Data transformation method from monitoring systems of technical state of electric power production assets
Abstract
Data transformation method from monitoring systems of technical state of electric power production assets
Incoming article date: 05.06.2018At present, the state of the electric power industry is characterized by increased loads and a high level of wear and tear on equipment, which causes which causes increased attention to ensuring the reliability of the functioning of electric power facilities. In modern power systems an important role is assigned to sensors that monitor various parameters of the state of production assets. Improving the methods for mining, processing and analyzing data on the technical state of fixed assets is an actual task in conditions of transition to an actively-adaptive power grid (Smart GRID). The article analyzes the features of monitoring of electric power production assets. The structural diagram of electric power facilities was considered. Were highlighted selection methods controlled equipment parameters and determine their threshold values. For the processing and transformation received from the data monitoring systems, it is proposed to use an artificial neural network that will allow for the qualitative processing of the received information and to recognize the malfunctions in the operation of the sensors.
Keywords: electric power facility, Smart Grid, equipment monitoring, decision support system, neural network, data analysis