Ural State Mining University (Russia):

Kozin V. Z., Doctor of Engineering Sciences, Professor, Head of Chair, gmf.dek@ursmu.ru

Komlev A. S., Ural State Mining University (Russia), Ph. D. in Engineering Sciences, Engineer, tails2002@inbox.ru

The purpose of the work is to solve the problem of either taking into consideration or rejecting results of analysis of so-termed outstanding samples. Outstanding samples are samples with results of analysis significantly different from the most other samples. Results of analysis of outstanding samples are usually excluded from calculations. It is proved, that exclusion is applicable only with respect to short control periods (shift, day) and in not applicable for long periods (ten-day period, month). With large volume of data, inclusion of results of analysis of outstanding samples into calculations is necessary. If samples are taken in equal periods of time, revealed outstanding samples compensate downward bias of fraction of total mass on account of missed samples. The shorter period of time between spot samples, the shorter control period, in which results of analysis of outstanding samples must be excluded. The actual results of gold recovery plant tailings sampling are presented. It is shown, that five outstanding samples were revealed at the plant during a month, that considerably mispresented average values of gold fraction of total mass on a shift basis, but permitted to obtain correct values of gold fraction of total mass in tailings over a month’s period. Durations of sharply increased values of gold fraction of total mass were determined, and it was shown that there were twenty-five sharp increases in values of gold fraction of total mass in tailings over a month’s period at the plant.It is noted, that the problem of taking into consideration results of analysis of outstanding samples is completely eliminated when sampling stations provide for short time intervals between taking of spot samples.

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