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| A normalization analysis method for monitoring signals based on multi-dimensional feature points |
| DOI：10.19783/j.cnki.pspc.181213 |
| Key Words:monitoring signal inference engine multidimensional feature points first and secondary equipment set cross identification |
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| Abstract:Starting from the standard signals required for effective monitoring of all types of equipment, this paper studies a method of standardized analysis of monitoring information points. Through the analysis of monitoring information table, and cross recognition of relevant information, it can extract the voltage level and wiring mode of substation, and the first and secondary equipments contained in each voltage level. Using standard signal to generate inference engine intelligently, the standard information table of substation can be generated. Intelligent matching analysis of monitoring signals can extract problem sets with missing or irregular signals from information point tables. Experiment shows that the normalization analysis method for monitoring signals solves the problem of heavy workload and non standardized audit results in monitoring information points, providing a unified and standardized platform for substation equipment monitoring. This work is supported by National Key Research and Development Program of China (No. 2015CB759600). |
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