Bike Engine Health Monitoring using Vibration

Artificial intelligence is being currently used in many vehicles to self-drive. A variety of sensors are required to give information about components. Health monitoring of vehicles is an area that is dragging the attention of researchers across the world. In this paper, we have dealt with one of the important parameters of vehicle, which is an engine. The engine transmits power using a gear system which generates noise and vibration due to variation in the meshing force. We have used a piezoelectric sensor to collect vibration signals of an engine and convert the time domain signal to frequency domain, based on different frequencies health is predicted using ML Support Vector Classifier. In the proposed mechanism an android application is used to visualize the real-time data.