Turbine engine rotor blade fault diagnostics through casing pressure and vibration sensors

被引：1
|
作者：
Cox, J. [1 ]
Anusonti-Inthra, P. [1 ]
机构：
[1] Univ Tennessee, Inst Space, Tullahoma, TN 37388 USA
来源：
XXII INTERNATIONAL CONFERENCE ON SPECTRAL LINE SHAPES (ICSLS 2014) | 2014年 / 548卷
关键词：
D O I：
10.1088/1742-6596/548/1/012066
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
In this study, an exact solution is provided for a previously indeterminate equation used for rotor blade fault diagnostics. The method estimates rotor blade natural frequency through turbine engine casing pressure and vibration sensors. The equation requires accurate measurements of low-amplitude sideband signals in the frequency domain. With this in mind, statistical evaluation was also completed with the goal of determining the effect of sampling time and frequency on sideband resolution in the frequency domain.
引用
收藏
页数：3
相关论文
共 50 条
  • [41] REDUCED MODELLING FOR TURBINE ROTOR-BLADE COUPLED BENDING VIBRATION ANALYSIS
    Okabe, Akira
    Kudo, Takeshi
    Shiohata, Koki
    Matsushita, Osami
    Fujiwara, Hiroyuki
    Yoda, Hideo
    Sakurai, Shigeo
    PROCEEDINGS OF THE ASME TURBO EXPO 2011, VOL 6, PTS A AND B, 2012, : 355 - 364
  • [42] Vibration based damage detection of rotor blades in a gas turbine engine
    Madhavan, S.
    Jain, Rajeev
    Sujatha, C.
    Sekhar, A. S.
    ENGINEERING FAILURE ANALYSIS, 2014, 46 : 26 - 39
  • [43] Reduced modelling for turbine rotor-blade coupled bending vibration analysis
    Okabe, Akira
    Kudo, Takeshi
    Shiohata, Koki
    Matsushita, Osami
    Fujiwara, Hiroyuki
    Yoda, Hideo
    Sakurai, Shigeo
    Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, 2011, 77 (775): : 742 - 754
  • [44] BLADE VIBRATION MONITORING IN A LOW-PRESSURE STEAM TURBINE
    Przysowa, Radoslaw
    PROCEEDINGS OF THE ASME TURBO EXPO: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, 2018, VOL 6, 2018,
  • [45] Investigation of airflow allocation inside high pressure turbine rotor blade
    Zhu, Xingdan
    Tan, Xiaoming
    Guo, Wen
    Zhang, Jingzhou
    Wang, Yongming
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2014, 35 (12): : 3273 - 3282
  • [46] Diagnostics of gas turbine engine blades using the forced vibration method
    Kochergin A.V.
    Ivshin I.V.
    Sabirov A.R.
    Gavrilov V.A.
    Russian Aeronautics (Iz VUZ), 2007, 50 (3) : 330 - 332
  • [47] NOVEL JOINT TIME FREQUENCY VIBRATION DIAGNOSTICS OF TURBINE ENGINE ACCESSORIES
    Watson, Matthew J.
    Sheldon, Jeremy S.
    Lee, Hyungdae
    Byington, Carl S.
    Behbahani, Alireza
    PROCEEDINGS OF THE ASME TURBO EXPO 2010, VOL 3, 2010, : 353 - 363
  • [48] Vibration Modelling and Verification for Rotor-Support-Casing Coupling System with Misalignment Fault
    Wang, Nanfei
    Jiang, Dongxiang
    Yang, Yizhou
    Behdinan, Kamran
    INTERNATIONAL JOURNAL OF ACOUSTICS AND VIBRATION, 2019, 24 (03): : 511 - 519
  • [49] Smart engine - A gas turbine fault diagnostics and life management tool
    Sampath, Suresh
    Marinai, Luca
    Singh, Riti
    Gulati, Ankush
    Proceedings of the ASME Turbo Expo 2006, Vol 5, Pts A and B, 2006, : 639 - 648
  • [50] Ground Vibration Testing of a Helicopter Rotor Blade Using Optical Fibre Sensors
    Kissinger, Thomas
    Weber, Simone
    Chehura, Edmond
    Barrington, James
    Staines, Stephen
    James, Stephen W.
    Lone, Mudassir
    Tatam, Ralph P.
    SEVENTH EUROPEAN WORKSHOP ON OPTICAL FIBRE SENSORS (EWOFS 2019), 2019, 11199
12345