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Volumn 50, Issue 2, 2000, Pages 243-252

Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis

Author keywords

Chemometric methods; Dimensionality reduction; Discriminant analysis; Discriminant partial least squares; Fault detection; Fault diagnosis; Fisher's discriminant analysis; Large scale systems; Multivariate statistics; Pattern classification; Principal component analysis; Process monitoring

Indexed keywords

ARTICLE; CHEMICAL REACTION; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; ERROR; INFORMATION PROCESSING; MODEL; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; TECHNIQUE;

EID: 0034643075     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(99)00061-1     Document Type: Article
Times cited : (613)

References (44)
  • 25
  • 29
    • 56349116838 scopus 로고
    • Upset and sensor failure detection in multivariate processes
    • Manson, WA: Eigenvector Research
    • Wise B.M., Ricker N.L., Veltkamp D.F. Upset and sensor failure detection in multivariate processes. Technical report. 1989;Eigenvector Research, Manson, WA.
    • (1989) Technical Report
    • Wise, B.M.1    Ricker, N.L.2    Veltkamp, D.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.