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Volumn 241 CCIS, Issue , 2011, Pages 30-36

Fault diagnosis of journal-bearing of generator using power spectral density and fault probability distribution function

Author keywords

Fault diagnosis; G rms; generator journal bearing; Maintenance; PDF; PDS

Indexed keywords

DRIVING FREQUENCIES; FAULT PROBABILITIES; G RMS; GENERATOR JOURNAL-BEARING; INDUSTRIAL COMPANIES; MAINTENANCE QUALITY; MULTIPLE SOURCE; PDF; PDS; RANDOM VIBRATIONS; VIBRATION ENVIRONMENT;

EID: 83755162318     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-27337-7_4     Document Type: Conference Paper
Times cited : (10)

References (7)
  • 3
    • 0347526092 scopus 로고    scopus 로고
    • Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection
    • Samanta, B., Al-Balushi, K.R., Al-Araimi, S.A.: Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection. Engineering Applications of Artificial Intelligence 16, 657-665 (2003)
    • (2003) Engineering Applications of Artificial Intelligence , vol.16 , pp. 657-665
    • Samanta, B.1    Al-Balushi, K.R.2    Al-Araimi, S.A.3
  • 7
    • 84855346621 scopus 로고    scopus 로고
    • http://www.cygres.com


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.