The Research Of Mine Main Transformer Operation Condition Based On Rough-cloud Model

Mine main transformer is the most important equipment in the power system of whole coal mining enterprise, it can redistribute the current and voltage, and then meet the need for normal production and workers' power consumption of the whole coal mining enterprises. Once main transformer malfunctions, which will cause significant threat to the economic and employee safety of enterprise. Therefore, it is very necessary to evaluate the real-time online operation state, which can early find out hidden trouble and insure the safe running of coal mining enterprises.First, through analying the various states information of transformer, so summarize the reasons, types and maintenance method of power transformer fault. On the principle of an accurate description transformer to built the transformer state evaluation index system. Second, through contrasting the transformers condition assessment methods and models in recent years, the rough - cloud evaluation model based on cloud theory and rough sets theory is established. The model includes three modules: the discretization of numeric attribute make the index weight be more accurate. Cloud conceptualization module make the real collecting data Cloud conceptualization, which can get the single index and comprehensive index cloud model of transformer(through considering the index weight factor to computer, the comprehensive index of transformer are more objective and precise). The main task of cloud decision-making module is to confirm the qualitative practical language by max memberships selector. Finally, use rough-cloud model to evaluate status information of mine transformer, through contrasting the final assessment results and original records state results, verify the validity and accuracy of rough-cloud model.The rough-cloud model make the process which the fusion of the quantitative and qualitative in the status evaluation of transformer be more precise, which is more practicability and generalization, make the simulation results be more close to the actual status. The rough - cloud model provides a good theoretical basis to grasp the main transformer state timely, which has great significance for guiding transformer maintenance.