Analysis of VVER-1000 main circulation pump condition in operation

Leskin, Sergei Terent’evich; Slobodchuk, Victor Ivanovich; Shelegov, Aleksandr Sergeevich

doi:10.1016/j.nucet.2017.03.002

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…Additional diagnostic indicators and methods for their identification allowing more reliably determining presence of leakages in the case of small coolant leakage flow rates are examined in the present paper. Pattern identification theory (Abagyan et al 1987, Tu and Gonsales 1978, Fukunaga 1972, Classification and clustering (1980, Tao Gu and Tou 1982) successfully applied in different studies on the diagnostics of NRI equipment (Leskin et al 2016, Leskin et al 2017, Ujita Hiroshi 1986, Fault diagnosis in dynamic systems 1989, Willsky 1976, Iserman 1984, Frank 1990, Reisen and Marshall 1988, Abagyan et al 1987, Herbert 1984, Pavelko 1990, Urig Robert 1991, Leskin 1997 constitutes the basis for formation of additional diagnostic indicators.…”

Section: Introductionmentioning

confidence: 99%

Analysis of acoustic leak signals for enhancing sensitivity of control due to the creation of effective diagnostic indicators

Leskin¹,

Shvetsov²,

Trykov³

et al. 2018

NUCET

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Acoustic leak control systems (for instance, SAKT) are used at present for controlling leak tightness of equipment and pipelines, as well as for detecting in timely manner coolant leaks from the primary cooling circuit of nuclear reactor installations (NRI) during operation of power unit on different power levels in the modes of normal operation and during disturbances of normal operation. Time averaged dispersion of acoustic signal is used as the main diagnostic indicator for detecting leaks in these systems. Sensitivity of this indicator is determined by the exceedance by the signal of the preset threshold value which is defined in accordance with the background. Here, background values of acoustic signal depend on the operational modes of the equipment and do not allow in many cases determining coolant leak during early stages of leak development. New approach to the formation of diagnostic indicators for detecting loss of sealing in the circuit during early stage of development of coolant leak is suggested. Methodology for obtaining diagnostic indicators is based on the processing in different frequency bands of acoustic signal accompanying coolant leakage from the pipeline using the method of principal components. Efficiency of the developed methodology of coolant leak detection is illustrated by processing acoustic signals for experimental facility modeling coolant leakage in case of loss of sealing of the circuit. Even in the presence of significant acoustic background sensitivity of the method allows detecting leaks with significantly lower flow rates (up to five times smaller) than the conventional processing of acoustic signals. Implementation of the developed methodology will not require significant expenditures for upgrading already existing leak control systems operated at present on different NPPs.

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