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Volumn 2, Issue , 2012, Pages 736-744

Extreme value statistics for vibration spectra outlier detection

Author keywords

Bearing; Excess; Fault detection; Generalized pareto; Maximum; Periodogram; Probabilistic model; Rotating machine; Vibration

Indexed keywords

BEARINGS (STRUCTURAL); CONDITION MONITORING; FAULT DETECTION;

EID: 84905817157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (19)
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  • 8
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  • 9
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    • Novelty detection using self-organizing maps
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    • A. Ypma, R. Duin, Novelty detection using self-organizing maps, in: N. Kasabov, R. Kozma, K. Ko, R. O'Shea, G. Goghill, T. Gedeon (Eds.), Progress in Connectionist-Based Information Systems, Vol.2, Springer Verlag, 1997, pp. 1322-1325.
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    • Ypma, A.1    Duin, R.2
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    • Bayesian extreme value statistics for novelty detection in gas-turbine engines
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    • Bayesian inference for outlier detection in vibration spectra with small learning dataset
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.