Adaptive vibration condition monitoring technology for local tooth damage in gearboxes

Insight: Non-Destructive Testing and Condition Monitoring

Volumn 47, Issue 8, 2005, Pages 461-464

  Gelman, L ^a   Zimroz, R ^a   Birkel, Jeffrey ^b   Leigh Firbank, Howard ^c   Simms, D ^d   Waterland, B ^d   Whitehurst, Glyn ^b  

^a CRANFIELD UNIVERSITY   (United Kingdom)

^b Turner Powertrain Systems   (United Kingdom)

^c CATERPILLAR INC   (United States)

^d Peter Brotherhood   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITION MONITORING; CORRELATION METHODS; DEMODULATION; MATHEMATICAL MODELS; SIGNAL TO NOISE RATIO; VIBRATIONS (MECHANICAL);

ADAPTIVE VIBRATION; AMPLITUDE DEMODULATION; CORRELATION ESTIMATION; GEARBOXES;

GEAR TEETH;

EID: 23644458306     PISSN: 13542575     EISSN: None     Source Type: Journal    
DOI: 10.1784/insi.2005.47.8.461     Document Type: Article

References (8)

1. M Gelman, 'Adaptive sequential analysis with variable thresholds'. Telecommunications and Radio Engineering 38(9), 75-78, 1983.
2. M Gelman, Yu V Burau and V I Krytsyn, 'Automatic adaptive method for testing data processing for nondestructive testing in civil engineering'. Proceedings of the International Symposium of Nondestructive Testing in Civil Engineering, Berlin, Germany 1311-1317, 1995.
3. M Gelman, D A Kripak, V V Fedorov and L N Udovenko, 'Condition monitoring diagnosis methods of helicopter units'. Mechanical Systems and Signal Processing, 14(4), 613-624, 2000.
4. M Gelman and N I Bouraou, 'Passive-active low-frequency vibroacoustical fault diagnosis method', 52 Meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, USA, 1998.
5. M Gelman, 'Estimate of the amplitude modulation factor of noise by a random signal', Telecommunications and Radio Engineering, Vol 47(1), pp 65-67, 1993.
6. A Kovalevsky, 'Image Pattern Recognition' Springer-Verlag. 1980.
7. Fatigue and fracture, ASM Handbook, 1996.
8. Chen, L Pau and P Wang, Handbook on Pattern Recognition and Computer Vision. World Scientific Publishing Company, Inc., 1993.