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Volumn 16, Issue 5, 2002, Pages 841-852

Estimating size of gear tooth root crack using embedded modelling

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CRACKS; EMBEDDED SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; STIFFNESS;

EID: 0036752916     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1006/mssp.2001.1452     Document Type: Article
Times cited : (28)

References (11)
  • 1
    • 0019933926 scopus 로고
    • A new method of modeling gear faults
    • R.B. Randall 1982 Journal of Mechanical Design 104, 259-267. A new method of modeling gear faults.
    • (1982) Journal of Mechanical Design , vol.104 , pp. 259-267
    • Randall, R.B.1
  • 2
    • 0022695238 scopus 로고
    • Detecting fatigue cracks in gears by amplitude and phase demodulation of the meshing vibration
    • P.D. McFadden 1986 Journal of Vibrations, Acoustics, Stress, and Reliability in Design 108, 165-170. Detecting fatigue cracks in gears by amplitude and phase demodulation of the meshing vibration.
    • (1986) Journal of Vibrations, Acoustics, Stress, and Reliability in Design , vol.108 , pp. 165-170
    • McFadden, P.D.1
  • 4
    • 0011079453 scopus 로고    scopus 로고
    • A method to identify model parameters and gear errors by vibrations of a spur gear pair
    • M. Amabili and A. Fregolent 1998 Journal of Sound and Vibration 214, 339-357. A method to identify model parameters and gear errors by vibrations of a spur gear pair.
    • (1998) Journal of Sound and Vibration , vol.214 , pp. 339-357
    • Amabili, M.1    Fregolent, A.2
  • 5
    • 0034188296 scopus 로고    scopus 로고
    • Effectiveness and sensitivity of vibration processing techniques for local fault detection in gears
    • O. Dalpiaz, A. Rivola and R. Rubine 2000 Mechanical Systems and Signal Processing 14, 387-412. Effectiveness and sensitivity of vibration processing techniques for local fault detection in gears.
    • (2000) Mechanical Systems and Signal Processing , vol.14 , pp. 387-412
    • Dalpiaz, O.1    Rivola, A.2    Rubine, R.3
  • 7
    • 85007171831 scopus 로고    scopus 로고
    • Symposium on sensor-based control for manufacturing, ASME international mechanical engineering congress and exposition
    • Anaheim CA, Nov. 15-20. In J. Lee (ed.). New York: ASME. Nonlinear system identification using lumped parameter models with embedded feedforward neural networks
    • Y. Fan and C. James Li 1998 Symposium on Sensor-Based Control for Manufacturing, ASME International Mechanical Engineering Congress and Exposition, Anaheim, CA, Nov. 15-20. In J. Lee (ed.). Manufacturing Science and Engineering, MED Vol. 8, pp. 579-587. New York: ASME. Nonlinear system identification using lumped parameter models with embedded feedforward neural networks.
    • (1998) Manufacturing Science and Engineering, MED , vol.8 , pp. 579-587
    • Fan, Y.1    James Li, C.2
  • 9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.