On-line detection of contamination in a bioprocess using artificial neural networks

被引：0
|
作者：
Bhowmik, U.Kr. [1 ]
Salia, Contain [1 ]
Barna, Alok [1 ]
Sinlia, Satyabroto [1 ]
机构：
[1] Department of Electrical Engineering, Indian Institute of Technology, Kharagpur -721302, India
来源：
Chemical Engineering and Technology | 2000年 / 23卷 / 06期
关键词：
Computer software - Contamination - Neural networks - Online systems;
D O I：
10.1002/1521-4125(200006)23:63.0.CO;2-0
中图分类号：
学科分类号：
摘要：
Fermentation is a very important bioprocess for the production of drugs, food products, beverage and for animal cell line culture etc. The substrates used in these processes are expensive. So on-line monitoring of contamination in a fermentation process is very essential in industries. A new method for contamination detection is being proposed in this paper. This is a software-based method. In this new method, the state variables of the process are used to detect contamination of the process.
引用
收藏
页码：543 / 549
相关论文
共 50 条
  • [1] On-line detection of contamination in a bioprocess using artificial neural networks
    Bhowmik, UK
    Saha, G
    Barua, A
    Sinha, S
    CHEMICAL ENGINEERING & TECHNOLOGY, 2000, 23 (06) : 543 - 549
  • [2] On-line adaptation of neural networks for bioprocess control
    Gadkar, KG
    Mehra, S
    Gomes, J
    COMPUTERS & CHEMICAL ENGINEERING, 2005, 29 (05) : 1047 - 1057
  • [3] On-Line Detection of Mastitis in Dairy Herds Using Artificial Neural Networks
    Wang, E.
    Samarasinghe, S.
    MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING, 2005, : 273 - 278
  • [4] On-line estimation of quantities using artificial neural networks
    Zilková, Jaroslava
    Timko, Jaroslav
    Acta Technica CSAV (Ceskoslovensk Akademie Ved), 2002, 47 (03): : 305 - 315
  • [5] USING ARTIFICIAL NEURAL NETWORKS IN BIOPROCESS CONTROL
    RAJU, GK
    COONEY, CL
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1990, 200 : 164 - BIOT
  • [6] On-line fault detection of transmission line using artificial neural network
    El Safty, SM
    Ashour, HA
    El Dessouki, H
    El Sawaf, M
    2004 International Conference on Power System Technology - POWERCON, Vols 1 and 2, 2004, : 1629 - 1632
  • [7] On-line tool condition monitoring using artificial neural networks
    Javed, M.A.
    Hope, A.D.
    Littlefair, G.
    Adradi, D.
    Smith, G.T.
    Rao, B.K.N.
    Insight: Non-Destructive Testing and Condition Monitoring, 1996, 38 (05): : 351 - 354
  • [8] On-line identification of modal parameters using artificial neural networks
    Lim, TW
    Cabell, RH
    Silcox, RJ
    JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME, 1996, 118 (04): : 649 - 656
  • [9] On-line tool condition monitoring using artificial neural networks
    Javed, MA
    Hope, AD
    Littlefair, G
    Adradi, D
    Smith, GT
    Rao, BKN
    INSIGHT, 1996, 38 (05) : 351 - 354
  • [10] On-line transient stability assessment using artificial neural networks
    Aboytes, F
    Ramirez, R
    CONTROL OF POWER PLANTS AND POWER SYSTEMS (SIPOWER'95), 1996, : 305 - 310
12345