Modeling the Classification of Internet of Things Objects by Failures

The paper discusses the possibilities of modeling the classification of Internet of Things objects by failures. The problem under consideration is very important, due to the high prevalence of such objects. The approaches based on cluster and discriminant analysis are used. The illustration of a dendrogram of the distribution of Internet of things objects by classes based on a complex indicator is given. The illustration of failure rates by cluster groups is shown. The classification departments in the organization into classes of failure levels is carried out. The illustration of the probabilities of how a certain object of the internet of things will fall into the corresponding class with the involvement of discriminant classification functions is shown.