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Volumn 7, Issue 1, 2008, Pages 1-6

Fault diagnosis for a rolling bearing used in a reciprocating machine by adaptive filtering technique and fuzzy neural network

Author keywords

Adaptive filtering; Fault diagnosis; Fuzzy neural network; Reciprocating machine; Rolling bearing; Signal processing

Indexed keywords

ADAPTIVE FILTERING; FAILURE ANALYSIS; FEATURE EXTRACTION; FUZZY NEURAL NETWORKS; NOISE ABATEMENT; TIME DOMAIN ANALYSIS; VIBRATIONS (MECHANICAL);

EID: 43449128855     PISSN: 11092777     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (23)

References (15)
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  • 2
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    • A review of rolling element bearing monitoring technique
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  • 3
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    • Prabhakar, S.1    Mohanty, A.R.2    Sekhar, A.S.3
  • 4
    • 33846262061 scopus 로고    scopus 로고
    • An alternative time-domain index for condition monitoring of rolling element bearings - A comparison study
    • Tao, B. et al., An alternative time-domain index for condition monitoring of rolling element bearings - A comparison study, Journal of Reliability Engineering and System Safety, Vol.92, No.5, 2007, pp. 660-670.
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    • Tao, B.1
  • 5
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    • (2000) Journal of Mechanical System and Signal Processing , vol.14 , Issue.6 , pp. 891-906
    • McFadden, P.D.1    Toozhy, M.M.2
  • 7
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    • Rolling bearing fault diagnosis with wavelet-based method
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    • Jun, P.1    Liao, M.-F.2
  • 11
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    • Combined adaptive filter with Ims-based algorithm
    • UAE
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  • 12
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    • An exact analysis of the LMS algorithm with tonal reference signals in the presence of frequency mismatch
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  • 14
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  • 15
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    • Sequential condition diagnosis for centrifugal pump system using fuzzy neural network
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    • Wang, H.1    Chen, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.