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Volumn , Issue , 2010, Pages 179-184

On PCA-based fault diagnosis techniques

Author keywords

[No Author keywords available]

Indexed keywords

DETECTABILITY; FAULT CLASSIFICATION; FAULT DIAGNOSIS; FAULT DIAGNOSIS SYSTEMS; FAULT DIAGNOSIS TECHNIQUE; FAULT DIRECTION; FAULT IDENTIFICATIONS; FAULT ISOLATION; LIKELIHOOD RATIO TESTS;

EID: 78751659747     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SYSTOL.2010.5676031     Document Type: Conference Paper
Times cited : (31)

References (12)
  • 2
    • 0037443803 scopus 로고    scopus 로고
    • Review of process fault detection and diagnosis part iii: Quantitative model-based methods
    • V. Venkatasubramanian, R. Rengaswamy, S. Kavuri, and K. Yin, "Review of process fault detection and diagnosis part iii: Quantitative model-based methods," Computers and chemical engineering, vol. 27, pp. 327-346, 2003.
    • (2003) Computers and Chemical Engineering , vol.27 , pp. 327-346
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Kavuri, S.3    Yin, K.4
  • 3
    • 0242354134 scopus 로고    scopus 로고
    • Statistical process monitoring: Basics and beyond
    • S. Qin, "Statistical process monitoring: Basics and beyond," Journal of Chemometrics, vol. 17, pp. 480-502, 2003.
    • (2003) Journal of Chemometrics , vol.17 , pp. 480-502
    • Qin, S.1
  • 4
    • 77950346961 scopus 로고    scopus 로고
    • Data-driven fault detection and diagnosis for complex industrial processes
    • S. Qin, "Data-driven fault detection and diagnosis for complex industrial processes," in Proc. of IFAC Symp. SAFEPROCESS'2009, 2009.
    • Proc. of IFAC Symp. SAFEPROCESS'2009, 2009
    • Qin, S.1
  • 8
    • 74249108882 scopus 로고    scopus 로고
    • Efficient recursive principal component analysis algorithms for process monitoring
    • L. Elshenawy, S. Yin, A. Naik, and S. Ding, "Efficient recursive principal component analysis algorithms for process monitoring," Industrial and engineering chemistry research, vol. 49, pp. 252-259, 2010.
    • (2010) Industrial and Engineering Chemistry Research , vol.49 , pp. 252-259
    • Elshenawy, L.1    Yin, S.2    Naik, A.3    Ding, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.