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Volumn 2, Issue , 2009, Pages 640-651

Assessment of statistical and classification models for monitoring EDF'S assets

Author keywords

Empirical modeling; Equipment monitoring; Fault isolation; Power plants

Indexed keywords

ACOUSTIC ANALYSIS; CLASSIFICATION MODELS; COMMERCIAL TOOLS; EARLY DETECTION; EMPIRICAL MODELING; EQUIPMENT MONITORING; EVOLVING CLUSTERING METHODS; FAULT ISOLATION; FAULTY SENSOR; KERNEL REGRESSION METHOD; MATLAB PLATFORM; MONITORING METHODS; MONITORING TECHNIQUES; POWER INDUSTRY; POWER PLANT COMPONENTS; STATISTICAL INDICATORS; THERMAL IMAGING;

EID: 77952077020     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (9)
  • 2
    • 0036530967 scopus 로고    scopus 로고
    • Denfis: Dynamic, evolving neaural fuzzy inference system and its application for time-series prediction
    • N. Kasabov, Q. Song - Denfis : Dynamic, evolving neaural fuzzy inference system and its application for time-series prediction. IEEE Transaction on Fuzzy System, 10(2): 144-154.
    • IEEE Transaction on Fuzzy System , vol.10 , Issue.2 , pp. 144-154
    • Kasabov, N.1    Song, Q.2
  • 4
    • 34548463136 scopus 로고    scopus 로고
    • Principal Component Analysis
    • 2nd ed., Springer, NY, illustrations
    • I.T Jolliffe Principal Component Analysis, Series: Springer Series in Statistics, 2nd ed., Springer, NY, 2002, XXIX, 487 p. 28 illustrations
    • (2002) Series: Springer Series in Statistics , vol.29 , Issue.487 , pp. 28
    • Jolliffe, I.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.