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Volumn , Issue , 2015, Pages

PEM fuel cell prognostics using particle filter with model parameter adaptation

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED COMPUTER SYSTEMS; DYNAMIC LOADS; GAS FUEL PURIFICATION; MONTE CARLO METHODS; SELF-HEALING MATERIALS; SYSTEMS ENGINEERING;

EID: 84929601099     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPHM.2014.7036406     Document Type: Conference Paper
Times cited : (61)

References (13)
  • 4
    • 84920548006 scopus 로고    scopus 로고
    • An unscented kalman filter based approach for the health monitoring and prognostics of a polymer electrolyte membrane fuel cell
    • X. Zhang and P. Pisu, "An unscented kalman filter based approach for the health monitoring and prognostics of a polymer electrolyte membrane fuel cell", in Annual Conference of Prognostics and Health Management Society, 2012.
    • (2012) Annual Conference of Prognostics and Health Management Society
    • Zhang, X.1    Pisu, P.2
  • 8
    • 84867800107 scopus 로고    scopus 로고
    • Impedance-based diagnosis of polymer electrolyte membrane fuel cell failures associated with a low frequency ripple current
    • J. Kim, I. Lee, Y. Tak, and B. Cho, "Impedance-based diagnosis of polymer electrolyte membrane fuel cell failures associated with a low frequency ripple current", Renewable Energy, vol. 51, pp. 302-309, 2013.
    • (2013) Renewable Energy , vol.51 , pp. 302-309
    • Kim, J.1    Lee, I.2    Tak, Y.3    Cho, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.