• DocumentCode
    3291685
  • Title

    An approach to fault diagnosis of helicopter planetary gears

  • Author

    Wu, Biqing ; Saxena, Abhinav ; Khawaja, Taimoor Saleem ; Patrick, Romano ; Vachtsevanos, George ; Sparis, Panagiotis

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2004
  • fDate
    20-23 Sept. 2004
  • Firstpage
    475
  • Lastpage
    481
  • Abstract
    Failure of flight critical components on-board a helicopter could cause an accident resulting in loss of life and/or aircraft. It is imperative, therefore, that precursors of such failure modes be monitored continuously and remedial action be taken as soon as feasible in order to avoid catastrophic events. A crack in the planetary carrier of a UH-60 Blackhawk main transmission has received recently extensive evaluation through analysis of vibration data (J. Keller et al., 2003). The rotorcraft main transmission includes a planetary gear train comprising an inner "sun" gear surrounded by five rotating "planets". Torque is transmitted through the sun gear to the planets, which ride on a planetary carrier. The planetary carrier plate, in turn, transmits torque to the main rotor shaft and blades. The U.S. Army Aviation Engineering Directorate conducted a series of experimental tests with faulted and unfaulted carrier plates on a test cell and also on-aircraft to determine if a fault (a plate crack) can be detected via vibration monitoring. This paper introduces a methodology to analyze raw vibration data provided to Georgia Tech from the carrier testing. The analysis approach consists of selection and extraction of appropriate features from vibration data indicative of the fault condition and the construction of an optimum feature vector. Test cell data sampled at 100 kHz for torque cases ranging from 20% to 100% were processed. On-aircraft data covered a limited torque range up to 30% due to safety considerations. Both raw and time synchronous data were considered and features in the time, frequency and wavelet domains were investigated. The analysis results indicate that a selected subset of features clearly distinguishes between the faulted and unfaulted cases.
  • Keywords
    aerospace accidents; aircraft testing; fault diagnosis; fault tolerant computing; helicopters; military avionics; military computing; U.S. Army Aviation Engineering Directorate; UH-60 Blackhawk main transmission; fault diagnosis; flight critical component failure; helicopter accident; helicopter planetary gear; planetary carrier plate; planetary gear train; rotorcraft main transmission; vibration monitoring; Air accidents; Aircraft; Data analysis; Fault diagnosis; Gears; Helicopters; Planets; Sun; Testing; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AUTOTESTCON 2004. Proceedings
  • ISSN
    1088-7725
  • Print_ISBN
    0-7803-8449-0
  • Type

    conf

  • DOI
    10.1109/AUTEST.2004.1436936
  • Filename
    1436936