Scalar multifactor evaluation of diagnostic characteristics of ships power systems
The service and base fleet of the drilling platforms is significantly developing. The problem of ensuring stability of the vessels’ energy components and the platforms themselves is rather relevant. It is being studied by many scientists using a different group of models. A scalar multi-factor method is used in the paper to assess the reliable operation of the ship equipment of the auxiliary and base fleet of the drilling industry. One of the most powerful methods to meet the challenges of multi-criterion optimization (MCO) is based on "scalarization" of MCO original problem by means of formation on a set of private criteria <i>K</i> = {<i>k</i><sub>i</sub>(<i>x</i>)}, <i>i</i> = 1, …, <i>n</i>, of a generalized scalar evaluation of the solution quality, known in the decision-making theory as a utility function <i>Q</i>(<i>x</i>) = <i>F</i>[<i>k</i><sub>i</sub>(<i>x</i>), <i>A</i>], <i>i</i> = 1, …, <i>n</i>. The paper considers the possible approaches to solving the model synthesis problem. When fulfilling the set tasks, the methods of system analysis, theory of finite state machines, graph theory, theory of mass servicing, structure-parametric identification of the evaluation model have been used. Possible approaches to the solution of the problem of the model synthesis of multi-criteria scalar evaluation have been analyzed. It is shown that the method of comparative identification allows to solve the task of identifying more adequate and accurate models of evaluation of diagnostic characteristics of a ship's energy system.