The analysis of dissolved gas in oil can provide an important basis for transformer fault diagnosis.In order to improve the accuracy of transformer fault diagnosis,a method based on the relational teacher-student netw...The analysis of dissolved gas in oil can provide an important basis for transformer fault diagnosis.In order to improve the accuracy of transformer fault diagnosis,a method based on the relational teacher-student network(R-TSN)is proposed by analyzing the relationship between the dissolved gas in the oil and the fault type.R-TSN replaces the original hard labels with soft labels,and uses it to measure the similarity between different samples in the space,to a certain extent,it can obtain the hidden feature information in the samples,and clarify the classification boundary.Through the identification experiment,the effect of R-TSN diagnosis model is analyzed,and the influence of the compound fault of discharge and thermal on the diagnosis model is studied.This paper compares R-TSN with support vector machines(SVMs),decision trees and multilayer perceptron models in transformer fault diagnosis.Experimental results show that R-TSN has better performance than the above methods.After adding compound faults in the sample set,the accuracy rate can still reach 86.0%.展开更多
Data model is the core knowledge of database course.A deep understanding of data model is the key to mastering database design and application.The data models of NoSQL databases are categorized as key-value stores,col...Data model is the core knowledge of database course.A deep understanding of data model is the key to mastering database design and application.The data models of NoSQL databases are categorized as key-value stores,column-oriented stores,document-oriented stores and graph databases.This paper makes a comparative analysis of the characteristics of the relational data model and NoSQL data models,and gives the design and implementation of different data models combined with cases,so that students can master the relevant theories and application methods of the database model.展开更多
基金supported by Open Fund of Beijing Key Laboratory of Research and System Evaluation of Dispatching Automation Technology,China Electric Power Research Institute(SGDK 0000DZQT2003377)。
文摘The analysis of dissolved gas in oil can provide an important basis for transformer fault diagnosis.In order to improve the accuracy of transformer fault diagnosis,a method based on the relational teacher-student network(R-TSN)is proposed by analyzing the relationship between the dissolved gas in the oil and the fault type.R-TSN replaces the original hard labels with soft labels,and uses it to measure the similarity between different samples in the space,to a certain extent,it can obtain the hidden feature information in the samples,and clarify the classification boundary.Through the identification experiment,the effect of R-TSN diagnosis model is analyzed,and the influence of the compound fault of discharge and thermal on the diagnosis model is studied.This paper compares R-TSN with support vector machines(SVMs),decision trees and multilayer perceptron models in transformer fault diagnosis.Experimental results show that R-TSN has better performance than the above methods.After adding compound faults in the sample set,the accuracy rate can still reach 86.0%.
基金This work was partly supported through the collaborative education projects of production and learning,and 2019 Sichuan teaching reform and research project,and teaching reform and research project of University of Electronic Science and technology in 2019.
文摘Data model is the core knowledge of database course.A deep understanding of data model is the key to mastering database design and application.The data models of NoSQL databases are categorized as key-value stores,column-oriented stores,document-oriented stores and graph databases.This paper makes a comparative analysis of the characteristics of the relational data model and NoSQL data models,and gives the design and implementation of different data models combined with cases,so that students can master the relevant theories and application methods of the database model.