A Fault-Dictionary Diagnostic Method in Frequency Domain for Nonlinear Networks Based on Volterra Series and Backward Propagation Neural Networks (BPNN)
Yigang He · Journal of Hunan University · 2004
This paper proposed a fault-dictionary diagnostic method in frequency domain for nonlinear network based on Volterra series and BPNN. We calculated the frequency cores of Volterra series from the responses of the network in various fault states, which can be taken as fault features and were fed into BPNN. By using the classifiable function of BPNN, we built a fault dictionary. After classifying the Volterra frequency cores tested from the networks, the fault location was completed. We established the unified recursive computing formulas for the frequency cores and discussed the test method for the frequency cores and the method for solving the equations by ANN.