Журнал Российского общества по неразрушающему контролю и технической диагностике
The journal of the Russian society for non-destructive testing and technical diagnostic
 
| Русский Русский | English English |
 
Главная Archive
22 | 12 | 2024
2014, 08 August

DOI: 10.14489/td.2014.08.pp.075-079

 

Sedov A.V., Lipkin S.М., Lipkina М.S., Onyshko D.А.
ELECTROCHEMICAL EXPRESS-DIAGNOSTICS DEVICES FUNCTIONING AND DEVELOPING PRINCIPLES
(pp. 75-79)

Abstract. Functioning principles and basic structure of electrochemical express-diagnostics device are stated. Two-stage express-diagnostics algorithm is described and justifications of chosen dimension decrease transform (decomposing modelling method) and mass fraction calcu-lation (multilayer feed forward neural network) methods are given. Universalism of proposed express-diagnostics two-stage algorithm is shown on the examples of nickel, chromium, copper, carbon and manganese mass fraction identification.

Keywords: system of the non-destructive proximate analysis, metal alloys, chronopotentiometry, methods of dimension reduction of data, adaptive connectionist model, makeup of the mass concentration, generalization ability of model.

 

 A. V. Sedov, S. M. Lipkin, M. S. Lipkin, D. A. Onyshko
The Platov South Russia State Polytechnical University (NPI), Rostov-on-Don, Russia. E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

 

 

1. Lipkin M. S., Kucherenko S. V., Tarasova N. V. et al. (2009). Possibilities of identification of carbon phase components in ironcarbonic alloys by electrochemical proximate analysis methods. Kontrol'. Diagnostika, (8), pp. 12-15.
2. Lipkin M. S., Kucherenko S. V., Lipkina T. V. et al. (2008). Non-destructive electrochemical determination of carbon in structural steels. Kontrol'. Diagnostika, (5), pp. 56-58.
3. Sedov A. V., Lipkin M. S., Onyshko D. A., Lipkin S. M. (2009). Mathematical modeling and identification of processes of electrochemical polarization in the system of express-analysis of metal alloys. Izvestiia Samarskogo nauchnogo tsentra RAN, 11(5), pp. 428-432.
4. Sedov A. V. (2010). Modeling objects with discrete and distributed parameters: a decomposition approach. Moscow: Nauka.
5. Lipkin M. S., Lipkina T. V., Lipkin S. M. (2008). Electrochemical sensor for the device of local electrochemi-cal express-analysis. Utility patent No. 74713. Russian Fed-eration.
6. Frumkin A. N. (Ed.). (1975). Introduction to elec-trochemical kinetics. Moscow: Vysshaia shkola.
7. Uossermen F. (1992). Neurocomputer engineering: theory and practice. Moscow: Mir.
8. Fukunaga K. (1979). Introduction to statistical theory of pattern recognition. Moscow: Nauka.
9. Kaufman L., Rousseeuw P. J. (1990). Finding groups in data: An introduction to cluster analysis. New York: John Wiley & Sons, Inc.
10. Debok G., Kokhonen T. (2001). Analysis of finan-cial data by using self-organizing maps. Moscow: Al'pina Publisher.
11. Preparata F., Sheimos M. (1989). Computational geometry: an introduction. Moscow: Mir.
12. L'iung L. (1991). Identification systems. Theory for the user. Moscow: Nauka.
13. Terano T., Asai K., Sugeno M. (1993). Application fuzzy systems. Moscow: Mir.

 

 

This article  is available in electronic format (PDF).

The cost of a single article is 250 rubles. (including VAT 18%). After you place an order within a few days, you will receive following documents to your specified e-mail: account on payment and receipt to pay in the bank.

After depositing your payment on our bank account we send you file of the article by e-mail.

To order articles please fill out the form below:

Purchase digital version of a single article


Type the characters you see in the picture below



 

 

 

 

 

 

 
Search
Rambler's Top100 Яндекс цитирования