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| Design and application research on vibration fault early warning method of fan in Xinjing Mine |
| Wang Hongwei |
| Shanxi Xinjing Coal Industry Co., Ltd., Yangquan 045000, China |
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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.
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[ 2 ] 王 菲. 矿用通风机故障监测与安全预警方法研究[ D ]. 廊坊:华北科技学院,2023. |
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