Improving diagnostic models for forecasting the behavior of dams equipped with automated monitoring systems
Journal: The scientific electronic library of periodicals of the National Academy of Sciences of Ukraine (National Academy of Sciences of Ukraine)
Year: 2017

An approach to forecasting the behaviour of dams according to the data of instrumental observations with regard to capabilities of automated monitoring systems has been proposed. The approach is based on the use of situational and inductive models, where the situational models correspond to selective series of dynamics of observed data within limited time intervals and the inductive models which are constructed on model data derived from situational models simulate evolutions of diagnostic param