THE MODEL OF FIVE STATES AND ITS IMPLEMENTATIONS TO RELIABILITY AND STEAM TURBINES

摘要

This paper shows the model of five possible states of components of steam turbines in thermal power plants and heating plants. The introduced model represents an upgrade of Marcovian model of four states, because a new (fifth) state is introduced - the diagnosis state. This model can be applied directly to determine optimal intervals of maintenance, and to use standard data and engineering experience. Using this model, one can determine the probabilites of state of work regime in observed moment, applying the Markovian modeling - Markovian chains, i.e. the transition rate from one state to another. Calculation of probabilities of five possible states determines reliability and risk of work of the five possible states. The paper also offers the implementation of the stationary model of states on the observed steam turbines.