Raising the precision of measuring and computing aggregates

Conclusions

• 1. The SDC and functional-unit metrological characteristics play, according to the error accumulation law, a preponderant part in the multi-unit measuring and computing aggregates [2].

• 2. If measuring and computing aggregates incorporate SDCs, the concept of their precision and the trustworthiness of their computations become identical, whereas the degree of the trustworthiness of their computations assumes the direct significance of random errors.

• 3. In order to raise the precision of the SDCs incorporated in the measuring and computing aggregates which operate in systems for investigating, testing, or controlling automatically transient single and unrepeatable processes [1, 2] or in systems for the remote testing of measures [1, 3], it is only possible to use trustworthiness-improving methods which are suitable for providing automatic self-compensation in synchronism with the computation process.

• 4. The most effective synchronous automatic self-compensation methods consist of error-correcting arithmetic codes [5, 6] and, in particular, in dealing with coded numbers of the order of 10⁸, which are the most characteristic for modern measuring and computing aggregates, it is advisable to use AN codes, AN cyclic codes, or residual-class codes (in the absence of division).

• 5. The specific class of the required codes is established according to the analysis of the schematics of SDCs incorporated in the given measuring and computing aggregates.