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Volumn 211-212, Issue , 2011, Pages 510-514

Fault diagnosis of bearings based on time-delayed correlation demodulation and fuzzy clustering

Author keywords

Fault diagnosis; Fuzzy clustering; Rolling bearing; Time delayed correlation demodulation

Indexed keywords

BEARING FAULT DIAGNOSIS; EXPERIMENTAL PLATFORM; FAILURE DIAGNOSIS; FAULT DIAGNOSIS; FAULT DIAGNOSTICS; FUZZY C MEANS CLUSTERING; MECHANICAL EQUIPMENT; ROLLING BEARINGS; ROLLING ELEMENT BEARING; TIME-DELAYED CORRELATION DEMODULATION; VIBRATION SIGNAL;

EID: 79952748465     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.211-212.510     Document Type: Conference Paper
Times cited : (2)

References (8)
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  • 2
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  • 3
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  • 4
    • 34247382054 scopus 로고    scopus 로고
    • An analysis method for the vibration signal with amplitude modulation in a bearing system
    • DOI 10.1016/j.jsv.2007.01.035, PII S0022460X0700106X
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    • Sheen, Y.-T.1
  • 6
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    • Fault recognition of vehicle transmission gear based on time series analysis and fuzzy cluster
    • Yang Zhengmin, Yin Andong: Fault Recognition of Vehicle Transmission Gear Based on Time Series Analysis and Fuzzy Cluster, Transactions of the Chinese Society of Agricultural Machinery Vol. 24(2004), p. 129-133.
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    • Yang, Z.1    Yin, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.