Aircraft engine predictive maintenance

被引：0
|
作者：
机构：
来源：
Aerospace Engineering (Warrendale, Pennsylvania) | 1995年 / 15卷 / 08期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] An optimal structured policy for maintenance of partially observable aircraft engine components
    Hopp, WJ
    Kuo, YL
    NAVAL RESEARCH LOGISTICS, 1998, 45 (04) : 335 - 352
  • [32] ENGINE ANALYZER MAKES KEY PREDICTIVE-MAINTENANCE TOOL
    GRAHAM, WW
    OIL & GAS JOURNAL, 1980, 78 (10) : 75 - 80
  • [33] ELECTRONIC ENGINE ANALYZER, A PREDICTIVE MAINTENANCE AND PERFORMANCE EVALUATION TOOL
    SCHWARTZ, ES
    LUBRICATION ENGINEERING, 1970, 26 (12): : 449 - &
  • [34] Deep learning methodologies based on metaheuristics for predictive engine maintenance
    Kumar, D. Pradeep
    Sowmya, B. J.
    Kanavalli, Anita
    Supreeth, S.
    Shruthi, G.
    Rohith, S.
    ACTA IMEKO, 2024, 13 (02):
  • [35] FAST MODEL PREDICTIVE CONTROL FOR AIRCRAFT ENGINE BASED ON AUTOMATIC DIFFERENTIATION
    Wang, Yunlai
    Wang, Xi
    PROCEEDINGS OF THE ASME TURBO EXPO: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, VOL 5, PT I, 2020,
  • [36] Oxford BioSignals launches predictive engine monitoring system for military aircraft
    不详
    INSIGHT, 2006, 48 (03) : 134 - 134
  • [37] Handling imbalanced data for aircraft predictive maintenance using the BACHE algorithm
    Dangut, Maren David
    Skaf, Zakwan
    Jennions, Ian K.
    APPLIED SOFT COMPUTING, 2022, 123
  • [38] Data augmentation for predictive maintenance: Synthesising aircraft landing gear datasets
    Stanton, Izaak
    Munir, Kamran
    Ikram, Ahsan
    El-Bakry, Murad
    ENGINEERING REPORTS, 2024, 6 (12)
  • [39] A Method for the Predictive Maintenance Resource Scheduling of Aircraft Based on Heterogeneous Hypergraphs
    Kang, Long
    He, Muhua
    Zhou, Jiahui
    Hou, Yiran
    Xu, Bo
    Liu, Haifeng
    ELECTRONICS, 2025, 14 (04):
  • [40] Aircraft Vibration Detection and Diagnosis for Predictive Maintenance using a GLR Test
    Urbano, S.
    Chaumette, E.
    Goupil, P.
    Tourneret, J-Y.
    IFAC PAPERSONLINE, 2018, 51 (24): : 1030 - 1036
12345