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Volumn 6, Issue 1, 2000, Pages 25-32

Diagnosis of rolling element bearing faults using radial basis function networks

Author keywords

[No Author keywords available]

Indexed keywords

FAILURE ANALYSIS; NEURAL NETWORKS; ROLLER BEARINGS;

EID: 0033899269     PISSN: 09410635     EISSN: None     Source Type: Journal    
DOI: 10.1007/s005290050031     Document Type: Article
Times cited : (37)

References (12)
  • 1
    • 0022025963 scopus 로고
    • Vibration analysis - A proven technique as a predictive maintenance tool
    • Renwick JT. Vibration analysis - a proven technique as a predictive maintenance tool. IEEE Trans Indust Applic 1985; 21:324-332
    • (1985) IEEE Trans Indust Applic , vol.21 , pp. 324-332
    • Renwick, J.T.1
  • 2
    • 0029325219 scopus 로고
    • Condition assessment and life prediction of rolling element bearings: Part 1
    • Barkov AV, Barkova NA, Mitchell JS. Condition assessment and life prediction of rolling element bearings: Part 1. Sound Vibr 1995; June: 10-17
    • (1995) Sound Vibr , vol.JUNE , pp. 10-17
    • Barkov, A.V.1    Barkova, N.A.2    Mitchell, J.S.3
  • 3
    • 38249010331 scopus 로고
    • Intelligent monitoring of ball bearing conditions
    • Liu TI, Mengel JM. Intelligent monitoring of ball bearing conditions. Mech Syst Sig Process 1992; 6(5):419-431
    • (1992) Mech Syst Sig Process , vol.6 , Issue.5 , pp. 419-431
    • Liu, T.I.1    Mengel, J.M.2
  • 4
    • 0028714633 scopus 로고
    • Use of neural networks for on-line vibration monitoring
    • Mayes JW. Use of neural networks for on-line vibration monitoring. Proc IMechE Pt A 1994; 208: 267-274
    • (1994) Proc IMechE Pt A , vol.208 , pp. 267-274
    • Mayes, J.W.1
  • 5
    • 0031373959 scopus 로고    scopus 로고
    • Classification of rotating machine condition using artificial neural networks
    • McCormick AC, Nandi AK. Classification of rotating machine condition using artificial neural networks. Proc IMechE Pt C 1997; 11(6):439-450
    • (1997) Proc IMechE Pt C , vol.11 , Issue.6 , pp. 439-450
    • McCormick, A.C.1    Nandi, A.K.2
  • 6
    • 0031142164 scopus 로고    scopus 로고
    • Real time classification of rotating shaft loading conditions using artificial neural networks
    • McCormick AC, Nandi AK. Real time classification of rotating shaft loading conditions using artificial neural networks. IEEE Trans Neur Net 1997; 8(3): 748-757
    • (1997) IEEE Trans Neur Net , vol.8 , Issue.3 , pp. 748-757
    • McCormick, A.C.1    Nandi, A.K.2
  • 8
    • 6744273605 scopus 로고
    • Application of signal processing techniques to machinery health monitoring
    • White RG, Walker RM (eds). John Wiley and Sons, New York
    • Stewart RM. Application of signal processing techniques to machinery health monitoring. In: White RG, Walker RM (eds). Noise and vibration. John Wiley and Sons, New York, 1986
    • (1986) Noise and Vibration
    • Stewart, R.M.1
  • 9
    • 0000879306 scopus 로고
    • Fault detection and diagnosis in low speed rolling element bearings part I: The use of parametric spectra
    • Mechefske CK, Mathew J. Fault detection and diagnosis in low speed rolling element bearings part I: the use of parametric spectra. Mech Syst Sig Process 1992; 6(4):297-307
    • (1992) Mech Syst Sig Process , vol.6 , Issue.4 , pp. 297-307
    • Mechefske, C.K.1    Mathew, J.2
  • 12
    • 0021377369 scopus 로고
    • Vibration monitoring of rolling element bearings by the high frequency resonance technique - A review
    • McFadden PD, Smith J. Vibration monitoring of rolling element bearings by the high frequency resonance technique - a review. Tribol Int 1984; 17(1): 3-10
    • (1984) Tribol Int , vol.17 , Issue.1 , pp. 3-10
    • McFadden, P.D.1    Smith, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.