This book presents a methodology for forecasting events and phenomena occurring in technology and natural environments. The methodology is based on forecasting the individual state of the control object, which is carried out based on the analysis of the trend behavior of the controlled parameter (symptom of the disease). The methodology helps determining the time of the onset of a destructive earthquake, its strength and the coordinates of the epicentre, predicting the time of the descent of glaciers and landslides long before the event. In medicine, the methodology predicts the severity of a disease and forecast of its aggravation.

A catastrophic phenomenon should not be considered a sudden and causeless event, but as a process whose characteristics are continuously changing throughout the entire previous period. This process manifests itself in the form of a trajectory of changes in time of the controlled parameter. This trajectory contains the information necessary for making decisions, both about the current degree of criticality of the system’s state and about the moment it reaches its limit state.

This monograph discusses the method of searching for such a moment for a controlled system. The methodology consists of two complementary and therefore mutually validating forecasting methods. The first method analyzes the trend of a time series compiled from the results of monitoring the behavior of a controlled object, and the second method analyzes the periodic component, which together with the trend forms the original time series.

The monograph considers the following processes as such processes:

This book presents a methodology for forecasting events and phenomena occurring in technology and natural environments. The methodology is based on forecasting the individual state of the control object, which is carried out based on the analysis of the trend behavior of the controlled parameter (symptom of the disease). The methodology helps determining the time of the onset of a destructive earthquake, its strength and the coordinates of the epicentre, predicting the time of the descent of glaciers and landslides long before the event. In medicine, the methodology predicts the severity of a disease and forecast of its aggravation.

A catastrophic phenomenon should not be considered a sudden and causeless event, but as a process whose characteristics are continuously changing throughout the entire previous period. This process manifests itself in the form of a trajectory of changes in time of the controlled parameter. This trajectory contains the information necessary for making decisions, both about the current degree of criticality of the system’s state and about the moment it reaches its limit state.

This monograph discusses the method of searching for such a moment for a controlled system. The methodology consists of two complementary and therefore mutually validating forecasting methods. The first method analyzes the trend of a time series compiled from the results of monitoring the behavior of a controlled object, and the second method analyzes the periodic component, which together with the trend forms the original time series.

The monograph considers the following processes as such processes: