메뉴 건너뛰기




Volumn 121, Issue 3, 1999, Pages 355-362

Prediction of machine deterioration using vibration based fault trends and recurrent neural networks

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE DETERIORATION; PRODUCTION COST;

EID: 0032643704     PISSN: 10489002     EISSN: 15288927     Source Type: Journal    
DOI: 10.1115/1.2893988     Document Type: Article
Times cited : (187)

References (25)
  • 1
    • 0027585736 scopus 로고
    • Monitoring and Diagnosis of Rolling Element Bearings Using Artificial Neural Networks
    • Alguindigue, I. E., Loskiewicz-Buczak, A. and Uhrig, R. E., 1993, “Monitoring and Diagnosis of Rolling Element Bearings Using Artificial Neural Networks,” IEEE Transactions on Industrial Electronics, Vol. 40, No. 2, pp. 209-217.
    • (1993) IEEE Transactions on Industrial Electronics , vol.40 , Issue.2 , pp. 209-217
    • Alguindigue, I.E.1    Loskiewicz-Buczak, A.2    Uhrig, R.E.3
  • 4
    • 85025204523 scopus 로고
    • 37th Annual International S.E.G. Meeting, Oklahoma City, Oklahoma
    • Burg, J. P., 1967, “Maximum Entropy Spectral Analysis,” 37th Annual International S.E.G. Meeting, Oklahoma City, Oklahoma.
    • (1967) Maximum Entropy Spectral Analysis
    • Burg, J.P.1
  • 7
    • 84889186037 scopus 로고
    • It is Dangerous to Associate a Single Vibration Level with Machine Performance
    • Toronto
    • Downham, E., & Woods, R., 1971, “It is Dangerous to Associate a Single Vibration Level with Machine Performance,” Proceedings of the ASME Conference, Vibration 96, No. 71, Toronto.
    • (1971) Proceedings of the ASME Conference, Vibration , vol.96 , Issue.71
    • Downham, E.1    Woods, R.2
  • 8
    • 0029403611 scopus 로고
    • Real-Time Prediction of Unsteady Aerodynamics: Application for Aircraft Control and Manoeuvrability Enhancement
    • Faller, W.E., and Schreck, S.J., 1995, “Real-Time Prediction of Unsteady Aerodynamics: Application for Aircraft Control and Manoeuvrability Enhancement,” IEEE Transactions on Neural Networks, Vol. 6, pp. 1461-1468.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , pp. 1461-1468
    • Faller, W.E.1    Schreck, S.J.2
  • 9
    • 84986765190 scopus 로고
    • The Estimation and Prediction of Subset Bilinear Time Series Models with Applications
    • Gabr, M. M., and Rao, T. S., 1981, “The Estimation and Prediction of Subset Bilinear Time Series Models with Applications,” Journal of Time Series Analysis, 2 (155).
    • (1981) Journal of Time Series Analysis , vol.2 , Issue.155
    • Gabr, M.M.1    Rao, T.S.2
  • 10
    • 0026261936 scopus 로고
    • Analysis of Univariate Time Series with Connectionist Nets: A Case Study of Two Classical Examples
    • Groot, C, and Wurtz, D., 1991, “Analysis of Univariate Time Series with Connectionist Nets: A Case Study of Two Classical Examples,” Neurocomputing 3, pp. 177-192.
    • (1991) Neurocomputing , vol.3 , pp. 177-192
    • Groot, C.1    Wurtz, D.2
  • 19
    • 84889177192 scopus 로고
    • Trend Analysis of Remote Standby Generating Sets Using Neural Networks
    • Taylor M. & Lisboa P., ed. Ellis Horwood, New York
    • Strudwick, S.D., & Perryman, R., 1993, “Trend Analysis of Remote Standby Generating Sets Using Neural Networks,” Technique and Application of Neural Networks, Taylor M. & Lisboa P., ed. Ellis Horwood, New York, pp. 118-132.
    • (1993) Technique and Application of Neural Networks , pp. 118-132
    • Strudwick, S.D.1    Perryman, R.2
  • 20
    • 0000003175 scopus 로고
    • Threshold Autoregression, Limited Cycles and Cyclical Data
    • Tong, H. and Lim, S.K., 1980, “Threshold Autoregression, Limited Cycles and Cyclical Data,”. Journal of R. Stat. Soc. B42, (245).
    • (1980) Journal of R. Stat. Soc. , vol.B42 , Issue.245
    • Tong, H.1    Lim, S.K.2
  • 22
    • 0030262134 scopus 로고    scopus 로고
    • Harmony Theory Yields Robust Machine Fault Diagnostic System Based on Learning Vector Quantization Classifier
    • Tse, P., Atherton, D., and Wang, D., 1996, “Harmony Theory Yields Robust Machine Fault Diagnostic System Based on Learning Vector Quantization Classifier,” Engineering Applications of Artificial Intelligence, Elsevier Science Inc., Vol. 9, No. 5, pp. 487-498.
    • (1996) Engineering Applications of Artificial Intelligence, Elsevier Science Inc. , vol.9 , Issue.5 , pp. 487-498
    • Tse, P.1    Atherton, D.2    Wang, D.3
  • 23
    • 0029774896 scopus 로고    scopus 로고
    • A Hybrid Neural Networks based Machine Condition Forecaster and Classifier by using Multiple Variable Parameters
    • Tse P., and Wang, D., 1996 “A Hybrid Neural Networks based Machine Condition Forecaster and Classifier by using Multiple Variable Parameters,” Proceedings of the IEEE ICNN’96, Washington, DC, USA, Vol. 4/4, pp. 2096-2100.
    • (1996) Proceedings of the IEEE ICNN’96, Washington, DC, USA , vol.4 , Issue.4 , pp. 2096-2100
    • Tse, P.1    Wang, D.2
  • 24
    • 0027151354 scopus 로고
    • Results of the Time Series Prediction Competition at the Sante Fe Institute
    • San Francisco, USA
    • Weigend, W., & Gershenfeld, N., 1993, “Results of the Time Series Prediction Competition at the Sante Fe Institute,” Proceedings of the IEEElCNN-93, San Francisco, USA, pp. 1786-1793.
    • (1993) Proceedings of the Ieeelcnn-93 , pp. 1786-1793
    • Weigend, W.1    Gershenfeld, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.