메뉴 건너뛰기




Volumn 1, Issue , 2007, Pages 1-19

Gearbox corrosion prediction via oil condition sensing and model fusion

Author keywords

Condition monitoring; Corrosion; Corrosive wear mechanisms; Equipment monitoring; Life prediction methods; Lubricant analytical techniques; Lubricant contamination; Lubricant contamination (corrosives, fuel dilution, incompatible fluids, particulates, water); Lubricant degradation stability; Mechanical degradation; Wear and failure; Wear particles

Indexed keywords


EID: 37549000204     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (16)
  • 3
    • 37549016994 scopus 로고    scopus 로고
    • Noria Corporation. Available online at
    • Barnes, Mark, "Water - The Forgotten Contaminant," Noria Corporation. Available online at http://www.maintenanceworld.com/Articles/barnesm/waterthe.html.
    • Water - The Forgotten Contaminant
    • Barnes, M.1
  • 4
    • 37549027870 scopus 로고    scopus 로고
    • Silent Assumptions of Bearing Reliability
    • July, Available online at
    • Fitch, J., (2003) "Silent Assumptions of Bearing Reliability," Practicing Oil Analysis Magazine, July 2003. Available online at http://www.practicingoilanalysis.com/article_detail.asp?articleid=495&relatedbookgroup=Lubrication.
    • (2003) Practicing Oil Analysis Magazine
    • Fitch, J.1
  • 5
    • 37549023263 scopus 로고    scopus 로고
    • Evaluating Properties of Oil Using Dielectric Spectroscopy,
    • U.S. Patent No. 6,449,580. Presented at the Joint Oil Analysis Program (JOAP) International Condition Monitoring Conference, Mobile, AL
    • Garvey, et al (1998), "Evaluating Properties of Oil Using Dielectric Spectroscopy," U.S. Patent No. 6,449,580. Presented at the Joint Oil Analysis Program (JOAP) International Condition Monitoring Conference, Mobile, AL.
    • (1998)
    • Garvey1
  • 6
    • 0032007107 scopus 로고    scopus 로고
    • A Probability Model for the Growth of Corrosion Pits in Aluminum Alloys Induced by Constituent Particles
    • Harlow, D.G. and Wei, R.P. (1998), "A Probability Model for the Growth of Corrosion Pits in Aluminum Alloys Induced by Constituent Particles," Engineering Fracture Mechanics, 59, 3, pp 305-325.
    • (1998) Engineering Fracture Mechanics , vol.59 , Issue.3 , pp. 305-325
    • Harlow, D.G.1    Wei, R.P.2
  • 8
    • 37549035263 scopus 로고    scopus 로고
    • Rating the Pitting Resistance and Bending Strength of Generated Straight Bevel, Zerol Bevel, and Spiral Bevel Gear Teeth, AISI/AGMA Standard No. 2003-B97.
    • "Rating the Pitting Resistance and Bending Strength of Generated Straight Bevel, Zerol Bevel, and Spiral Bevel Gear Teeth," AISI/AGMA Standard No. 2003-B97.
  • 9
    • 34548798776 scopus 로고    scopus 로고
    • A Comprehensive High Frequency Vibration Monitoring System for Incipient Fault Detection and Isolation of Gears, Bearings and Shafts/Couplings in Turbine Engines and Accessories
    • GT2007-27660, ASME, New York, NY
    • Watson, M.J., Sheldon, J.S., Amin, S.R., Lee, H., Byington, C.S., and Begin, M. (2007), "A Comprehensive High Frequency Vibration Monitoring System for Incipient Fault Detection and Isolation of Gears, Bearings and Shafts/Couplings in Turbine Engines and Accessories," ASME Turbo Expo 2007: Power for Land, Sea and Air Preprint No. GT2007-27660, ASME, New York, NY.
    • (2007) ASME Turbo Expo 2007: Power for Land, Sea and Air Preprint
    • Watson, M.J.1    Sheldon, J.S.2    Amin, S.R.3    Lee, H.4    Byington, C.S.5    Begin, M.6
  • 12
    • 21244485471 scopus 로고    scopus 로고
    • An Intelligent Ultra High Frequency Vibration Monitoring System for Turbomachinery Bearings
    • Long Beach, CA
    • Kalgren, P., Byington, C., and Kallappa, P. (2004), "An Intelligent Ultra High Frequency Vibration Monitoring System for Turbomachinery Bearings," ASME/STLE International Joint Tribology Conference, Long Beach, CA.
    • (2004) ASME/STLE International Joint Tribology Conference
    • Kalgren, P.1    Byington, C.2    Kallappa, P.3
  • 15


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.