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Biography
Prof. Bo-Suk Yang


Prof. Bo-Suk Yang

Pukyong Nationa lUniversity, South Korean

 

Email: bsyang@pknu.ac.kr

 

Qualifications

 

1985  Ph.D., Kobe University, Japan,

1980  M.E., Pukyong National University, Korea

1978  B.E., Pukyong National University, Korea

 

Publications (Selected)

  1. A. Widodo, B.S. Yang, Application of Nonlinear Feature Extraction and Support Vector Machines for Fault Diagnosis of Induction Motors, Expert Systems with Applications, 33(1), 241-250, 2007
  2. Y.H. Kim, A. Tan, B.S. Yang, W.C. Kim, B.K. Choi, Y.S. An, Optimum Shape Design of Rotating Shaft by ESO Method, Journal of Mechanical Science and Technology, 21(7), 1039-1047, 2007
  3. A. Widodo, B.S. Yang, Support Vector Machine in Machine Condition Monitoring and Fault Diagnosis, Mechanical Systems and Signal Processing, 21(6), 2560-2574, 2007
  4. G. Niu, J.D. Son, B.S. Yang, D.H. Hwang, D.S. Kang, A Comparison of Classifier Performance for Fault Diagnosis of Induction Motor using Multi-Type Signals, Structural Health Monitoring, 6(3), 215-229, 2007
  5. G. Niu, S.S. Lee, B.S. Yang, S.J. Lee, Decision Fusion for Elevators Motor Fault Diagnosis using Stator Current Signals, Journal of Mechanical Science and Technology, 22(1), 85-95, 2008
  6. A. Widodo, B.S. Yang, Support Vector Machine for Machine Fault Diagnosis and Prognosis, Journal of System Design and Dynamics, 2(1), 12-23, 2008
  7. E.Y. Kim, A.C.C. Tan, J. Mathew, B.S. Yang, Condition Monitoring of Low Speed Bearings: A Comparative Study of the Ultrasound Technique versus Vibration Measurements, Australian Journal of Mechanical Engineering, 5(2), 177-189, 2008
  8. Y.M. Kong, S.H. Choi, B.S. Yang, B.K. Choi, Optimum Design of Ship Structure by Integrated Evolutionary Optimization Algorithm, Journal of Mechanical Science and Technology, 22(7), 1313-1322, 2008
  9. V.T. Tran, B.S. Yang, M.S. Oh, A.C.C. Tan, Machine Condition Prognosis based on Regression Trees and One-Step-Ahead Prediction, Mechanical Systems and Signal Processing, 22(5), 1179- 1193, 2008
  10. B.S. Yang, X. Di, T. Han, Random Forests Classifier for Machine Fault Diagnosis, Journal of Mechanical Science and Technology, 22(9), 1716-1725, 2008
  11. Y.H. Kim, A.C.C. Tan, B.S. Yang, Parameter Comparison of Acoustic Emission Signals for Condition Monitoring of Low-Speed Bearings, Australian Journal of Mechanical Engineering, 6(1), 45-52, 2008
  12. G. Niu, A. Widodo, J.D. Son, B.S. Yang, D.H. Hwang, D.S. Kang, Decision-level Fusion based on Wavelet Decomposition for Induction Motor Fault Diagnosis using Transient Current Signal, Expert Systems with Applications, 35(3), 918-928, 2008
  13. T.V. Tung, B.S. Yang, Machine Fault Diagnosis and Prognosis: The State of the Art, International Journal of Fluid Machinery and Systems, 2(1), 61-71, 2009
  14. T.V. Tran, B.S. Yang, M.S. Oh, A.C.C. Tan, Fault Diagnosis of Induction Motor based on Decision Trees and Adaptive Neuro-fuzzy Inference System, Expert Systems with Applications, 36(2-1), 1840-1849, 2009
  15. A. Widodo, E.Y. Kim, J.D. Son, B.S. Yang, A.C.C. Tan, D.S. Gu, B.K. Choi, J. Mathew, Fault Diagnosis of Low Speed Bearing based on Relevance Vector Machine and Support Vector Machine, Expert System with Applications, 36(3-2), 7251-7261, 2009
  16. V.T. Tran, B.S. Yang, Data-Driven Approach to Machine Condition Prognosis Using Least Square Regression Trees, Journal of Mechanical Science and Technology, 23(5), 1537-1543, 2009
  17. V.T. Tran, B.S. Yang, M.S. Oh, A.C.C. Tan, Multi-Step-Ahead Direct Prediction for the Machine Condition Prognosis using Regression Trees and Neuro-Fuzzy Systems, Expert Systems with Applications, 36(5), 9378-9387, 2009
  18. A. Widodo, B.S. Yang, Y.H. Kim, A.C.C. Tan, J. Mathew, Fault Diagnosis of Low Speed Bearing based on Acoustic Emission Signal and Multi-Class Relevance Vector Machine, Nondestructive Testing and Evaluation, 24(3), 1-16, 2009
  19. Y.M. Kong, S.H. Choi, J.D. Song, B.S. Yang, B.K. Choi, Application of Nonlinear Integer Programming for Vibration Reduction Optimum Design of Ship Structure, Journal of Mechanical Science and Technology, 23(8), 1537-1543, 2009
  20. A. Widodo, B.S. Yang, D.S. Gu, B.K. Choi, Intelligent Fault Diagnosis System of Induction Motors Based on Transient Current Signal, Mechatronics, 19(5), 680-689, 2009
  21. S.M. Lee, D.H. Lim, B.S. Yang, Vibration Analysis of a Rotor Considering Nonlinear Reaction of Hydraulic Bearing, International Journal of Fluid Machinery and Systems, 2(3), 254-259, 2009
  22. H.T. Pham, B.S. Yang, Estimation and Forecasting of Machine Health Condition using ARMA/GARCH model, Mechanical Systems and Signal Processing, 24(2), 546-558, 2010
  23. W. Caesarendra, G. Niu, B.S. Yang, Machine Condition Prognosis Based on Sequential Monte Carlo Method, Expert Systems with Applications, 37(3), 2412-2420, 2010
  24. V.T. Tran, B.S. Yang, A.C.C. Tan, Combination of Parallel-Structure CART and Long-Term Direct Prediction Methodology for Machine Condition Prognosis, Structural Health Monitoring, 9(2), 121-132, 2010
  25. V.T. Tran, B.S. Yang, Machine Fault Diagnosis and Condition Prognosis Using Classification and regression Trees and Neuro-Fuzzy Inference Systems, Journal of Control and Cybernetics, 39(1), 25-54, 2010
  26. H.T. Pham, T.V. Tung, B.S. Yang, A Hybrid of Nonlinear Autoregressive Model with Exogenous Input and Autoregressive Moving Average Model for Long-Term Machine State Forecasting, Expert Systems with Applications, 37(4), 3310-3317, 2010
  27. G. Niu, B.S. Yang, M. Pecht, Development of an Optimized Condition-Based Maintenance System by Data Fusion and Reliability-Centered Maintenance, Reliability Engineering and Systems Safety, 95(7), 786-796, 2010
  28. W. Caesarrendra, A. Widodo, B.S. Yang, Application of Relevance Vector Machine and Logistic Regression for Machine Degradation Assessment, Mechanical Systems and Signal Processing, 24(4), 1161-1171, 2010

Profile Details

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