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    康济川

    • 副教授      硕士生导师
    • 教师拼音名称:kjc
    • 所在单位:船舶工程学院
    • 性别:男
    • 学位:博士
    • 在职信息:在职
    • 学科:船舶与海洋工程
    • 学科:船舶与海洋工程

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    论文成果

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    • [1] Opportunistic maintenance optimization for offshore wind turbine electrical and electronic system ba,Journal of Renewable and Sustainable Energy,2017,9:1-15
    • [2] Failure Statistics Analysis Based on Bayesian Theory: A Study of FPSO Internal Turret Leakage,China Ocean Engineering,2019,33(1):14-25
    • [3] Fault Tree Analysis of Floating Offshore Wind Turbine. Renewable Energy,Renewable Energy,2019,133:1455-1467
    • [4] An opportunistic maintenance policy for offshore wind farms,Ocean Engineering,2020,216:108075
    • [5] Risk identification of FPSO oil & gas processing system based on an improved FMEA approach,Applied Science,2021,
    • [6] Risk assessment of floating offshore wind turbines based on fuzzy fault tree analysis,Ocean Engineering,2021,239:109859
    • [7] Risk assessment of FPSO Topside based on Generalized Stochastic Petri Net,Ocean Engineering,2021,238:109732
    • [8] A placement optimization method of FPSO gas detectors based on leakage risk,Journal of Ocean University of China,2022,21(1):49-61
    • [9] Research on risk assessment method of steel catenary riser based on information fusion,Ocean Engineering,2022,259:111890
    • [10] Fatigue reliability of single-sided girth welds in offshore pipelines and risers accounting for non-,Marine Structures,2022,86:103268
    • [11] Fire Risk Assessment of a Ship's Power System under the Conditions of an Engine Room Fire,Journal of Marine Science and Engineering,2022,10(11):1658
    • [12] Fire Risk Assessment in Engine Room Considering the Fire-induced Domino Effects,Journal of Marine Science and Engineering,2022,10(11):1685
    • [13] Risk management framework of LNG offshore transfer and delivery system,Ocean Engineering,2021,239:109859
    • [14] Failure analysis of floating offshore wind turbines considering working condition correlations,Quality and Reliability Engineering,2023,39(2)
    • [15] Research on the failure modes of autonomous navigation equipment based on the improved expert evalua,Ocean Engineering,2024,300:117375
    • [16] Risk analysis of offshore rocket launch propellant filling system under data and knowledge scarcitie,Ocean Engineering,2024,300:117435
    • [17] CNN-LSTM-AM: A power prediction model for offshore wind turbines,Ocean Engineering,2024,301:117598
    • [18] Data-driven fault detection framework for offshore wind-hydrogen systems,International Journal of Hydrogen Energy,2024,70:325-340
    • [19] Fault diagnosis of a wave energy converter gearbox based on an Adam optimized CNN-LSTM algorithm,Renewable Energy,2024,231(12):121022
    • [20] EXPERIMENTAL STUDY ON THE CHEMICAL CLEANING TECHNOLOGY OF OIL SLUDGE IN OFFSHORE OIL TANK,FRESENIUS ENVIRONMENTAL BULLETIN,2020,1:544-550
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