State monitoring and fault diagnosis method for coke oven inspection equipment

Effective fault detection and diagnosis can significantly enhance the operational efficiency and reliability of inspection equipment, ensuring the smooth progress of inspection work. To achieve efficient equipment monitoring and fault diagnosis, this paper studies the monitoring of equipment operating status based on sensor technology and conducts modeling analysis of the collected data. A circuit was independently constructed to collect current, voltage, and status information from key components of the inspection system. Additionally, a circuit protection mechanism was designed for potential severe faults that may occur at critical locations. Meanwhile, Zigbee wireless technology was utilized to transmit the collected data to the host computer, greatly facilitating equipment debugging and maintenance work. Based on this, the paper collected data from the wind turbine under normal conditions, established a baseline, and diagnosed faults by comparing data from normal and fault states, ensuring the stability and safety of the equipment.