Expert Syst. Appl. 40 (13) (2013)
Hack-Eun Kim, Andy Chit Chiow Tan, Joseph Mathew, Byeong-Keun Choi
Bearing fault prognosis based on health state probability estimation. Expert Syst. Appl. 39 (5) (2012)
Achmad Widodo, Eric Y. Kim, Jong-Duk Son, Bo-Suk Yang, Andy Chit Chiow Tan, Dong-Sik Gu, Byeong-Keun Choi, Joseph Mathew
Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine. Expert Syst. Appl. 36 (3) (2009)