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Volumn 38, Issue 1, 2011, Pages 1066-1072

Neuro fuzzy based predict the insulation quality of high voltage rotating machine

Author keywords

Capacitance; Dissipation factor; Insulation resistance; Neural network and fuzzy logic; Partial discharge magnitude; Rotating machine insulation

Indexed keywords

CAPACITANCE; EXPERT SYSTEMS; FAILURE (MECHANICAL); FUZZY INFERENCE; FUZZY LOGIC; PARTIAL DISCHARGES; ROTATING MACHINERY; SOFTWARE ENGINEERING;

EID: 77956615402     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.06.096     Document Type: Review
Times cited : (13)

References (17)
  • 13
    • 0022206607 scopus 로고
    • Report of large motor reliability survey of industrial and commercial installations: Part i and II
    • P. O'Donnell Report of large motor reliability survey of industrial and commercial installations: Part I and II IEEE Transactions on Industry Applications 21 4 1985 853 872
    • (1985) IEEE Transactions on Industry Applications , vol.21 , Issue.4 , pp. 853-872
    • O'Donnell, P.1
  • 16
    • 0036817818 scopus 로고    scopus 로고
    • Advancements during the past quarter century in on-line monitoring of motor and generator insulation monitoring
    • G.C. Stone Advancements during the past quarter century in on-line monitoring of motor and generator insulation monitoring IEEE Transactions on Dielectrics and Electrical Insulation 32 5 2002 746 751
    • (2002) IEEE Transactions on Dielectrics and Electrical Insulation , vol.32 , Issue.5 , pp. 746-751
    • Stone, G.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.