PUBLICATION

Publication

(Link to Google scholar page)

▪ PEER-REVIEWED JOURNAL PAPERS (10)

1. Park, J., Kim, Y., Na, K., & Youn, B. D., Variance of energy residual (VER): An efficient method for planetary gear fault detection under variable-speed conditions, Submitted

2. Park, J., Hamadache, M., Ha, J. M., Kim, Y., Na, K., & Youn, B. D. (2019). A positive energy residual (PER) based planetary gear fault detection method under variable speed conditions. Mechanical Systems and Signal Processing, 117, 347-360. (IF: 4.370, Rank: 5.078%)

3. Park, J., Jeon, B., Park, J., Cui, J., Kim, M., & Youn, B. D. (2018). Failure prediction of a motor-driven gearbox in a pulverizer under external noise and disturbance. Smart Structures and Systems, 22(2), 185-192. (IF: 2.231, Rank: 24.609%)

4. Ha, J. M., Park, J., Na, K., Kim, Y., & Youn, B. D. (2018). Toothwise Fault Identification for a Planetary Gearbox Based on a Health Data Map. IEEE Transactions on Industrial Electronics, 65(7), 5903-5912. (IF: 7.050, Rank: 0.820%)

5. Ha, J. M., Oh, H., Park, J., & Youn, B. D. (2017). Classification of operating conditions of wind turbines for a class-wise condition monitoring strategy. Renewable Energy, 103, 594-605. (IF: 4.900, Rank: 19.697%)

6. Park, J., Ha, J. M., Oh, H., Youn, B. D., Choi, J. H., & Kim, N. H. (2016). Model-based fault diagnosis of a planetary gear: A novel approach using transmission error. IEEE Transactions on Reliability, 65(4), 1830-1841. (IF: 2.729, Rank: 12.981%)

7. Kim, H., Ha, J. M., Park, J., Kim, S., Kim, K., Jang, B. C., … & Youn, B. D. (2016). Fault Log Recovery Using an Incomplete-data-trained FDA Classifier for Failure Diagnosis of Engineered Systems. International Journal of Prognostics and Health Management, 7(1), 004.

8. Ha, J. M., Youn, B. D., Oh, H., Han, B., Jung, Y., & Park, J. (2016). Autocorrelation-based time synchronous averaging for condition monitoring of planetary gearboxes in wind turbines. Mechanical Systems and Signal Processing, 70, 161-175. (IF: 4.370, Rank: 5.078%)

9. Jung, B. C., Park, J., Oh, H., Kim, J., & Youn, B. D. (2015). A framework of model validation and virtual product qualification with limited experimental data based on statistical inference. Structural and Multidisciplinary Optimization, 51(3), 573-583. (IF: 2.876, Rank: 13.06%)

10. Kim, H., Hwang, T., Park, J., Oh, H., & Youn, B. D. (2014). Risk prediction of engineering assets: An ensemble of part lifespan calculation and usage classification methods. International Journal of Prognostics and Health Management, 5(2).

 

▪ PATENTS (8)

1. Youn, B.D., Park, J., Ha, J.M., “Method for Diagnosing and Classifying Gear Fault”, Patent No. 1020170002036, Republic of Korea, January, 2017 (Patent Registration)

2. Park, J.G., Youn, B.D., Park, J., Ha, J.M., “Fault Diagnosis System of Industrial Robot”, 10-2016-0123309, Republic of Korea, September, 2016 (Patent Application)

3. Kim, K.I., Kim, K., Lim, D.P., Youn, B.D., Ha, J.M., Park, J., “Method and System for Detecting Fault of Swing Device”, 10-2017-0042907, Republic of Korea, April, 2017 (Patent Application)

4. Youn, B.D., Park, J., Ha, J.M., Kim, Y., Na, K. “Vibration characteristics data map processing apparatus for diagnosing a fault of planetary gear box”, 10-2018-0060479, Republic of Korea, May, 2018 (Patent Application)

5. Rossi, A.R., Raghavan, A., Park, J., et al., “System and method for one-class similarity machines for anomaly detection”, 16/032,944, United States of America, July, 2018 (Patent Application)

6. Youn, B.D., Park, J., Kim, Y., Na, K. “Fault detection apparatus and method for gears under variable-speed condition using Short-Time Fourier Transform”, 10-2018-0114952, Republic of Korea, Sep., 2018 (Patent Application)

7.  Raghavan, A., Rossi, A.R., Park, J., et al., “System and method for binned interquartile range analysis in anomaly detection of a data series”, 16/143,223, United States of America, Sep., 2018 (Patent Application)

8. Park, J., Raghavan, A., Rossi, A.R., et al., “System and method for anomaly characterization based on joint historical and time-series analysis ”, 16/170,815, United States of America, Oct., 2018 (Patent Application)