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Volumn 129, Issue 3, 2007, Pages 746-754

Hybrid Kalman filter approach for aircraft engine in-flight diagnostics: Sensor fault detection case

Author keywords

Flight safety; In flight fault detection; Kalman filter; On board engine model

Indexed keywords

COMPUTER SIMULATION; FAILURE ANALYSIS; FAULT DETECTION; KALMAN FILTERS; PIECEWISE LINEAR TECHNIQUES;

EID: 34848918450     PISSN: 07424795     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.2718572     Document Type: Article
Times cited : (52)

References (14)
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  • 3
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    • Setting Up of a Probabilistic Neural Network for Sensor Fault Detection Including Operation With Component Faults
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    • Romessis, C.1    Mathioudakis, K.2
  • 7
    • 22744436184 scopus 로고    scopus 로고
    • Evaluation of an Enhanced Bank of Kalman Filters for In-Flight Aircraft Engine Sensor Fault Diagnostics
    • Kobayashi, T., and Simon, D. L., 2005, "Evaluation of an Enhanced Bank of Kalman Filters for In-Flight Aircraft Engine Sensor Fault Diagnostics," J. Eng. Gas Turbines Power, 127, pp. 497-504.
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    • Kobayashi, T.1    Simon, D.L.2
  • 9
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    • Towards In-Flight Detection and Accommodation of Faults in Aircraft Engines
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    • Rausch, R., Viassolo, D. E., Kumar, A., Goebel, K., Eklund, N., Brunell, B., and Bonanni, P., 2004, "Towards In-Flight Detection and Accommodation of Faults in Aircraft Engines," AIAA Pap. No. 2004-6463.
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  • 13
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    • Advanced Detection, Isolation, and Accommodation of Sensor Failures-Real-Time Evaluation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.