Naval gas turbine diagnostics

被引:0
|
作者
Charchalis, A
Korczewski, Z
机构
来源
关键词
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The operation of naval gas turbines requires a professional technical supervision which cannot be provided by crews of small vessels. Therefore, it was decided to support the crews of such vessels by the ''Base Diagnostic System of Vessel's Turbine Engines'' (BDS) created at the Naval Academy in Gdynia. The paper presents general possibilities of identification of the operating states of naval gas turbines by the BDS application. The system configuration, testing means and methods are demonstrated within the paper as well. The system was implemented on the Polish Navy Vessels with turbine engines. Measuring positions, the data base constantly being updated and diagnostic software allow carrying out the operation of turbine engines according to their actual conditions.
引用
收藏
页码:227 / 236
页数:10
相关论文
共 50 条
  • [31] Gas turbine diagnostics under variable operating conditions
    Loboda, Igor
    Feldshteyn, Yakov
    Yepifanov, Sergiy
    [J]. INTERNATIONAL JOURNAL OF TURBO & JET-ENGINES, 2007, 24 (3-4) : 231 - 244
  • [32] Advanced test cell diagnostics for gas turbine engines
    Roemer, MJ
    Kacprzynski, GJ
    Schoeller, M
    Howe, R
    Friend, R
    [J]. 2001 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-7, 2001, : 2915 - 2925
  • [33] Gas Turbine Fault Diagnostics using Fuzzy Systems
    Rahimi, Farbod
    Lemma, Tamiru Alemu
    [J]. 2017 7TH IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE), 2017, : 314 - 319
  • [34] Integrated life measurement and diagnostics for gas turbine engines
    Roemer, MJ
    [J]. CRITICAL LINK: DIAGNOSIS TO PROGNOSIS, 1997, : 489 - 499
  • [35] Gas turbine diagnostics under variable operating conditions
    Loboda, Igor
    Feldshteyn, Yakov
    Yepifanov, Sergly
    [J]. PROCEEDINGS OF THE ASME TURBO EXPO 2007, VOL 1, 2007, : 829 - 837
  • [36] Optical diagnostics applied to a gas turbine pilot burner
    Seyfried, H.
    Brackmann, C.
    Lindholm, A.
    Linne, M.
    Barreras, F.
    v. d. Bank, R.
    [J]. AIAA JOURNAL, 2007, 45 (11) : 2702 - 2709
  • [37] Optical control and diagnostics sensors for gas turbine machinery
    Trolinger, James D.
    Jenkins, Thomas P.
    Heeg, Bauke
    [J]. PHOTONIC INNOVATIONS AND SOLUTIONS FOR COMPLEX ENVIRONMENTS AND SYSTEMS (PISCES), 2012, 8482
  • [38] ADVANCED GAS TURBINE DIAGNOSTICS USING PATTERN RECOGNITION
    Kumano, Shintaro
    Mikami, Naotaka
    Aoyama, Kuniaki
    [J]. PROCEEDINGS OF THE ASME TURBO EXPO 2011, VOL 3, 2012, : 179 - 187
  • [39] THERMODYNAMIC MODELS FOR PIPELINE GAS-TURBINE DIAGNOSTICS
    SARAVANAMUTTOO, HIH
    MACLSAAC, BD
    [J]. JOURNAL OF ENGINEERING FOR POWER-TRANSACTIONS OF THE ASME, 1983, 105 (04): : 875 - 884
  • [40] A Review of Information Fusion Methods for Gas Turbine Diagnostics
    Zaccaria, Valentina
    Rahman, Moksadur
    Aslanidou, Ioanna
    Kyprianidis, Konstantinos
    [J]. SUSTAINABILITY, 2019, 11 (22)