메뉴 건너뛰기




Volumn 21, Issue 4, 2007, Pages 1746-1754

Intelligent condition monitoring of a gearbox using artificial neural network

Author keywords

Condition monitoring; Gearbox; Neural network; Non destructive testing; Wavelet

Indexed keywords

BEARINGS (MACHINE PARTS); CONDITION MONITORING; GEARS; INTELLIGENT AGENTS; INTERPOLATION; PACKET NETWORKS; WAVELET TRANSFORMS;

EID: 33846850208     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2006.08.005     Document Type: Article
Times cited : (314)

References (22)
  • 1
    • 33846830716 scopus 로고    scopus 로고
    • L. Bouillaut, M. Sidahmed, Helicopter gearbox vibrations: cyclo-stationary analysis or bilinear approach? ISSPA, Kuala Lumpur, Malaysia, 13-16 August, 2001.
  • 2
  • 3
    • 0027879146 scopus 로고    scopus 로고
    • P.T. Monsen, E.S. Manolakos, M. Dzwonczyk, Helicopter gearbox fault detection and diagnosis using analog neural networks, in: Signals, Systems and Computers, 27th Asilomar Conference, 1-3 November, 1993, vol. 1, pp. 381-385.
  • 4
    • 0035520683 scopus 로고    scopus 로고
    • A comparative study of acoustic and vibration signals in detection of gear failures using Winger-Ville distribution
    • Baydar N., and Ball A. A comparative study of acoustic and vibration signals in detection of gear failures using Winger-Ville distribution. Mechanical Systems and Signal Processing 15 6 (2001) 1091-1107
    • (2001) Mechanical Systems and Signal Processing , vol.15 , Issue.6 , pp. 1091-1107
    • Baydar, N.1    Ball, A.2
  • 5
    • 0041880035 scopus 로고    scopus 로고
    • Gearbox fault diagnosis using adaptive wavelet filter
    • Lin J., and Zuo M.J. Gearbox fault diagnosis using adaptive wavelet filter. Mechanical Systems and Signal Processing 17 6 (2003) 1259-1269
    • (2003) Mechanical Systems and Signal Processing , vol.17 , Issue.6 , pp. 1259-1269
    • Lin, J.1    Zuo, M.J.2
  • 6
    • 2942561579 scopus 로고    scopus 로고
    • Third-order spectral techniques for the diagnosis of motor bearing condition using artificial neural networks
    • Yang D.M., Stronach A.F., MacConnell P., and Penman J. Third-order spectral techniques for the diagnosis of motor bearing condition using artificial neural networks. Mechanical Systems and Signal Processing 16 2-3 (2002) 391-411
    • (2002) Mechanical Systems and Signal Processing , vol.16 , Issue.2-3 , pp. 391-411
    • Yang, D.M.1    Stronach, A.F.2    MacConnell, P.3    Penman, J.4
  • 7
    • 0346306460 scopus 로고    scopus 로고
    • Application of the wavelet transform in machine condition monitoring and fault diagnostics
    • Peng Z.K., and Chu F.L. Application of the wavelet transform in machine condition monitoring and fault diagnostics. Mechanical Systems and Signal Processing 18 (2004) 199-221
    • (2004) Mechanical Systems and Signal Processing , vol.18 , pp. 199-221
    • Peng, Z.K.1    Chu, F.L.2
  • 8
    • 33846790029 scopus 로고    scopus 로고
    • J.A. Momoh, L.G. Dias, Solar dynamic power system fault diagnostics, NASA Conference Publication 10189, 1996.
  • 10
    • 0012020346 scopus 로고    scopus 로고
    • Wavelet analysis and envelope detection for rolling element bearing fault diagnosis-their effectiveness and flexibilities
    • Tse P.W., Peng Y.H., and Yam R. Wavelet analysis and envelope detection for rolling element bearing fault diagnosis-their effectiveness and flexibilities. Journal of Vibration and Acoustics 123 (2001) 303-310
    • (2001) Journal of Vibration and Acoustics , vol.123 , pp. 303-310
    • Tse, P.W.1    Peng, Y.H.2    Yam, R.3
  • 11
    • 84962715980 scopus 로고    scopus 로고
    • P.T. Kazlas, P.T. Monsen, M.J. LeBlanc, Neural network-based helicopter gearbox health monitoring system, in: Neural Networks for Signal Processing, Proceedings of the IEEE-SP Workshop, 6-9 September, 1993, pp. 431-440.
  • 12
    • 0037345899 scopus 로고    scopus 로고
    • Artificial neural network based fault diagnostics of rolling element bearings using time-domain features
    • Samanta B., and Al-Balushi K.R. Artificial neural network based fault diagnostics of rolling element bearings using time-domain features. Mechanical Systems and Signal Processing 17 2 (2003) 317-328
    • (2003) Mechanical Systems and Signal Processing , vol.17 , Issue.2 , pp. 317-328
    • Samanta, B.1    Al-Balushi, K.R.2
  • 15
    • 0035494055 scopus 로고    scopus 로고
    • Intelligent on-line quality control of washing machines using discrete wavelet analysis features and likelihood classification
    • Goumas S., Zervakis M., Pouliezos A., and Stavrakakis G.S. Intelligent on-line quality control of washing machines using discrete wavelet analysis features and likelihood classification. Engineering Applications of Artificial Intelligence 14 (2001) 655-666
    • (2001) Engineering Applications of Artificial Intelligence , vol.14 , pp. 655-666
    • Goumas, S.1    Zervakis, M.2    Pouliezos, A.3    Stavrakakis, G.S.4
  • 16
    • 0042882225 scopus 로고    scopus 로고
    • Application of wavelet packet analysis for fault detection in electro-mechanical systems based on torsional vibration measurement
    • Li X., Qu L., Wen G., and Li C. Application of wavelet packet analysis for fault detection in electro-mechanical systems based on torsional vibration measurement. Mechanical Systems and Signal Processing 17 6 (2003) 1219-1235
    • (2003) Mechanical Systems and Signal Processing , vol.17 , Issue.6 , pp. 1219-1235
    • Li, X.1    Qu, L.2    Wen, G.3    Li, C.4
  • 17
    • 33846812603 scopus 로고    scopus 로고
    • A.D. Shinde, A wavelet packet based sifting process and its application for structural health monitoring. M.Sc. Thesis, Department of Mechanical Engineering, Worcester Polytechnic Institute, USA, 2004.
  • 18
    • 33846802324 scopus 로고    scopus 로고
    • W.J. Staszewski, M. Street, Vibration data compression with optimal wavelet coefficients, in: GA in Engineering Systems: Innovations and Applications, 2-4 September, Conference Publication No. 446, IEE, London, 1997.
  • 19
    • 0037421955 scopus 로고    scopus 로고
    • Indicated repeatable runout with wavelet decomposition (IRR-WD) for effective determination of bearing-induced vibration
    • Vafaei S., and Rahnejat H. Indicated repeatable runout with wavelet decomposition (IRR-WD) for effective determination of bearing-induced vibration. Journal of Sound and Vibration 260 (2003) 67-82
    • (2003) Journal of Sound and Vibration , vol.260 , pp. 67-82
    • Vafaei, S.1    Rahnejat, H.2
  • 21
    • 33846812312 scopus 로고    scopus 로고
    • W. Bartelmus, R. Zimroz, H. Batra, Gearbox vibration signal pre-processing and input values choice for neural network training, Artificial Intelligence Methods, Gliwice, Poland, 5-7 November, 2003.
  • 22
    • 84943274699 scopus 로고    scopus 로고
    • M. Riedmiller, H. Braun, A direct adaptive method for faster back-propagation learning: the RPROP algorithm, in: Proceedings of the IEEE International Conference on Neural Networks, San Francisco, 1993.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.