Influence of Unbalance on Tyre Pressure Monitoring System Based on C-GRU Approach

When the air pressure in either tire falls below a predetermined level, the present Tyre Pressure Monitoring System alerts the driver. The annual death toll is estimated at 650 now because of this avoidable signal. Constant monitoring of performance indicators proves the project's value. Therefore, our proposed system demonstrated a method to compile tyre factors and offer them to the driver in a single location. Preprocessing, feature selection, and model training are the first three steps of the proposed method. Radial acceleration is utilized in preprocessing to take into consideration the noise that occurs during actual driving conditions. The proposed system employ information gain and entropy reduction to make feature selections. Following feature selection using information gain, C-GRU is used to train the models. The proposed method outperforms both GRU and CNN, the two most popular alternatives.