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Volumn 47, Issue 12, 2003, Pages 49-56

New monitoring technique with an ICA algorithm in the wastewater treatment processes

Author keywords

Fault detection; Independent component analysis (ICA); Kernel density estimation; Monitoring; Principal component analysis (PCA); Simulation benchmark

Indexed keywords

ALGORITHMS; DIAGNOSIS; INDEPENDENT COMPONENT ANALYSIS; PARAMETER ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; VECTORS;

EID: 0042123781     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2003.0627     Document Type: Conference Paper
Times cited : (32)

References (11)
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  • 2
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    • Martin, E.B.1    Morris, A.J.2
  • 5
    • 0042546613 scopus 로고    scopus 로고
    • Towards a benchmark for evaluating control strategies in wastewater treatment plants by simulation
    • Pons, M.N., Spanjers, H. and Jeppsson, U. (1999). Towards a benchmark for evaluating control strategies in wastewater treatment plants by simulation, Proc. ESCAPE 9, Budapest, 31 May-2 June 1999.
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    • Vigário, R.N.1
  • 10
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    • The process chemometrics approach to process monitoring and fault detection
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    • Disturbance detection and isolation in the activated sludge process
    • Yoo, C.K. Choi, S.W. and Lee, I. (2002). Disturbance detection and isolation in the activated sludge process, Wat. Sci. Tech., 45(4-5), 217-226
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.