참고문헌 (12)

1. Bae, J.H, 2021. Fault detection of aircraft turbofan engine system？using a fault detection filter. Institute of Korean Electrical and？Electronics Engineers, 25(2), pp.330-336. 

2. Benkamin, L., Timo, M., Hannes, V., Nasser, J. and Michael,？W., 2021. A survey on long short-term memory networks？for time series prediction, 14th CIRP 99, pp.650-655. 

3. Byun, S.I. and Lee, D.I., 2022. Health monitoring for autonomous underwater vehicles using fault tree analysis. Journal？of Institute of Control, Robotics and Systems, 28(5), pp.？398-405. 

   상세보기

4. Chae, S.G., Kim, G.R., Bae, B.Y. and Bae, S.J., 2021.？Failure diagnosis and prediction for a thermal power plant？generator using fastICA. Journal of Applied Reliability,？21(4), pp.341-351. 

   상세보기

5. Cho, H.J., Choi, H.S., Kim, H.J., Nam, K.S., Ryu, J.D. and？Ha, K. N., 2022. Feature selection for unmanned surface？vehicle fault diagnosis research and experimental verification. Journal of Institute of Control, Robotics and Systems,？28(6), pp.542-550. 

   상세보기

6. Hwang, S.Y., Heo, J.Y., Hong, K.T. and Lee, J.H., 2018. Time？series data analysis and fault diagnosis of plant process？equipment using statistical machine learning method. Korean？Journal of Computational Design and Engineering, 23(3), pp.？193-201. 

   상세보기

7. Kim, S.H, 2022. A study of machine learning technique for？noise-based engine fault diagnosis. Journal of the KNST, 5(1),？pp.16-19. 

   상세보기

8. Kim, J.Y., Lee, T.H., Lee, S.H., Lee, J.J., Shin, D.M., Lee, W.K.？and Kim, Y.J., 2022. A study on the development of a failure？simulation database for condition based maintenance of marine？engine system auxiliary equipment. Journal of the Society of？Naval Architects of Korea, 59(4), pp.200-206. 

9. Kim, S.I., Noh, Y.J., Kang, Y.J., Park, S.H. and Ahn, B.H., 2021.？Fault classification model based on time domain feature？extraction vibration data. Journal of the Computational Structural？Engineering Institute of Korea, 34(I), pp.25-33. 

10. Lee, J.H., 2021. Experimental study on application of an anomaly？detection algorithm electric current datasets generated from？marine air compressor with time-series features. Journal of？the Korean Society of Marine Environment & Safety, 27(1),？pp.127-134. 

11. Ugo, C., Carlo, C. and Raphael, Z., 2018. Marine gas turbine？monitoring and diagnostics by simulation and pattern？recognition. International Journal of Naval Architecture and？Ocean Engineering, 10, pp.617-628. 

12. Zhengping, C., Sanjay, P., Cho, K.H., David, S. and Yan, L., 2018. Recurrent neural networks for multivariate time series？with missing values, Scientific Reports, 8:6085. 

    상세보기

저자의 다른 논문 :

장화섭 (14)