The method of diagnostics and estimation of a residual resource of the electromechanical equipment, based on the analysis of electric parameters is offered. Block diagram’s of a diagnostic complex and the data processing program are presented. The way of application of artificial neural networks for data processing of diagnostics and an estimation of a residual resource is considered, and also levels of influence of damages on working capacity of the equipment are resulted.
The review of existing methods of technical diagnostics of an industrial electric equipment is submitted, expressions for definition of the basic diagnostic parameters are resulted at diagnostics of a condition of the equipment on electric parameters.
The method of monitoring and estimation of a residual resource of the electric equipment, based on the analysis of spectrograms of consumed electric capacity is offered. The function chart of the information-diagnostic complex realizing the given method is submitted.
The article deals with the methodology of improving the reliability of power supply systems in conditions of geographically dispersed loads. The relevance of this issue is explained by the significant damage to mining enterprises due to power supply failures. The proposed methodology is based on the determination of the optimal number of electrical substations at mining enterprises and the connection of collector bus bars of different substations with the help of automatic operation of the reserve. The optimum number of electrical substations is determined using the method of potential functions. This method allows dividing consumers into groups and determining the center of electrical load in each group. Connection of different collector buses of substations increases the reliability of the power supply system of the enterprise as a whole. Calculation of reliability parameters for two variants of the power supply system, as well as their comparative analysis is carried out.
Modern problems of designing power supply systems are considered. The method of constructing load maps using the method of potential functions and the method of determining the most profitable number of power substations using the target function are shown. The results of constructing the load chart with the use of software package MathCAD 2001 are presented. The optimal number of electric power substations is determined by the given target function of expenses. The method of choosing the variant with the optimal number of electric power substations and constructing two-dimensional image of potential function of receivers loads for this variant. Recommendations on the selection of optimal locations of electrical substations and the optimal allocation of electric consumers to individual electrical substations are given. The necessity of using modern software in the design of power supply systems was substantiated.
