Publication

Articles in preparation (working title)

  1. Kim, S., Choi, J. H., & Kim, N. H. The Effect correlation between components in system-level prognostics

  2. Kim, S., Choi, J. H., & Kim, N. H. Baseline data construction for PHM based on Global Sensitivity Analysis

  3. Cho, S. H., Kim, S., & Choi, J. H. A Comparative Study of Data-driven Prognostics Approaches under Training Data Deficiency

Under review/ revision

  1. Sim, J., Min, J., Kim, D., Cho, S., Kim, S., & Choi, J. H. A Python-based Tutorial on Prognostics and Health Management: Signal Processing and Feature Engineering

  2. Park, H. J., Kim, S., Lee, J., Kim, N. H., & Choi, J. H. Model-based Approach for Prognosis of Satellite Reaction Wheel Motor, under review

  3. Kim, S., Cho, S. H., & Choi, J. H. A Novel Health Indicator of Linear Motion Guide based on Frequency Energy Tracking Method, under review

International Journal

  1. Kim, S., Choi, J. H., & Kim, N. H. Inspection schedule for Prognostics based on Uncertainty Management, accepted

  2. Kim, S., Park, H. J., & Choi, J. H. A Robust Health Indicator under Time-Varying Operating Conditions, accepted

  3. Kim, S., Kim, N. H., & Choi, J. H. (2021) A Study towards Appropriate Architecture of System-level Prognostics: Physics-based and Data-driven approach, IEEE Access, vol. 9, pp. 157960-157972, 2021 (SCIE, Impact Factor: 3.367, Rank: 34.25%)

  4. Kim, S., Choi, J. H., & Kim, N. H. (2021) Challenges and Opportunities of System-level Prognostics, accepted, Sensors, (SCIE, Impact Factor: 3.576, Rank: 21.09%)

  5. Park, H. J., Kim, S., Ham, S., Yun, S. Y., & Choi, J. H. (2021) Machine Health Assessment based on Anomaly Indicator using Generative Adversarial Network, International Journal of Precision Engineering and Manufacturing, 1-12. (SCIE, Impact Factor: 2.106, Rank: 50%) (Co-first authors)

  6. Park, J., Kim, S., Choi, J. H., & Lee, S. H. (2021), Frequency energy shift method for bearing fault prognosis using microphone sensor, Mechanical Systems and Signal Processing, 136, 106486. (SCIE, Impact Factor: 5.005, Rank: 4.26% ), (Co-first authors)

  7. Kim, S., Park H. J., Kwon, D., & Choi, J. H. (2020). A novel prognostics approach using shifting kernel particle filter of li-ion batteries under state changes. IEEE Transactions on Industrial Electronics, 68(4), 3485-3493. (SCIE, Impact Factor: 7.503, Rank: 0.82% ) (Co-first authors)

  8. Cho, S. H., Kim, S., & Choi, J. H. (2020). Transfer Learning-based Fault Diagnosis under Data Deficiency, Applied Sciences, 10(21), 7768. (SCIE, Impact Factor: 2.474, Rank: 34.62%)

  9. Kim, S., Choi, J. H., & An, D. (2020). Diagnostics 101: A Tutorial for Rolling Element Bearing Diagnostics based on Envelope analysis using MATLAB, Applied Sciences, 10(20), 7302. (SCIE, Impact Factor: 2.474, Rank: 34.62%)

  10. Sim, J., Kim, S., Park, H. J., & Choi, J. H. (2020). A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings. Applied Sciences, 10(16), 5639. (SCIE, Impact Factor: 2.474, Rank: 34.62%)

  11. Kim, S., Kim, N. H., & Choi, J. H. (2020). Information Value-Based Fault Diagnosis of Train Door System under Multiple Operating Conditions. Sensors, 20(14), 3952. (SCIE, Impact Factor: 3.031, Rank: 23.77%)

  12. Lee, S. H., Mazumder, J., Park, J., & Kim, S. (2020). Ranked Feature-Based Laser Material Processing Monitoring and Defect Diagnosis Using k-NN and SVM. Journal of Manufacturing Processes, 55, 307-316. (SCIE, Impact Factor: 3.462, Rank: 25.51%)

  13. Lim, C., Kim, S., Seo, Y. H., & Choi, J. H. (2020). Feature extraction for bearing prognostics using weighted correlation of fault frequencies over cycles. Structural Health Monitoring, 1475921719900917. (SCIE, Impact Factor: 4.939, Rank: 3.98%), (Co-first authors)

  14. Kim, S., Kim N. H., & Choi, J. H. (2020). Prediction of Remaining Useful Life by Data Augmentation Technique based on Dynamic Time Warping. Mechanical Systems and Signal Processing, 136, 106486. (SCIE, Impact Factor: 5.005, Rank: 4.26%)

  15. Ham, S., Han, S. Y., Kim, S., Park, H. J., Park, K. J., & Choi, J. H. (2019). A Comparative Study of Fault Diagnosis for Train Door System: Traditional versus Deep Learning Approaches. Sensors, 19(23), 5160. (SCIE, Impact Factor: 3.031, Rank: 23.77%)

  16. Kim, S., & Choi, J. H. (2019). Convolutional neural network for gear fault diagnosis based on signal segmentation approach. Structural Health Monitoring, 18(5-6), 1401-1415. (SCIE, Impact Factor: 4.939, Rank: 3.98%)

  17. Park, S., Kim, S., & Choi, J. H. (2018). Gear fault diagnosis using transmission error and ensemble empirical mode decomposition. Mechanical Systems and Signal Processing, 108, 262-275. (SCIE, Impact Factor: 5.005, Rank: 4.26%), (Co-first authors)

Domestic Journal

  1. Ham, S., Han, S. Y., Kim, S., Park H. J., Park K. J., & Choi J. H. (2019). Fault diagnosis study of train door using motor current signal. Journal of Applied Reliability, 19(4), 353-361. (KCI)

  2. Yun, Y., Kim, S., Cho, S. H., & Choi, J. H. (2019). Neural Network based Aircraft Engine Health Management using C-MAPSS Data, Journal of Aerospace System Engineering, 13(6), 17-25. (KCI)

  3. Kim, S., Lim, C., Ham, S. J., Park, H., & Choi, J. H. (2018). Tutorial for Prognostics and Health Management of Gears and Bearings: Advanced Signal Processing Technique. TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERING A, 42(12), 1119-1131. (KCI, SCOPUS)

  4. Kim, S., Lim, C., & Choi, J. H. (2018). Feature Extraction for Bearing Prognostics using Weighted Correlation Coefficient. Journal of the Computational Structural Engineering Institute of Korea, 31(1), 63–69. (KCI, KSCI)

  5. Kim, S., Choi, J. H., & An, D. (2017), "Feature Extraction for Bearing Prognostics based on Frequency Energy," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 16, no. 2, pp.128-139. (KCI)

  6. Kim, D., Kim, S. G., Choi, J., Lee, J., Song, H. S., & Park, S. H. (2016). Remaining Useful Life Estimation of Li-ion Battery for Energy Storage System Using Markov Chain Monte Carlo Method. Transactions of the Korean Society of Mechanical Engineers. A, 40(10), 895-900. (KCI, SCOPUS)