Control Systems and Computers, N4, 2020, Article 3

Control Systems and Computers, 2020, Issue 4 (288), pp. 

UDC 004.9; 621.74

Tokova Olena V., junior research scientist, Department for Technologies of Inductive Modelling, International Research and Training Center for Information Technologies and Systems of the NAS and MES of Ukraine, Glushkov ave., 40, Kyiv, 03187, Ukraine,

Application of the adaptive filtration method for foundry monitoring tasks

Conducted a look around to filter the input noisy signal. The method of high-frequency filtering of the cooling curves of the melting behind the extremums of the old. The method of adaptive smoothing of signals is stuck, which is based on the vicarious points of the extremum for expanding the possibilities of the method of frequency-clock filtering. The whole method was tested on numerical experiments, which brought its effectiveness.

 Download full text! (On English)

Keywords: filtration, casting, cooling curve, approximation, recognition, reference.

[1]     Use of thermal analysis to control the process of producing high-durability cast iron.

[2]     I.V. Surovtsev, S.K. Galimov, and O.E. Tatarinov, “Information technology for determining the concentration of toxic elements in environmental objects,” Cybernetics and computing engineering, 2018, vol. 191, no. 1, pp. 5-31. (in Ukrainian)

[3]     E. Zakharchenko, E. Sirenko, A. Goncharov, A. Bogdan, A. Burbelko, and K. Magdalena, “New Computer Method of Derivative Thermal Express Analysis of Cast Iron for Operational Prediction of the Quality of Melts and Castings”, Journal of Casting & Materials Engineering, 2019, vol. 3, no. 2, pp. 31–42.

[4]     C. Tomasi, and R. Manduchi. “Bilateral filtering for gray and color  images”. In Proc. of ICCV, 1998, pp. 839-846.

[5]     A. Economou, and P.R. Fielden, “Digital Filtering in stripping analysis,” Anal. Chem. Acta, 1995, 305, 165, pp. 165.

[6]     P.A. Lynn, An introduction to the analysis and processing of signals, London: MacMillan, 1982, Chap. 9.

[7]     C.W.K. Chow, D.E. Davey, D.E. Mulcahy, T.C.W. Yeow, “Comparison of detector systems in oxidative stripping potentiometry,”  Anal. Chem. Acta, 1995, 307, pp. 15.

[8]     X.Y. Zou, and X.Y. Mo. “Progress of Chemometrics in Laser-induced Breakdown Spectroscopy Analysis,” Anal. Chem. Acta, 1997, vol. 43, no. 6, pp. 939-948.

[9]     S.D. Thomas, C.W.K.  Chow, D.E. Dave, D.E. Mulcahy, M. Drikas, “Determination Of Aluminium In Water By Adsorptive Cathodic Stripping Voltammetry With 1,2-Dihydroxyanthraquinone-3-Sulfonic Acid On A Thin Film Mercury Electrode,” Proc. of the Australian Int. Symp. of Anal. Sc., Melbourne, 1999, vol. 18, no. 22, pp. 2257-2262.

[10]   A. Economou, and P.R. Fielden, “Wiener filtering of electro- analytical data by means of fast Fourier transform,” Anal. Chim. Acta, vol. 319, no. 1–2, 30 January 1996, pp. 3-12.

[11]   A. Economou, P.R Fielden, “Data Smoothing in Stripping Voltammetry by Simplex Function Fitting,” J. Anal. Lett. 1997, vol. 30, no. 14, pp. 2595-2610.

[12]   N.M. Astafyeva, “Wavelet analysis: basics of theory and examples,” Advances in Physics, 1996, vol. 166, pp. 1145. (in Russian)

[13]   K. Jetter, U. Depczynski, K. Molt, and A. Niemoller, “Principles and applications of wavelet transformation to chemometrics,” Anal. Chem. Acta. 2000, 420, pp. 169-180.

[14]   I.V. Surovtsev, “The method of adaptive smoothing of electrochemical signals in chronopotentiometry,” Control sistems and computers,  2015, no. 5, pp. 79–83. (in Russian)

[15]   Ye. Savchenko, V. Stepashko, and O. Tokova,“A New Method of Comparing Cooling Curves to Recognize the Casting Quality,” Proc. of the 13th IEEE International Conference CSIT-2018 & International Workshop on Inductive Modeling, September 11-14, 2018, Lviv, Ukraine. Lviv: Publisher “Vezha&Co”, 2018, pp. 457-460.

 Received  20.08.2020