PROBABILISTIC METHOD OF ACCEPTANCE CONTROL OF THE FIFTH-LEVEL AUTOMATIC DRIVING SYSTEM UNDER NONHOMOGENEOUS OPERATING CONDITIONS
DOI:
https://doi.org/10.18372/1990-5548.65.14983Keywords:
Acceptance control, nonhomogeneous samples, autopilot system of the fifth-level car, minimization of test volumesAbstract
The problem of acceptance control of a fifth-level automatic driving system is investigated when using nonhomogeneous samples and allowing one failure in the total sample. It is shown that by using different operating and test conditions, subdivided into normal and complex conditions, the required test volume of testing at one failure accepting in the overall nonhomogeneous sample can be determined based on the Bernoulli’s binomial test (that was introduced to the test under similar conditions, when using a nonhomogeneous sample). There is no need to determine the probability of condition occurrences, values of the partial success probabilities; and their hypotheses are not tested. The paper proves that the Bernoulli’s binomial test scheme use allows minimizing the required total volume of testing under nonhomogeneous operating conditions, providing the required level of reliability about the decisions made.
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