Abstract： Aiming at the shortcomings of mechanical fault early warning of FBD8.5-2 × 75 local ventilator in Xinjing Coal Mine, the typical mechanical faults and their characteristics of ventilator in the harsh working environment of coal mine are analyzed. Based on vibration analysis, a fault early warning method of coal mine ventilator is designed. The system is based on the MCM-100 vibration analysis platform, and the 630C01 sensor is used to collect the vibration signal, and the diagnosis and identification are carried out from the two aspects of spectrum analysis and vibration intensity. The practice shows that the early warning method of fan vibration fault can effectively identify the fault of FBD8.5-2×75 local fan in Xinjing Mine, and give early warning in time to ensure the safety of the equipment, which provides experience for fault monitoring and early warning of coal mine fan under similar conditions.
王宏伟. 新景矿通风机振动故障预警方法设计及应用研究[J]. 煤炭与化工, 2024, 47(7): 85-88.
Wang Hongwei. Design and application research on vibration fault early warning method of fan in Xinjing Mine. CCI, 2024, 47(7): 85-88.
