|

Valid Signal Isolation Method for Loose Parts Monitoring System in the Main Circulation Circuit of WWER Reactor

Authors: Maksimov I.V., Pavelko V.I., Perevezentsev V.V., Trykov E.L. Published: 04.02.2018
Published in issue: #1(118)/2018  
DOI: 10.18698/0236-3933-2018-1-4-15

 
Category: Instrument Engineering, Metrology, Information-Measuring Instruments and Systems | Chapter: Instruments and Measuring Methods  
Keywords: WWER, diagnostic systems, loose parts monitoring system, digital signal processing

Loose, poorly fastened and foreign parts are likely to appear in the main circulation circuit of WWER reactors. These parts carried by the coolant flow can collide with the inner walls of the main circulation circuit components transferring energy to the reactor hardware. The shock causes acoustic anomaly in the materials the equipment and pipelines are made of (a burst of acoustic noise). In order to detect such phenomena, WWER reactors are equipped with loose, poorly fastened and foreign parts monitoring systems (LPMS) based on recording acoustic signals on the surface of reactor equipment. The availability of significant background noise in certain power unit operating modes results in the valid shock signal being fully masked. The paper focuses on valid signal isolation method based on spectral whitening and provides examples of applying it to the data recorded by LPMS of WWER reactor

References

[1] Freiberger W.F. An approximate method in signal detection. Quarterly Appl. Math., 1963, vol. 20, no. 4, pp. 373–378.

[2] Fang L.X., Lou Y.J., Ni Y.H., Chen Z.Y. Application study on wavelet-transformation to alarming in loose parts monitoring system. Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2004, vol. 38, pp. 432–435.

[3] Figedy S., Oksa G. Modern methods of signal processing in the loose part monitoring system. Progress in Nuclear Energy, 2005, vol. 46, iss. 3-4, pp. 253–267. DOI: 10.1016/j.pnucene.2005.03.008

[4] Szappanos G., Kiss J.J., Por G., Kiss J.M. Analysis of measurements made by HELPS loose part detection system during installation and operation periods. Progress in Nuclear Energy, 1999, vol. 34, iss. 3, pp. 185–193. DOI: 10.1016/S0149-1970(98)00004-3

[5] Por G., Kiss J., Sorosanszky I., Szappanos G. Development of a false alarm free, Advanced Loose Parts Monitoring System (ALPS). Progress in Nuclear Energy, 2003, vol. 43, iss. 14, pp. 243–251. DOI: 10.1016/S0149-1970(03)00034-9

[6] Mao H.L., Huang Z.F., Cheng Z.Y. Artificial neural network alarm method based on signal timefrequency characteristics. Nuclear Power Engineering, 1998, vol. 19, no. 3, pp. 256–269.

[7] Yang J., Yang B., Liu M., Cao Y. Detection method of loose parts in nuclear reactor based on eigenvector algorithm. Progress in Nuclear Energy, 2016, vol. 91, pp. 250–255. DOI: 10.1016/j.pnucene.2016.03.020

[8] Yang J.X., Zheng H.W., Cao Y.L., et al. Alarming method of loose parts in nuclear power plant based on adaptive autoregressive model. Yuanzineng Kexue/Atomic Energy Science and Technology, 2010, vol. 44, pp. 701–705.

[9] Cao Y., He Y., Zheng H., Yang J. An alarm method for a loose parts monitoring system. Shock and Vibration, 2012, vol. 19, iss. 4, pp. 753–761. DOI: 10.1155/2012/891085

[10] Yang B., Xia H., Zhang X.Y. Research on signal-noise separation in loose parts impact signal based on autonomous adaptive threshold wavelet packets. Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2014, vol. 48, pp. 2045–2050.

[11] Online monitoring for improving performance of nuclear power plants. Part 2: Process and component condition monitoring and diagnostics. Vienna, IAEA, 2008. 82 p.

[12] Statisticheskaya teoriya radiotekhnicheskikh system [Statistical theory of radiotechnical systems] (in Russ.). Available at: http://strts-online.narod.ru (accessed: 20.05.2017).