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Volumn 223, Issue 5, 2009, Pages 533-541

Probabilistic approach to the condition monitoring of aerospace engines

Author keywords

Aero engines; Condition monitoring; Health monitoring; Novelty detection; Probabilistic

Indexed keywords

ADVANCED DIAGNOSTICS; AERO ENGINES; AEROSPACE ENGINES; ENGINEERING KNOWLEDGE; FAULT CONDITIONS; HEALTH MONITORING; KEY ELEMENTS; KEY FEATURE; LOW LEVEL; MONITORING METHODS; MONITORING TOOLS; NOVELTY DETECTION; ORIGINAL EQUIPMENT MANUFACTURES; PROBABILISTIC; PROBABILISTIC APPROACHES; SERVICE OFFERING; SYSTEM AVAILABILITY;

EID: 69249157622     PISSN: 09544100     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544100JAERO414     Document Type: Article
Times cited : (16)

References (22)
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    • The automatic interpretation of vibration data from gas turbines
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    • Allwood, R.1    King, S.2    Pitts, N.3
  • 13
    • 33750100476 scopus 로고    scopus 로고
    • A neural network-based novelty detector for image sequence analysis
    • Markou, M. and Singh, S. A neural network-based novelty detector for image sequence analysis. IEEE Trans. Pattern Anal. Mach. Intell., 2006, 28(10), 1664-1677.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.10 , pp. 1664-1677
    • Markou, M.1    Singh, S.2
  • 19
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    • Limiting forms of the frequency distributions of the largest or smallest members of a sample
    • Fisher, R. A. and Tippett, L. H. C. Limiting forms of the frequency distributions of the largest or smallest members of a sample. In Proceedings of the Cambridge Philosophical Society, 1928, p. 24.
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    • Fisher, R.A.1    Tippett H. L, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.