메뉴 건너뛰기




Volumn 241, Issue 1, 2000, Pages 26-32

Model-based condition index for tracking gear wear and fatigue damage

Author keywords

Condition index; Fatigue damage; Gear wear

Indexed keywords

ERROR ANALYSIS; GEAR TEETH; LIFE CYCLE; MATHEMATICAL MODELS; STIFFNESS;

EID: 0033933104     PISSN: 00431648     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0043-1648(00)00356-2     Document Type: Article
Times cited : (50)

References (7)
  • 1
    • 0025401336 scopus 로고
    • Cepstrum analysis predicts gearbox failure
    • Aatola S., Leskinen R. Cepstrum analysis predicts gearbox failure. Noise Control Eng. J. 34(2):1990;53-59.
    • (1990) Noise Control Eng. J. , vol.34 , Issue.2 , pp. 53-59
    • Aatola, S.1    Leskinen, R.2
  • 4
    • 0025478252 scopus 로고
    • Sensor integration using neural networks for intelligent tool condition monitoring
    • Rangwala S., Dornfield D. Sensor integration using neural networks for intelligent tool condition monitoring. ASME J. Eng. Ind. 112:1990;219-228.
    • (1990) ASME J. Eng. Ind. , vol.112 , pp. 219-228
    • Rangwala, S.1    Dornfield, D.2
  • 5
    • 0343487043 scopus 로고
    • Twelve ways to load-test gears
    • Shipley G. Twelve ways to load-test gears. Prod. Eng. 1958;77-82.
    • (1958) Prod. Eng. , pp. 77-82
    • Shipley, G.1
  • 6
    • 0003414772 scopus 로고
    • Some useful data analysis techniques for gearbox diagnostics
    • Institute of Sound and Vibration Research, University of Southampton: Machine Health Monitoring Group
    • Stewart R.M. Some useful data analysis techniques for gearbox diagnostics. Report MHM/R10/77. 1977;Machine Health Monitoring Group, Institute of Sound and Vibration Research, University of Southampton.
    • (1977) Report MHM/R10/77
    • Stewart, R.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.