Method for overcoming the heteroscedasticity of statistical values of indicators when assessing the quality of IETMs with elements of artificial intelligence

Abstract

In the last decade, mobile interactive electronic technical manuals - IETM - have become a modern means of competence support for personnel operating aircraft. The system of technical regulation distinguishes several classes of IETM according to the degree of their functional equipment. The highest classes of functional development of IETM presuppose their deep integration into on-board automation systems, the possibility of direct interface interaction with electronic diagnostic modules for accompanying products and wide integration of artificial intelligence tools. In turn, the inclusion of elements of artificial intelligence leads to a change in statistical approaches and principles for assessing the quality of the IETM themselves. This is due to the fact of continuous change in the consumer properties of IETM in the process of their use, the observed heteroscedasticity of the recorded values of indicators when assessing their quality. This article is devoted to the description of the methodology that allows to overcome the described specifics of the procedures for assessing the quality of IETM with elements of artificial intelligence.