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Volumn 220-223, Issue , 2012, Pages 2228-2234

Feature extraction of nonstationarity vibration signal based on wavelet decomposition

Author keywords

Feature extraction; Hilbert transform; Nonstationarity viberation; Rolling bearing; Wavelet decomposition

Indexed keywords

CHARACTERISTIC FREQUENCIES; DEMODULATION TECHNIQUES; DIFFERENT FREQUENCY; EXTRACTION METHOD; FAULT FEATURE; FAULT MODES; FAULT SIGNAL; FEATURE REPRESENTATION; HILBERT TRANSFORM; LOCALIZED DEFECTS; NON-STATIONARITIES; ROLLING BEARINGS; SPECIAL FREQUENCY BAND; VIBRATION SIGNAL;

EID: 84870590631     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.220-223.2228     Document Type: Conference Paper
Times cited : (1)

References (8)
  • 2
    • 39049169097 scopus 로고    scopus 로고
    • (Mechanical Industry Press, Beijing, China, (In Chinese)
    • Jianguo Yang. Wavelet Analysis and Its Application (Mechanical Industry Press, Beijing, China 2005) (In Chinese)
    • (2005) Wavelet Analysis and Its Application
    • Yang, J.1
  • 8
    • 84870593943 scopus 로고    scopus 로고
    • Chemical Industry Press, Beijing, China, (In Chinese)
    • Guohua Li, Yongzhong Zhang. Machinery Fault Diagnosis (Chemical Industry Press, Beijing, China 2006) (In Chinese)
    • (2006) Machinery Fault Diagnosis
    • Li, G.1    Zhang, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.