Обзор статьи

The paper considers the problems associated with the development of data analysis algorithms to enable adaptive maintenance systems. In particular, the research is described which was carried out to develop a methodology for the identification of driving conditions as one of the main factors influencing the service interval value. It is proposed to identify driving conditions by the value of the coefficient of speed variation by analyzing the rank correlation between the experimentally obtained values of the coefficient of speed variation for different driving conditions and the indices of operating conditions categories defined for them. It is also shown that the application of the speed variation coefficient allows taking into account driving styles. Steps for practical application of the developed methodology are formulated.