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Volumn 78, Issue 3, 2011, Pages 142-146

Monitoring and sensor fault detection in a waste-water treatment process based on a fuzzy model;Zaznavanje napak in spremljanje čiščenja odpadnih voda na podlagi mehkega modela

Author keywords

Fault detection; Fuzzy clustering; Fuzzy modelling; Process monitoring; Waste water treatment plant

Indexed keywords

A PLANTS; AEROBIC REACTOR; AMMONIA CONCENTRATIONS; CURRENT BEHAVIORS; FAULT-TOLERANT; FUZZY MODELLING; FUZZY MODELS; GUSTAFSON-KESSEL; NON-LINEARITY; NORMAL OPERATIONS; SENSOR FAULT; SENSOR FAULT DETECTION; SIMULATION MODEL; TAKAGI SUGENO FUZZY MODELS;

EID: 84856376687     PISSN: 00135852     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (12)
  • 1
    • 0036466502 scopus 로고    scopus 로고
    • Dynamic process fault monitoring based on neural network and PCA
    • DOI 10.1016/S0959-1524(01)00027-0, PII S0959152401000270
    • Chen, J., Liao, C. M., "Dynamic process fault monitoring based on neural network and PCA". Jour. of Process Control, vol. 12, pp. 277-289, 2002. (Pubitemid 33110475)
    • (2002) Journal of Process Control , vol.12 , Issue.2 , pp. 277-289
    • Chen, J.1    Liao, C.-M.2
  • 2
    • 0037050835 scopus 로고    scopus 로고
    • Robust fault detection based on compensation of the modelling error
    • DOI 10.1080/00207720110073172
    • Klančar, G., D. Juričic, R. Karba., "Robust fault detection based on compensation of the modelling error". International journal of Systems Science, vol. 33, no. 2, pp. 97-105, 2002. (Pubitemid 34593752)
    • (2002) International Journal of Systems Science , vol.33 , Issue.2 , pp. 97-105
    • Klancar, G.1    Juricic, D.2    Karba, R.3
  • 5
    • 0343337279 scopus 로고    scopus 로고
    • System analysis for optimal control of a wastewater treatment benchmark
    • Vrečko, D., Hvala, N., Kocijan, J., Zec, M. "System analysis for optimal control of a wastewater treatment benchmark". Water sci. technol., vol. 43, pp. 199-206, 2001. (Pubitemid 32479269)
    • (2001) Water Science and Technology , vol.43 , Issue.7 , pp. 199-206
    • Vrecko, D.1    Hvala, N.2    Kocijan, J.3    Zee, M.4
  • 6
    • 0036206591 scopus 로고    scopus 로고
    • Wastewater treatment benchmark: What can be achieved with simple control?
    • Vrečko, D., Hvala, N., Kocijan, J., "Wastewater treatment benchmark : What can be achieved with simple control?". Water sci. technol., vol. 45, pp. 127-134, 2002. (Pubitemid 34256532)
    • (2002) Water Science and Technology , vol.45 , Issue.4-5 , pp. 127-134
    • Vreko, D.1    Hvala, N.2    Kocijan, J.3
  • 7
    • 0036380058 scopus 로고    scopus 로고
    • Simulation study supporting wastewater treatment plant upgrading
    • Hvala, N., Vrečko, D., Burica, O., Stražar, M., Levstek, M., "Simulation study supporting wastewater treatment plant upgrading". Water sci. technol., vol. 46, pp. 325-332, 2002.
    • (2002) Water Sci. Technol. , vol.46 , pp. 325-332
    • Hvala, N.1    Vrečko, D.2    Burica, O.3    Stražar, M.4    Levstek, M.5
  • 8
    • 0028532753 scopus 로고
    • Fuzzy systems as universal approximators
    • Kosko, B., "Fuzzy Systems as Universal Approximators", IEEE Transactions on Computers, vol. 43, no. 11, pp. 1329-1333, 1994.
    • (1994) IEEE Transactions on Computers , vol.43 , Issue.11 , pp. 1329-1333
    • Kosko, B.1
  • 9
    • 0031187917 scopus 로고    scopus 로고
    • Necessary conditions for some typical fuzzy systems as universal approximators
    • Ying, H. GC., "Necessary conditions for some typical fuzzy systems as universal approximators", Automatica, vol. 33, pp. 1333-1338, 1997.
    • (1997) Automatica , vol.33 , pp. 1333-1338
    • Ying, H.G.C.1
  • 10
    • 0026928374 scopus 로고
    • Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
    • Wang, L.-X., Mendel, J. M., "Fuzzy basis functions, universal approximation, and orthogonal least-squares learning", IEEE Trans. Neural Networks, vol. 3, no. 5, pp. 807-814, 1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , Issue.5 , pp. 807-814
    • Wang, L.-X.1    Mendel, J.M.2
  • 12
    • 0031151848 scopus 로고    scopus 로고
    • Siso nonlinear system identification using a fuzzyneural hybrid system
    • Lin, C-H., "Siso nonlinear system identification using a fuzzyneural hybrid system", Int. Jour. of Neural Systems, vol. 8, no. 3, pp. 325-337, 1997.
    • (1997) Int. Jour. of Neural Systems , vol.8 , Issue.3 , pp. 325-337
    • Lin, C.-H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.