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Representation of probabilistic technique for evaluation of thermal power   system reliability is the main subject of this paper. The system of thermal   power plant under study consists of three subsystems and the reliability   assessment is based on a sixteen-year failure database. By applying the   mathematical theory of reliability to exploitation research data and using   complex two-parameter Weibull distribution, the theoretical reliability   functions of specified system have been determined. Obtained probabilistic   laws of failure occurrence have confirmed a hypothesis that the distribution   of the observed random variable fully describes behaviour of such a system in   terms of reliability. Shown results make possible to acquire a better   knowledge of current state of the system, as well as a more accurate   estimation of its behavior during future exploitation. Final benefit is   opportunity for potential improvement of complex system maintenance policies   aimed at the reduction of unexpected failure occurrences

Determining the reliability function of the thermal power system in power plant "Nikola Tesla, Block B1"