Intelligent Diagnostic Control and Management of the Condition of Electrotechnical Equipment

In this paper, we consider intelligent diagnostic systems providing effective control of electric equipment of electric network facilities. To maintain equipment operability, a level model is proposed. The model is distinct in integrating various methods of analyzing and processing dissimilar data of equipment operation in order to reliably assess its technical condition using nondestructive control technologies to determine the real need for maintenance and repair. The model is focused on intelligent support of the electrical personnel activities and involves calculating the integral priority indicator to assess the necessary maintenance activities and choose the most appropriate control actions. A method for diagnostic control during the electric equipment operation, which can be used for electric network facilities of various configurations, is developed. The technique involves the adaptation to equipment operating conditions for the timely identification of defects and reducing the duration of planned and unplanned downtime. The results of technique testing on the example of electrical equipment of oil production facilities are presented. The proposed solutions are considered to be a way to move on to a new generation of smart electric networks.