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Journal articles on the topic 'On-line process control'

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Published: 10 March 2023

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1

Sedillot, S. "Distributed On-line Digitized Control Architectures for Process Control." IFAC Proceedings Volumes 18, no. 11 (September 1985): 575–80. http://dx.doi.org/10.1016/s1474-6670(17)60186-1.

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2

Fransson, Magnus, Anders Sparén, Bengt Lagerholm, and Lars Karlsson. "On-Line Process Control of Liquid Chromatography." Analytical Chemistry 73, no. 7 (April 2001): 1502–8. http://dx.doi.org/10.1021/ac001149w.

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3

Persson, W., W. Wendt, and H. Bertheussen. "On-line optical process control in steelmaking." JOM 41, no. 10 (October 1989): 17–19. http://dx.doi.org/10.1007/bf03220355.

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4

Weerapperuma, Dilrika, and Viraj de Silva. "ON-LINE ANALYZER APPLICATIONS FOR BNR PROCESS CONTROL." Proceedings of the Water Environment Federation 2004, no. 13 (January 1, 2004): 474–78. http://dx.doi.org/10.2175/193864704784137936.

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5

Tanomaru, J., and S. Omatu. "Process control by on-line trained neural controllers." IEEE Transactions on Industrial Electronics 39, no. 6 (1992): 511–21. http://dx.doi.org/10.1109/41.170970.

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6

Van Der Linden, W. E. "Flow injection analysis in on-line process control." Analytica Chimica Acta 179 (1986): 91–101. http://dx.doi.org/10.1016/s0003-2670(00)84456-6.

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7

Osanlou, Ardeshir. "Holographic digital microscopy in on-line process control." Optical Engineering 50, no. 9 (September 1, 2011): 091312. http://dx.doi.org/10.1117/1.3605676.

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8

Gong, Linguo, Wushong Jwo, and Kwei Tang. "Using On-Line Sensors in Statistical Process Control." Management Science 43, no. 7 (July 1997): 1017–28. http://dx.doi.org/10.1287/mnsc.43.7.1017.

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9

Schei, Tor Steinar. "ON-LINE ESTIMATION FOR PROCESS CONTROL AND OPTIMIZATION APPLICATIONS." IFAC Proceedings Volumes 40, no. 5 (2007): 19–28. http://dx.doi.org/10.3182/20070606-3-mx-2915.00053.

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10

Wang, Min-Chiang, and Jinfeng Yue. "Economic design of process adjustment for on-line control." International Journal of Production Research 39, no. 5 (January 2001): 809–23. http://dx.doi.org/10.1080/00207540010009697.

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11

Schweitz, Leif, Magnus Fransson, Lars Karlsson, Arne Torstensson, and Erik Johansson. "On-Line Process Control of Gradient Elution Liquid Chromatography." Analytical Chemistry 76, no. 16 (August 2004): 4875–80. http://dx.doi.org/10.1021/ac0497050.

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12

Schei, Tor Steinar. "On-line estimation for process control and optimization applications." Journal of Process Control 18, no. 9 (October 2008): 821–28. http://dx.doi.org/10.1016/j.jprocont.2008.06.014.

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13

de Silva, Viraj, and Tao Fu. "On-Line Nitrate/Nitrite Probes for BNR Process Control." Proceedings of the Water Environment Federation 2006, no. 6 (January 1, 2006): 5927–34. http://dx.doi.org/10.2175/193864706783775568.

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14

Guh, Ruey-Shiang. "Integrating artificial intelligence into on-line statistical process control." Quality and Reliability Engineering International 19, no. 1 (January 2003): 1–20. http://dx.doi.org/10.1002/qre.510.

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15

Velasco, Juan R. "Genetic-based on-line learning for fuzzy process control." International Journal of Intelligent Systems 13, no. 10-11 (October 1998): 891–903. http://dx.doi.org/10.1002/(sici)1098-111x(199810/11)13:10/11<891::aid-int2>3.0.co;2-u.

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16

Liu, Ming C. "Using spreadsheet to teach on-line statistical process control." Computers & Industrial Engineering 17, no. 1-4 (January 1989): 191–95. http://dx.doi.org/10.1016/0360-8352(89)90060-0.

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17

Vester, M. T. "On-Line Process Monitoring, Control and Supervision for an Industrial Polymerization Process." IFAC Proceedings Volumes 25, no. 4 (April 1992): 275–79. http://dx.doi.org/10.1016/s1474-6670(17)50254-2.

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18

Hong-Seok Bae. "Performance Evaluation of VSI Attribute Control Chart for On-line Process Control." Productivity Review 27, no. 4 (December 2013): 151–85. http://dx.doi.org/10.15843/kpapr.27.4.201312.151.

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19

Hulley, B. J., and A. Challoner. "The Selection of On-Line Process Analysers." Measurement and Control 20, no. 2 (March 1987): 9–18. http://dx.doi.org/10.1177/002029408702000202.

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20

Meredith, W. D. "The Engineering of On-Line Process Analysers." Measurement and Control 20, no. 2 (March 1987): 27–30. http://dx.doi.org/10.1177/002029408702000204.

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The design of process analysers involves multi-disciplinary overall involvement, therefore this paper can only highlight the difficulties associated with this work and relate these to the engineering tasks. The requirements, problem areas and user specifications are discussed, and also other areas are considered where design can play a vital role in reducing costs and improving the acceptability of the analyser in the market place.

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21

Ciappelloni, F., D. Mazouni, J. Harmand, and L. Lardon. "On-line supervision and control of an aerobic SBR process." Water Science and Technology 53, no. 1 (January 1, 2006): 169–77. http://dx.doi.org/10.2166/wst.2006.019.

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This paper presents a new software developed in MATLAB for analyzing on-line data of an aerobic SBR, detecting faults and, in this case, proposing the most probable causes of fault. Process diagnosis is achieved using a statistical method divided in two main phases: off-line model building and on-line data diagnosis. The off-line model identifies the correct working conditions of the system (standard operative conditions). It includes the characterization of the deviation of the system from these standard conditions in the case of changing in the biomass properties or carbon and nitrogen load characteristics. The on-line diagnosis aims at collecting and analyzing all the available data available through industrial sensors, and at classifying the behavior of each treatment cycle. The diagnosis performance of the proposed method is tested using a data set of an aerobic SBR pilot plant.

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22

TERASHIMA, Kazuhiko, Hiroyuki NOMURA, Takeo BANNO, and Sadao NOMURA. "On-Line Control of Particle Cooling Process by Fluidised Bed." Transactions of the Society of Instrument and Control Engineers 24, no. 7 (1988): 730–37. http://dx.doi.org/10.9746/sicetr1965.24.730.

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23

Iranpour, R., S. Oh, M. Zermeno, D. Patel, K. Flaig, D. Bianchi, C. Paxton, Y. J. Shao, L. Miller, and D. Coppenkastop. "ON-LINE MONITORING FOR PROCESS FEEDBACK CONTROL IN WASTEWATER PLANTS." Proceedings of the Water Environment Federation 2000, no. 10 (January 1, 2000): 711–25. http://dx.doi.org/10.2175/193864700784545450.

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24

Landes, K. D. "DIAGNOSTICS AND ON-LINE-CONTROL OF A PLASMA SPRAYING PROCESS." High Temperature Material Processes (An International Quarterly of High-Technology Plasma Processes) 1, no. 3 (1997): 315–26. http://dx.doi.org/10.1615/hightempmatproc.v1.i3.30.

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25

Coudert, J. F., Michel Vardelle, and Pierre Fauchais. "DIAGNOSTICS OF PLASMA SPRAY PROCESS AND DERIVED ON-LINE CONTROL." High Temperature Material Processes (An International Quarterly of High-Technology Plasma Processes) 6, no. 2 (2002): 19. http://dx.doi.org/10.1615/hightempmatproc.v6.i2.110.

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26

Tatjewski, Piotr. "ADVANCED CONTROL AND ON-LINE PROCESS OPTIMIZATION IN MULTILAYER STRUCTURES." IFAC Proceedings Volumes 40, no. 9 (2007): 13–26. http://dx.doi.org/10.3182/20070723-3-pl-2917.00004.

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27

Wieland, Flurin, Alexia N. Gloess, Marco Keller, Andreas Wetzel, Stefan Schenker, and Chahan Yeretzian. "On-Line Process Control of the Roast Degree of Coffee." CHIMIA International Journal for Chemistry 66, no. 6 (June 27, 2012): 443. http://dx.doi.org/10.2533/chimia.2012.443.

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28

PHAM, D. T., and E. OZTEMEL. "XPC: an on-line expert system for statistical process control." International Journal of Production Research 30, no. 12 (December 1992): 2857–72. http://dx.doi.org/10.1080/00207549208948195.

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29

Sungdo Ha and E. Sachs. "On-line control of process uniformity in single wafer processes." IEEE Transactions on Semiconductor Manufacturing 12, no. 2 (May 1999): 200–213. http://dx.doi.org/10.1109/66.762879.

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30

Montgomery, P. A., D. Williams, and B. H. Swanick. "Control of Fermentation Process by An On-Line Adaptive Technique." IFAC Proceedings Volumes 18, no. 17 (December 1985): 111–19. http://dx.doi.org/10.1016/s1474-6670(17)59902-4.

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31

van Wijk, R. A., and M. R. Pope. "Advanced process control and on-line optimisation in shell refineries." Computers & Chemical Engineering 16 (May 1992): S69—S80. http://dx.doi.org/10.1016/s0098-1354(09)80010-0.

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32

Chou, Shihyu, and Min-Chiang Wang. "Simulated annealing procedure for on-line control with process dynamics." International Journal of Systems Science 38, no. 8 (August 2007): 677–88. http://dx.doi.org/10.1080/00207720701500476.

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33

Sozer, E. M., S. Bickerton, and S. G. Advani. "On-line strategic control of liquid composite mould filling process." Composites Part A: Applied Science and Manufacturing 31, no. 12 (December 2000): 1383–94. http://dx.doi.org/10.1016/s1359-835x(00)00060-9.

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34

Rajaram, Kumar, and Ramchandran Jaikumar. "An interactive decision support system for on-line process control." European Journal of Operational Research 138, no. 3 (May 2002): 554–68. http://dx.doi.org/10.1016/s0377-2217(01)00136-9.

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35

Chou, Shihyu, and Min-Chiang Wang. "Setting Policy for On-Line Process Control with Dynamic Characteristics." Communications in Statistics - Simulation and Computation 36, no. 1 (January 30, 2007): 217–32. http://dx.doi.org/10.1080/03610910601096494.

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36

Tatjewski, Piotr. "Advanced control and on-line process optimization in multilayer structures." Annual Reviews in Control 32, no. 1 (April 2008): 71–85. http://dx.doi.org/10.1016/j.arcontrol.2008.03.003.

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37

Kanta, A. F., G. Montavon, M. P. Planche, and C. Coddet. "Plasma Spray Process On-Line Control by Artificial Intelligence Methodology." Advanced Engineering Materials 9, no. 1-2 (February 2007): 105–13. http://dx.doi.org/10.1002/adem.200600215.

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38

Selman, J. D. "Process monitoring and control on-line in the food industry." Food Control 1, no. 1 (January 1990): 36–39. http://dx.doi.org/10.1016/0956-7135(90)90119-w.

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39

Walton, H., and J. M. Hale. "On-line measurement of oxide fuel pellets for process control." Journal of Nuclear Materials 178, no. 2-3 (February 1991): 245–48. http://dx.doi.org/10.1016/0022-3115(91)90392-k.

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40

Yan, Guang Cai, and Zhao Xia Ma. "Investigation on Line-Shape Control Technology." Applied Mechanics and Materials 166-169 (May 2012): 956–59. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.956.

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The simulation analysis of the cantilever construction process was carried out with the structure analysis software. This paper provides an overview of the geometric control and the overall computation according to actual criterion, taking into account the effect of temperature, concrete shrinkage and creep, pre-stressed tension and so on. The elevation monitoring was carried out by comparing the calculated values with testing data. The analysis and control of the line shape are good to perfect the construction control technology of the closure section, enhance the closure quality and ensure the smooth of entire line shape and the rationality of the main beam internal force.

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41

Babary, J. P. "On-line estimation and adaptive control of bioreactors—Process measurement and control 1." Automatica 29, no. 3 (May 1993): 797–98. http://dx.doi.org/10.1016/0005-1098(93)90078-8.

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42

HONG, Junhee, Kazuhiko KAWAKAMI, Ryosyu FURUTANI, Kiyoshi TAKAMASU, and Shigeo OZONO. "An On-line Process Control Based on Geometrical Parameters from Measured Data in Machining Process." Journal of the Japan Society for Precision Engineering 61, no. 12 (1995): 1710–14. http://dx.doi.org/10.2493/jjspe.61.1710.

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43

Sun Chengfeng, 孙承峰, 石世宏 Shi Shihong, 傅戈雁 Fu Geyan, 郭开波 Guo Kaibo, and 王明娣 Wang Mingdi. "On-Line Monitoring and Control Based on CCD Laser Cladding Forming Process." Applied laser 33, no. 1 (2013): 68–71. http://dx.doi.org/10.3788/al20133301.0068.

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44

Sun Chengfeng, 孙承峰, 石世宏 Shi Shihong, 傅戈雁 Fu Geyan, 郭开波 Guo Kaibo, and 王明娣 Wang Mingdi. "On-Line Monitoring and Control Based on CCD Laser Cladding Forming Process." APPLIED LASER 33, no. 1 (2013): 68–71. http://dx.doi.org/10.3788/al20133301.068.

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45

Wang, Heng. "Overload Control Strategy Based on Triangular Fuzzy Analytic Hierarchy Process." E3S Web of Conferences 256 (2021): 02019. http://dx.doi.org/10.1051/e3sconf/202125602019.

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After the high-voltage transmission line is cut off due to a fault, the bearing transmission power will be transferred, which may cause overload. If overload cannot be eliminated quickly and scientifically, it is very likely that the line backup protection will be activated, which will trigger chain trip or even blackout accidents. In view of this, this paper proposed a cross-voltage level optimization load shedding control strategy based on fuzzy analytic hierarchy process. Through step-by-step progression in the three indexes of line overload degree, load importance degree, and unit load shedding cost, the lower-level lines of the overload line are selected for optimal line removal, thus achieving the goal of optimizing load shedding across voltage levels.

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46

Bunge, H. J., H. J. Kopineck, and F. Wagner. "On-line Texture Analysis for Magnetic Property Control." Textures and Microstructures 11, no. 2-4 (January 1, 1989): 261–67. http://dx.doi.org/10.1155/tsm.11.261.

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Magnetic properties of hard and soft magnetic materials are strongly anisotropic, i.e. they depend on the crystal direction in which they are being considered. Technological materials are usually polycrystalline. Hence, their properties are orientation mean values of the properties of the crystallites with the texture of the material as the weight function. Inspection and control of magnetic properties of materials thus requires inspection and control of the materials texture which can be carried out off-line by taking samples from the finished material and investigating them in the laboratory. If, however, the texture of the material is to be controlled during the production process then a fast non-destructive on-line texture analyser is required the output signal of which can be used to control the production process.

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47

Nam, Sung Woo, Nam Jin Myung, and Kwang Soon Lee. "On-line integrated control system for an industrial activated sludge process." Water Environment Research 68, no. 1 (January 1996): 70–75. http://dx.doi.org/10.2175/106143096x127226.

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48

Domnick, Joachim, J. Raimann, G. Wolf, Alain Berlemont, and M. S. Cabot. "On-Line Process Control in Melt Spraying Using Phase-Doppler Anemometry." International Journal of Fluid Mechanics Research 24, no. 4-6 (1997): 694–706. http://dx.doi.org/10.1615/interjfluidmechres.v24.i4-6.250.

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49

Foster, Howard M., and Simon R. Meadowcroft. "The Application of On-Line Expert Systems to Supervisory Process Control." Measurement and Control 21, no. 6 (July 1988): 169–71. http://dx.doi.org/10.1177/002029408802100602.

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The use of computers in the process industry is set to increase. However, the implementation of conventional computer technology is not adequate for executing the complex supervisory tasks. This paper speculates upon the use of on-line expert systems which have been developed for working in non-linear, non-algorithmic problem domains. Expert systems for supervisory control are explored, and the potential benefits for optimisation and improved accuracy of control are outlined. The complexity and multi-tasking nature of real-time supervisory control points to an expert system structure which is distributed. A modular expert system design is proposed and the potential benefits for the approach are evaluated.

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50

Chou, Shihyu, and Min-Chiang Wang. "Taguchi's method and an empirical procedure for on-line process control." Communications in Statistics - Simulation and Computation 25, no. 2 (January 1996): 301–20. http://dx.doi.org/10.1080/03610919608813315.

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