Fault Diagnosis Based on Graph Theory and Linear Discriminant Principle in Electric Power Network

Yagang ZHANG, Qian MA, Jinfang ZHANG, Jing MA, Zengping WANG
<span title="">2010</span> <i title="Scientific Research Publishing, Inc,"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/afgx2slacfh5bnqpirnhoxrrg4" style="color: black;">Wireless Sensor Network</a> </i> &nbsp;
In this paper, we adopt a novel topological approach to fault diagnosis. In our researches, global information will be introduced into electric power network, we are using mainly BFS of graph theory algorithms and linear discriminant principle to resolve fast and exact analysis of faulty components and faulty sections, and finally accomplish fault diagnosis. The results of BFS and linear discriminant are identical. The main technical contributions and innovations in this paper include,
more &raquo; ... ng global information into electric power network, developing a novel topological analysis to fault diagnosis. Graph theory algorithms can be used to model many different physical and abstract systems such as transportation and communication networks, models for business administration, political science, and psychology and so on. And the linear discriminant is a procedure used to classify an object into one of several a priori groupings dependent on the individual characteristics of the object. In the study of fault diagnosis in electric power network, graph theory algorithms and linear discriminant technology must also have a good prospect of application.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/wsn.2010.21009">doi:10.4236/wsn.2010.21009</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zxldxirtjbdntcxubdwxkxqmda">fatcat:zxldxirtjbdntcxubdwxkxqmda</a> </span>
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