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Volumn , Issue , 2013, Pages 77-84

On the use of Spectral Kurtosis for diagnosis of electrical machines

Author keywords

Electrical Machine Diagnosis; Spectral Kurtosis; Statistical Analysis

Indexed keywords

ELECTRIC MACHINERY; HIGHER ORDER STATISTICS; POWER ELECTRONICS; SIGNAL DETECTION; STATISTICAL METHODS;

EID: 84891090398     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEMPED.2013.6645700     Document Type: Conference Paper
Times cited : (8)

References (16)
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  • 2
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    • Fault detection and diagnosis using principal component analysis of vibration data from a reciprocating compressor
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  • 11
    • 70350426577 scopus 로고    scopus 로고
    • Detection of generalized-roughness bearing fault by spectral-kurtosis energy of vibration or current signals
    • Nov
    • F. Immovilli, M. Cocconcelli, A. Bellini, and R. Rubini, "Detection of generalized-roughness bearing fault by spectral-kurtosis energy of vibration or current signals," IEEE Transactions on Industrial Electronics, vol. 56, no. 11, pp. 4710-4717, Nov. 2009.
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  • 13
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  • 14
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  • 15
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    • Z. Obeid, A. Picot, S. Poignant, J. Regnier, O. Darnis, and P. Maussion, "Experimental comparison between diagnostic indicators for bearing fault detection in synchronous machine by spectral kurtosis and energy analysis," in 38th Annual Conference on IEEE Industrial Electronics Society, IECON, Oct. 2012, pp. 3901-3906.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.