Controller Area Network based wind Turbine Safety Management system for Disaster Prediction and Maintenance

Abstract

Wind generators are a significant component of renewable. Turbine servicing is time-consuming and costly. This study describes a CAN-based framework for turbine surveillance and problem diagnostics. CAN is a message-based system created for automotive, subsequently aircraft, factory equipment, and diagnostic implants. The CAN communication module is used to send monitoring information between the wind generator and the control centre. Disturbance happens during data transfer through one terminal towards another. To prevent these disruptions, we suggest the CAN interface. Throughout this research, we created a system that uses the ARM and CAN protocols to detect and diagnose faults in a turbine operation. The project is concerned with the transmission of data between 2 components in real time with no interruptions. The CAN protocol lengthens data transfer time. ARM core1 is the turbine component to which detectors are linked, and ARM core2 is the fault diagnosis and monitoring part.