Abstract
Abstract
Problem of efficient and safe operation of complex technical systems is always one of the most important in its life cycle. Analysis of the failures and emergencies statistics shows a trend in the growth of the human factor and a decrease of failures for technical reasons. Unfortunately, it is not possible to completely exclude human from the control system due to adherence to safety standards and industry requirements. However, issues of evaluating the professional suitability of personnel operating complex equipment, as well as issues of organizing and planning the training process, are becoming relevant. Based on a comparison of the statistical model of Georg Rasch, used to assess the preparedness of students and the degree of complexity of control tasks, with the dynamic universal model of reliability growth in the development process, used in various practical applications, a methodology for the analysis and planning of training effectiveness is developed. The algorithm of operation and application of the described methodology is illustrated by a number of examples. The dynamic modification of the presented Rasch’s statistical model allows predicting the degree of preparedness of homogeneous groups of students, thereby making it possible to plan the number of personnel training cycles for admission to work with complex and potentially dangerous technical systems.