• Chinese Journal of Ship Research
  • Vol. 17, Issue 6, 96 (2022)
Jian SU1, Hanjiang SONG2, Fuyuan SONG1, and Guolei ZHANG1
Author Affiliations
  • 1College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China
  • 2The 92942 Unit of PLA, Beijing 100161, China
  • show less
    DOI: 10.19693/j.issn.1673-3185.02616 Cite this Article
    Jian SU, Hanjiang SONG, Fuyuan SONG, Guolei ZHANG. Fault diagnosis of steam power system based on convolutional neural network[J]. Chinese Journal of Ship Research, 2022, 17(6): 96 Copy Citation Text show less
    [in Chinese]
    Fig. 1. [in Chinese]
    [in Chinese]
    Fig. 2. [in Chinese]
    [in Chinese]
    Fig. 3. [in Chinese]
    [in Chinese]
    Fig. 4. [in Chinese]
    [in Chinese]
    Fig. 5. [in Chinese]
    [in Chinese]
    Fig. 6. [in Chinese]
    [in Chinese]
    Fig. 7. [in Chinese]
    [in Chinese]
    Fig. 8. [in Chinese]
    [in Chinese]
    Fig. 9. [in Chinese]
    [in Chinese]
    Fig. 10. [in Chinese]
    [in Chinese]
    Fig. 11. [in Chinese]
    [in Chinese]
    Fig. 12. [in Chinese]
    [in Chinese]
    Fig. 13. [in Chinese]
    [in Chinese]
    Fig. 14. [in Chinese]
    参数仿真值试验值误差/%
    过热蒸汽温度1.00910.93
    汽包压力0.9931−0.65
    过热蒸汽压力0.9971−0.34
    锅炉给水温度0.9621−3.80
    过热蒸汽总管温度1.00210.19
    除氧器压力0.9841−1.59
    辅过热蒸汽总管温度1.00710.74
    辅过热蒸汽总管压力1.00510.52
    微过热蒸汽温度1.00110.06
    微过热蒸汽压力0.9531−4.67
    主机阀前蒸汽压力1.00010
    螺旋桨转速0.9821−1.75
    Table 1. Comparison of steady-state dimensionless parameters under ahead condition
    Jian SU, Hanjiang SONG, Fuyuan SONG, Guolei ZHANG. Fault diagnosis of steam power system based on convolutional neural network[J]. Chinese Journal of Ship Research, 2022, 17(6): 96
    Download Citation