Application of rough set to build electric power grid fault diagnosis model based on decision tree
Ran Li · Relay · 2005
By employing decision tree to build the model of electric power grid fault diagnosis,fault sample with non numerical and inaccuracy values can be processed,diagnosis result can be learned when information is corrupted,erroneous and even missing because of its strong fault tolerant ability and better adaptive capability.Based on rough set theory,the paper proposes an improved discernibility matrix to reduce the decision table which includes all kinds of fault cases with the signals of protection relays and takes circuit breakers as condition attributes and fault sections as value attributes.Then the decision tree of electric power grid diagnosis is built by using weighted mean roughness as separating attributes standard to realize electric power grid fault diagnosis.An example shows that the presented method can reduce attributes effectively with strong fault tolerant ability and the fault of electric power grid can be identified accurately.Compared with rule sets,decision tree is easier to maintain and modify.Furthermore,the decision tree is simple and easy to comprehend.