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Volumn 125 AISC, Issue , 2012, Pages 277-283

Multi-classification LSSVM application in fault diagnosis of wind power gearbox

Author keywords

artificial neural network; fault diagnosis; MCLSSVM; wind turbines gearbox

Indexed keywords

DECISION-MAKING STRUCTURE; FAILURE MECHANISM; FAULT DIAGNOSIS PROBLEM; LEAST SQUARES SUPPORT VECTOR MACHINES; MCLSSVM; MULTI-CLASSIFICATION; SMALL SAMPLES; VIBRATION CHARACTERISTICS; VOTING METHOD;

EID: 84860721980     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-27329-2_38     Document Type: Conference Paper
Times cited : (1)

References (8)
  • 1
    • 84860786249 scopus 로고    scopus 로고
    • Wavelet packet analysis method application in gearbox fault feature extraction
    • Yang, J., Xiong, S.: Wavelet packet analysis method application in gearbox fault feature extraction. Vibration, Test and Diagnosis (2000)
    • (2000) Vibration, Test and Diagnosis
    • Yang, J.1    Xiong, S.2
  • 7
    • 84860721594 scopus 로고    scopus 로고
    • A fault diagnosis of gearbox based on SVM
    • Wu, D.: A fault diagnosis of gearbox based on SVM. Vibration, Test and Diagnosis (2008)
    • (2008) Vibration, Test and Diagnosis
    • Wu, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.