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Diagnosis of Tooth Surface Failure by Vibration Analysis

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents laboratory investigations of some tooth surface failure in helical gears. Signal analysis is one of the most important methods used for condition monitoring and fault diagnostics, whose aim is to find a simple and effective transform to the original signals. During the laboratory investigations of helical gears, some signal changes of lateral vibration velocity of the shafts during the process of pitting growth in the operating surfaces of gear teeth have been observed. The carried out investigations reveal that the square root of the sum of the square coefficient Cʃ(j,k,ψ) of the continuous wavelet transform (CWT) distribution and the sum of discrete values of the pseudo Wigner-Ville Distribution (WVD) amplitudes in the frequency range from 0 to 0.9 ʃmesh grow together with the process of pitting development. New indices of pitting wear have been suggested and compared with other non-dimensional vibration diagnostic parameters.
Rocznik
Strony
35--44
Opis fizyczny
bibliogr. 10 poz.
Twórcy
autor
  • Department of Automotive Vehicle Construction, Silesian University of Technology, Katowice
Bibliografia
  • 1. Dąbrowski, Z., Radkowski, S., Wilk, A. (eds), 2000, Gearbox Dynamics. Investigation and Simulation for Operation Orientated Design (original title in Polish: Dynamika przekładni zębatych. Badania i symulacja w projektowaniu eksploatacyjnie zorientowanym), Warsaw-Katowice-Radom.
  • 2. James, Li. C., Limmer, J.D., 2000, Model - Based Condition Index for Tracking Gear Wear and Fatigue Damage, Wear, 241, 26-32.
  • 3. Madej, H., 2002, The Application of Residual Signal to Gearbox Fault Detection (original title in Polish: Wykorzystanie sygnału resztkowego drgań w diagnostyce przekładni zębatych), Diagnostyka, 26, 45-52.
  • 4. Mosher, M., Pryor, A. H., Huff, E.M., 2002, Evaluation of Standard Gear Metrics in Helicopter Flight Operation, 56th Mechanical Failure Prevention Technology Conference, Virginia Beach, USA.
  • 5. Radkowski, S., 2002, Vibroacoustic Diagnostics of Low Energy Faults (original title in Polish: Wibroakustyczna diagnostyka uszkodzeń niskoenergetycznych), Warszawa-Radom.
  • 6. Radkowski, S., 1995, Low Energy Components of Vibroacoustic Signal as the Basis for Diagnosis of Defect Formation, Machine Dynamics Problems, Vol 12.
  • 7. Stewart, R.M., 1977, Same Useful Data Analysis Techniques for Gearbox Diagnostics. Report MHM/R/10/77, Machine Health Monitoring Group, Institute of Sound and Vibration Research, University of Southampton.
  • 8. Wang, W.J., McFadden, P.D., 1993, Early Detection of Gear Failure by Vibration Analysis-II. Interpretation of the Time-Frequency Distribution Using Image Processing Techniques, Mechanical Systems and Signal Processing, Vol 7.
  • 9. Wilk, A., Łazarz, B., Madej, H., 1999, Wavelet Analysis in Diagnosis of Selected Damages in Toothed Wheels, Machine Dynamic Problems, 23, No 2, 45-53.
  • 10. Wilk, A., Łazarz, B., Madej, H., 1999, The Application of Wavelet Analysis in the Diagnosis of Toothed Wheel's Damages, Proceed. lnternoise'99, USA, 933-938.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0005-0049
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