Gear fault diagnosis and industrial applications

• Autorzy: Combet F.
• Języki publikacji: EN

Abstrakty

EN

This paper introduces the concept of a gear profile, which is the polar representation of the time synchronous averaged vibration signal computed on the rotation period of a pinion. A gear profile provides an attractive visual representation of the meshing efforts on the individual teeth for each of the gears present in a gearbox. It is mostly useful for the detection of local tooth faults (cracks, pitting) or shaft eccentricity faults. Its computation however presents some pitfalls as some parameters need to be selected with care: choice of the mesh harmonic to demodulate, filter bandwidth, signal duration for the time averaging. We propose some practical rules on how to select them. The amplitude and frequency modulation functions of the profile can then be computed, and the amount of the modulation may be quantified by some parameters. We also present a case where the electrical currant measurement can be very helpful for gear fault diagnosis. The technique is illustrated on a few industrial cases.

Słowa kluczowe

EN

gear profile; time synchronous averaging; local tooth faults

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2012
• Tom: nr 1(61)
• Strony: 9--12
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Combet F.

• DYNAE, rue Condorcet, 38090 Villefontaine, France

Bibliografia

• [1] S. Braun, The extraction of periodic waveforms by time domain averaging, Acoustica 32 (1975) 69-77.
• [2] F. Bonnardot, M. El Badaoui, R. B. Randall, J. Danière, F. Guillet, Use of the acceleration signal of a gearbox in order to perform angular resampling (with limited speed fluctuation), Mechanical Systems and Signal Processing 19 (2005) 766-785.
• [3] F. Combet, L. Gelman, An automated methodology for performing time synchronous Averaging of a gearbox signal without speed sensor, Mechanical Systems and Signal Processing 21 (2007) 2590-2606.
• [4] R. M. Stewart, Some useful data analysis techniques for gearbox diagnostics, University of Southampton Report MHM/R/10/77, July 1977.
• [5] J. Antoni, F. Bonnardot, A. Raad, M. El Badaoui, Cyclostationary modelling of rotating machine vibration signals, Mechanical Systems and Signal Processing 18 (2004) 1285-1314.
• [6] A. Raad, J. Antoni and M. Sidahmed, Indicators of Cyclostationarity: Theory and Application to Gear Fault Monitoring, Mechanical Systems and Signal Processing, 22(3), pp.574-587, 2008.
• [7] C. Pachaud, L’analyse de l’intensité du courant statorique : outil de surveillance et de diagnostic, Journal sur l’enseignement des sciences et technologies de l’information et des systèmes, Vol. 4, 12 (2005).