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Park, K.P., Lee, J.B., Lee, H.J., Jo, Y.K. and Kim, C.H., "Functional Analysis of CBMS for Naval Ship," Naval Ship Technology & Weapon Systems Seminars, Busan, South Korea, pp. 249-252, Oct. 2015.
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Lee, Y.H. and Kim, S.K., "A Study on The Guideline for Improvement of ICAS(Integrated Condition Assessment System) for Naval Vessels," Naval Ship Technology & Weapon Systems Seminars, Vol. 1, Busan, South Korea, pp. 490-494, Oct. 2017.
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Lee, B.Y., Ha, S.J. and Lim, O.T., “Methodology of Engine Fitness Diagnosis Using Variation of Crankhaft Angular Speed,” Transaction of the Korea Society of Mechanical Engineers, Vol. 35, No. 11, pp. 1529-1535, 2011.
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Hong, T.Y. and Park, S.H., “A Case Study of the Breakdown Evaluation to the Rotary Machine,” The Korea Institute of Electronic Communication Sciences, Vol. 10, No. 2, pp. 189-194, 2015.
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Jung, K.S., “Improvement of Combustion Efficiency for Marine Auxiliary Diesel Engine,” Journal of the Korea Society of Marine Engineering, Vol. 38, No. 3, pp. 233-239, 2014.
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Kong, C.D., Iim, S.M. and Kim, K.W., “Study on Fault Diagnostics of a Turboprop Engine Using Fuzzy Logic and BBNN,” Journal of the Korean Society of Propulsion Engineers, Vol. 15, No. 2, pp. 1-7, 2011.
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Barro, R.D., Dao, V.Q. and Lee, D.C., “Condition diagnostic and performance estimation on a 580GT class passenger an d car-ferry ship propulsion system,” Journal of the Korean Society of Marine Engineering, Vol. 41, No. 8, pp. 732-737, 2017.
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Campora, U., Capelli, M., Cravero, C. and Zaccone, R., "Metamodels of a Gas turbine Powered Marine Propulsion System for Simulation and Diagnostic Purposes," Journal of Naval Architecture and Marine Engineering, Vol. 12, No. 1 pp. 1-14, 2015.
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Lee, J.H., Hwang, S.Y., Hong, K.T., Park, Y.K. and Bae, J.H., "A Case Study of the Anomaly Detection and Failure type Analysis of Rotating Equipment Using Machine Learning and Pattern Classification Technique," Naval Ship Technology & Weapon Systems Seminars, Busa, South Korea, pp. 602-608, Oct. 2017.
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10 |
Jeon, H.C., Kim, T.W. and Yoo, Y.C., "A Study on The Anomaly Detection Techniques for Naval Vessel Equipments Based on the Big Data Prediction Methods," Naval Ship Technology & Weapon Systems Seminars, Busan, South Korea, pp. 253-258, Oct. 2015.
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