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Volumn 25, Issue 17-18, 2005, Pages 2698-2714

Design of the measurements validation procedure and the expert system architecture for a cogeneration internal combustion engine

Author keywords

Artificial neural network; Diagnosis; Energy system; Fuzzy logic; Monitoring

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIAGNOSIS; ENERGY EFFICIENCY; FUZZY SETS; MACHINE DESIGN; MONITORING; NEURAL NETWORKS; OPTIMIZATION;

EID: 23844461343     PISSN: 13594311     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.applthermaleng.2004.12.006     Document Type: Article
Times cited : (17)

References (14)
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    • AES
    • F. Fantozzi, U. Desideri, LO.CO.MO.DIA Low cost monitoring for diagnostic purposes of a small scale CHP plant, in: Proceedings of ASME Advanced Energy System Division, AES, vol. 40, 2000, pp. 471-479.
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    • Fantozzi, F.1    Desideri, U.2
  • 4
    • 0019917399 scopus 로고
    • Instrument fault detection in a pressurized water reactor pressuriser
    • R.N. Clark, and B. Campbell Instrument fault detection in a pressurized water reactor pressuriser Nucl. Technol. 56 1982 23 32
    • (1982) Nucl. Technol. , vol.56 , pp. 23-32
    • Clark, R.N.1    Campbell, B.2
  • 6
    • 84962886809 scopus 로고    scopus 로고
    • Artificial intelligence for real-time diagnostics and prognostics of gas-turbine engines
    • Paper no. AIAA 97-2899
    • A. Green, D. Allen, Artificial intelligence for real-time diagnostics and prognostics of gas-turbine engines, 33rd JPC & Exhibition, Paper no. AIAA 97-2899, 1997.
    • (1997) 33rd JPC & Exhibition
    • Green, A.1    Allen, D.2
  • 8
    • 0041117063 scopus 로고    scopus 로고
    • Instrument surveillance and calibration verification through plant wide monitoring using autoassociative neural networks
    • D.J. Wrest, J.W. Hines, R.E. Uhrig, Instrument surveillance and calibration verification through plant wide monitoring using autoassociative neural networks, in: Proceedings of 1996 ANSITMNPI, 1996.
    • (1996) Proceedings of 1996 ANSITMNPI
    • Wrest, D.J.1    Hines, J.W.2    Uhrig, R.E.3
  • 9
    • 84963856553 scopus 로고    scopus 로고
    • Fault diagnosis of a turbofan engine using neural networks: A quantitative approach
    • Paper N. AIAA 98-3602
    • M. Zedda, R. Singh, Fault diagnosis of a turbofan engine using neural networks: a quantitative approach, Paper N. AIAA 98-3602, 34th JPC & Exhibition, 1998.
    • (1998) 34th JPC & Exhibition
    • Zedda, M.1    Singh, R.2
  • 12
    • 0000235347 scopus 로고    scopus 로고
    • The application of expert systems and neural networks to gas turbine prognostics and diagnostics
    • H.R. DePold, and F.D. Gass The application of expert systems and neural networks to gas turbine prognostics and diagnostics J. Eng. Gas Turb. Power 121 October 1999 607 612
    • (1999) J. Eng. Gas Turb. Power , vol.121 , pp. 607-612
    • Depold, H.R.1    Gass, F.D.2
  • 13
    • 23844522990 scopus 로고    scopus 로고
    • An intelligent sensor validation and fault diagnostic technique for diesel engine
    • July 3-5, Berlino, Germania
    • E. Mesbahi, An intelligent sensor validation and fault diagnostic technique for diesel engine, in: Proceedings of ECOS 2002, July 3-5, Berlino, Germania.
    • Proceedings of ECOS 2002
    • Mesbahi, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.