메뉴 건너뛰기




Volumn 69, Issue 1, 1991, Pages 35-47

Multivariate statistical monitoring of process operating performance

Author keywords

fault detection; partial least squares; performance monitoring; principal component analysis; projection to latent structures; statistical process control

Indexed keywords

COMPUTER CONTROL; DATA ACQUISITION; MATHEMATICAL TECHNIQUES; PROCESS CONTROL;

EID: 0026108818     PISSN: 00084034     EISSN: 1939019X     Source Type: Journal    
DOI: 10.1002/cjce.5450690105     Document Type: Article
Times cited : (824)

References (41)
  • 5
    • 84989426776 scopus 로고
    • Private Communication, Department of Chemical Engineering, McMaster University
    • (1989)
    • Chin, A.1
  • 17
    • 0018503842 scopus 로고
    • Control Procedures for Residuals Associated with Principal Component Analysis
    • (1979) Technometrics , vol.21 , pp. 341-349
    • Jackson, J.E.1
  • 18
    • 84989476418 scopus 로고
    • Private Communication, Department of Chemical Engineering, McMaster University
    • (1989)
    • Kelly, J.1
  • 19
    • 84989414509 scopus 로고
    • “Choosing Inferential Variables Using Projection to Latent Structures (PLS) with Application to Multicomponent Distillation”, Presented at Annual AIChE Meeting, Chicago, IL., Nov.
    • (1990)
    • Kresta, J.1    Marlin, T.E.2    MacGregor, J.F.3
  • 24
    • 0023742492 scopus 로고
    • Analysis of Air Pollution Plant Exposure Data: The Soft Independent Modelling of Class Analogy (SIMCA) and Partial Least Squares Modelling with Latent Variable (PLS) Approaches
    • (1988) Environ. Pollut. , vol.53 , pp. 313-331
    • Moseholm, L.1
  • 34
    • 84951601886 scopus 로고
    • Cross‐Validatory Estimation of the Number of Components in Factor and Principal Component Models
    • (1978) Technometrics , vol.20 , pp. 397-405
    • Wold, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.