Comprehensive Analysis of Neural Network Predictions for Structural Instability

Flutter can be defined as the aeroelastic phenomenon that can occur in the structures of an aircraft like the wings, ailerons and ruddervators. These flutters can cause instability to the air-crafts which can risk the condition of the plane along with its passengers. Hence the aim of the study is to develop a system that can help us in predicting the point of occurrence of the flutter beforehand, as a signal to the pilot in command which can enable them to take the necessary action before anything fatal happens to the aircraft and its fellow passengers. Deep learning models will help us in the real world applications and help us in constructing and enhancing the appropriate model. Some of the models that we will be using are RNN and LSTM. In comparison, RNN has given the highest accuracy of 99.54%.