Chinese Journal of Ship Research, Volume. 20, Issue 2, 99(2025)

Health status assessment for ship diesel engines based on LSTM prediction and cloud barycenter model

Nanyang ZHAO1, Chao LIU1, Wenlong DU2, and Dongxiang JIANG1
Author Affiliations
  • 1Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
  • 2China Ship Development and Design Center, Wuhan 430064, China
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    Figures & Tables(12)
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    • Table 1. Diesel engine health assessment indicator parameter set

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      Table 1. Diesel engine health assessment indicator parameter set

      编号指标参数编号指标参数
      f1效率指标参数偏差f5冷却水压力偏差
      f2总做功能力指标参数偏差f6冷却水温度偏差
      f3滑油压力偏差f7燃油压力偏差
      f4滑油温度偏差f8增压器压力偏差
    • Table 2. Average values of parameters under normal and abnormal conditions

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      Table 2. Average values of parameters under normal and abnormal conditions

      参数前期状态后期状态
      转速/(r·min−1)1 427.61 420.4
      各缸平均排温/℃519.30548.59
      轴功率/kW2930.22979.1
      效率指标96.085.9
      做功能力指标/(kW·℃−1)5.645.43
      滑油压力/MPa0.7270.671
      滑油温度/℃82.283.6
      冷却水压力/MPa0.3130.315
      冷却水温度/℃76.678.1
      燃油压力/MPa0.1610.154
      增压器压力/MPa0.0980.114
    • Table 3. Comparison of accuracy of three prediction models

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      Table 3. Comparison of accuracy of three prediction models

      编号参数LSTMMLPGCN
      eMAEeRMSEeMAEeRMSEeMAEeRMSE
      f1效率指标1.514 21.942 21.835 22.319 72.095 82.649 3
      f2做功能力指标0.049 20.064 50.096 70.119 20.092 10.109 8
      f3滑油压力/MPa0.001 60.001 90.005 30.006 70.002 90.003 8
      f4滑油温度/℃0.071 10.089 80.160 80.202 40.093 60.132 7
      f5冷却水压力/MPa0.001 90.002 40.002 20.002 80.002 00.002 4
      f6冷却水温度/℃0.054 90.070 40.065 00.085 60.058 60.075 1
      f7燃油压力/MPa0.000 70.000 90.001 00.001 30.000 80.001 1
      f8增压器压力/MPa0.002 20.002 60.002 30.002 80.002 50.003 0
    • Table 4. Limit values of deviations for indicator parameters

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      Table 4. Limit values of deviations for indicator parameters

      编号f1f2f3f4f5f6f7f8
      极限值10.000.500.105.000.055.000.050.05
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    Nanyang ZHAO, Chao LIU, Wenlong DU, Dongxiang JIANG. Health status assessment for ship diesel engines based on LSTM prediction and cloud barycenter model[J]. Chinese Journal of Ship Research, 2025, 20(2): 99

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    Paper Information

    Category: Ship Intelligent O&M, and Fault Diagnosis

    Received: Jul. 24, 2023

    Accepted: --

    Published Online: May. 15, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.04077

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