1 안병현, "회전기계 결함신호 진단을 위한 신호처리 기술 개발" 한국소음진동공학회 24 (24): 555-561, 2014
2 정의필, "특징 추출과 검출 오차 최소화 알고리듬을 이용한 회전기계의 결함 진단" 한국소음진동공학회 16 (16): 27-33, 2006
3 장미, "은닉 마르코프 모델을 이용한 속도 변화가 있는 회전 기계의 상태 진단 기법" 한국소음진동공학회 22 (22): 413-421, 2012
4 이명준, "압축센싱과 통계학적 기법을 적용한 회전체 시스템의 상태진단" 한국소음진동공학회 26 (26): 651-659, 2016
5 Fassois, S. D, "Time-series Methods for Fault Detection and Identification in Vibrating Structures" 365 (365): 411-448, 2007
6 Feng, Z, "Recent Advances in Time-frequency Analysis Methods for Machinery Fault Diagnosis: A Review with Application Examples" 38 (38): 165-205, 2013
7 Zhao, X, "Multivariate EMD and Full Spectrum based Condition Monitoring for Rotating Machinery" 27 : 712-728, 2012
8 Shin, K, "Machinery Fault Diagnosis Using Two-channel Analysis Method Based on Fictitious System Frequency Response Function" 2015 : 7-, 2015
9 Jayaswal, P., "Machine Fault Signature Analysis" 2008 : 10-, 2008
10 Shin, K, "Fundamentals of Signal Processing for Sound and Vibration Engineers" Wiley 2008
1 안병현, "회전기계 결함신호 진단을 위한 신호처리 기술 개발" 한국소음진동공학회 24 (24): 555-561, 2014
2 정의필, "특징 추출과 검출 오차 최소화 알고리듬을 이용한 회전기계의 결함 진단" 한국소음진동공학회 16 (16): 27-33, 2006
3 장미, "은닉 마르코프 모델을 이용한 속도 변화가 있는 회전 기계의 상태 진단 기법" 한국소음진동공학회 22 (22): 413-421, 2012
4 이명준, "압축센싱과 통계학적 기법을 적용한 회전체 시스템의 상태진단" 한국소음진동공학회 26 (26): 651-659, 2016
5 Fassois, S. D, "Time-series Methods for Fault Detection and Identification in Vibrating Structures" 365 (365): 411-448, 2007
6 Feng, Z, "Recent Advances in Time-frequency Analysis Methods for Machinery Fault Diagnosis: A Review with Application Examples" 38 (38): 165-205, 2013
7 Zhao, X, "Multivariate EMD and Full Spectrum based Condition Monitoring for Rotating Machinery" 27 : 712-728, 2012
8 Shin, K, "Machinery Fault Diagnosis Using Two-channel Analysis Method Based on Fictitious System Frequency Response Function" 2015 : 7-, 2015
9 Jayaswal, P., "Machine Fault Signature Analysis" 2008 : 10-, 2008
10 Shin, K, "Fundamentals of Signal Processing for Sound and Vibration Engineers" Wiley 2008
11 Jiang, L, "Fault Diagnosis of Rotating Machinery Based on Multisensor Information Fusion Using SVM and Time-domain Features" 2014 : 8-, 2014
12 Bin, G. F, "Early Fault Diagnosis of Rotating Machinery Based on Wavelet Packets—Empirical Mode Decomposition Feature Extraction and Neural Network" 27 : 696-711, 2012
13 Peng, Y, "Current Status of Machine Prognostics in Condition-based Maintenance: a Review" 50 (50): 297-313, 2010
14 Hong, S, "Condition Assessment for the Performance Degradation of Bearing Based on a Combinatorial Feature Extraction Method" 27 : 159-166, 2014
15 Ahmad, R, "An Overview of Time-based and Condition-based Maintenance in Industrial Application" 63 (63): 135-149, 2012
16 Jardine, A. K. S, "A Review on Machinery Diagnostics and Prognostics Implementing Condition-based Maintenance" 20 (20): 1483-1510, 2006
17 Sinha, J. K, "A Future Possibility of Vibration Based Condition Monitoring of Rotating Machines" 34 (34): 231-240, 2013
18 손종덕, "3MW 풍력발전기 진동상태감시 및 진단시스템 프레임워크" 한국소음진동공학회 25 (25): 553-558, 2015