A Study on Fault Diagnosis of Hydroelectric Generator Based on D-S Evidence Theory
会议名称：《11th International Conference on Electrical Machines and Systems》
会议日期：2008年
学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学]
摘 要：正The fault of hydroelectric generator can be reflected by different characteristic signal from different side, due to complexity of fault reason in hydroelectric *** order to improve the accuracy of fault diagnosis,a data fusion method using multi-neural network and D-S evidence theory is presented in this *** combination of multi-neural network with D-S evidence theory can take full advantage of one’s own *** example of mechanical vibration fault in hydroelectric generator is used for simulation experiments,the simulation results verify the method for hydroelectric generator fault diagnosis based on D-S evidence theory has better accuracy.