The diagnostic results can be seen in Figures and. Despite the large number of parameters to be trained, after 100 complete passes through the training data (epochs), the DNN reached a training accuracy and loss of 98.38% and 0.0983 respectively, demonstrating that the network was able to successfully converge and diagnose the SoH based on the AC voltage response.