Forecasting and providing reliability in means of measurement on the basis of explicit and latent failures

Translated from Izmeritel'naya Tekhnika, No. 6, pp. 3–4, June, 1990.     

Effects of error variation in means of measurement on reliability parameters in engineering-system monitoring

A method is given for calculating the monitoring reliability parameters (MRP) for an engineering system with allowance for the drift in the measurement error of the means of measurement (MM). The approach is based on introducing a biased MM error distribution into the traditional formulas for the conditional probabilities of spurious and unobserved failure. The bias at the center of the distribution is determined by the systematic error at the given instant. An example is given to illustrate the performance in MRP calculation.Translated from Izmeritel'naya Tekhnika, No. 1, pp. 12–13, January, 1994.     

Increasing the reliability of microprocessor-based measurement instruments

We consider construction of error-correcting codes to increase the probability of correction of single errors and detection of a maximum number of uncorrectable errors. Translated from Izmeritel'naya Tekhnika, No. 4, pp. 16–19, April, 1999.