Chinese Journal of Ship Research, Volume. 16, Issue 6, 45(2021)

Maintenance strategy of ship multi-state deterioration system under reinforcement learning mode

Jianda CHENG1, Yan LIU1, Tianyun LI1, and Yuntao CHU2
Author Affiliations
  • 1School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2China Ship Development and Design Center, Wuhan 430064, China
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    Figures & Tables(9)
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    • Table 1. The cost of different actions in different states

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      Table 1. The cost of different actions in different states

      维修成本参数系统状态
      状态$ {s}_{0} $状态$ {s}_{1} $状态$ {s}_{2} $状态$ {s}_{3} $状态$ {s}_{4} $状态$ {s}_{5} $状态$ {s}_{6} $
      运行时间$ {t}_{}^{} $/天150120110907050
      单位运行成本e/元101525303550
      维修成本$ {c}_{2} $/元2 4003 0003 4003 80048 00
      维修时间$ {r}_{2}^{} $/元1014182028
      维修成本$ {c}_{3} $/元3 6004 5005 1005 7007 200
      维修时间$ {r}_{3}^{} $/元1521273042
      维修成本$ {c}_{4} $/元6 0007 5008 0009 50012 00015 000
      维修时间$ {r}_{4}^{} $/元2535455070100
    • Table 2. The Q value table

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      Table 2. The Q value table

      Q系统状态
      状态$ {s}_{0} $状态$ {s}_{1} $状态$ {s}_{2} $状态$ {s}_{3} $状态$ {s}_{4} $状态$ {s}_{5} $状态$ {s}_{6} $
      不维修Q($ {s}_{i} $,$ {a}_{1}) $$ \times 10\;000 $−4.33−4.58−5.01−5.2−6.12−6.01
      最小维修Q ($ {s}_{i} $,$ {a}_{2}) $$ \times 10\;000 $−4.36−4.81−5.19−5.47−5.92
      中度维修Q ($ {s}_{i} $,$ {a}_{3}) $$ \times 10\mathrm{ }000 $−4.46−4.72−5.21−5.46−5.87
      最佳维修Q ($ {s}_{i} $,$ {a}_{4}) $$ \times 10\;000 $−4.75−5.01−5.17−5.39−5.84−6.45
    • Table 3. The optimal maintenance strategy with different γ values

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      Table 3. The optimal maintenance strategy with different γ values

      折扣系数γ最优维修策略最优维修行为的Q$ \times 10\;000 $
      0.15[$ {a}_{1},{a}_{1},{a}_{1},{a}_{1},{a}_{2},{a}_{3},{a}_{4} $][−0.36, −0.41, −0.55 ,-0.63, −1.10, −1.60, −2.77]
      0.25[$ {a}_{1},{a}_{1},{a}_{1},{a}_{1},{a}_{2},{a}_{3},{a}_{4} $][−0.45, −0.53, −0.71, −0.81, −1.26, −1.77, −2.83]
      0.35[$ {a}_{1},{a}_{1},{a}_{1},{a}_{1},{a}_{2},{a}_{3},{a}_{4} $][−0.60, −0.69, −0.90, −1.05, −1.48, −1.99, −2.94]
      0.45[$ {a}_{1},{a}_{1},{a}_{1},{a}_{1},{a}_{2},{a}_{3},{a}_{4} $][−0.82, −0.93, −1.18, −1.34, −1.79, −2.29, −3.12]
      0.55[$ {a}_{1},{a}_{2},{a}_{2},{a}_{1},{a}_{3},{a}_{3},{a}_{4} $][−1.16, −1.30, −1.61, −1.79, −2.22, −2.73, −3.41]
      0.65[$ {a}_{1},{a}_{2},{a}_{2},{a}_{1},{a}_{4},{a}_{4},{a}_{4} $][−1.67, −1.75, −2.12, −2.42, −2.79, −3.25, −3.87]
      0.75[$ {a}_{1},{a}_{2},{a}_{3},{a}_{0},{a}_{4},{a}_{4},{a}_{4} $][−2.47, −2.53, −2.91, −3.29, −3.67, −4.03, −4.64]
      0.85[$ {a}_{1},{a}_{2},{a}_{3},{a}_{4},{a}_{4},{a}_{4},{a}_{4} $][−4.32, −4.32, −4.72, −5.17, −5.38, −5.83, −6.44]
      0.95[$ {a}_{1},{a}_{2},{a}_{3},{a}_{4},{a}_{4},{a}_{4},{a}_{4} $][−13.41, −13.37, −13.75, −14.22, −14.42, −14.87, −15.47]
    • Table 4. The optimal maintenance strategy with different cost of inspection

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      Table 4. The optimal maintenance strategy with different cost of inspection

      检测成本/元γ最优维修策略生命周期成本/元
      00.85[$ {a}_{1},{a}_{2},{a}_{3},{a}_{4},{a}_{4},{a}_{4},{a}_{4} $]41903.31
      2000.85[$ {a}_{1},{a}_{2},{a}_{3},{a}_{4},{a}_{4},{a}_{4},{a}_{4} $]43104.57
      5000.85[$ {a}_{1},{a}_{2},{a}_{3},{a}_{4},{a}_{4},{a}_{4},{a}_{4} $]45263.58
      1 0000.85[$ {a}_{1},{a}_{2},{a}_{3},{a}_{4},{a}_{4},{a}_{4},{a}_{4} $]48553.46
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    Jianda CHENG, Yan LIU, Tianyun LI, Yuntao CHU. Maintenance strategy of ship multi-state deterioration system under reinforcement learning mode[J]. Chinese Journal of Ship Research, 2021, 16(6): 45

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    Paper Information

    Category: Ship Design and Performance

    Received: Sep. 29, 2020

    Accepted: --

    Published Online: Mar. 28, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02129

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