基于信息融合的煤矿绞车健康诊断系统设计

Design of health diagnosis system of coal mine winch based on information fusio

  • 摘要: 针对传统的绞车故障诊断方法存在滞后性和缺乏对早期故障的预测能力的问题,设计了基于信息融合的煤矿绞车健康诊断系统。该系统以LabVIEW软件为开发平台,利用传感器采集绞车的振动信号,通过计算获取振动信号基本概率赋值,从而提取特征信号,然后采用D-S证据理论进行信息融合,根据融合规则判定绞车是否健康运行。测试结果验证了该系统的可行性。

     

    Abstract: In view of problems of lag and lack of ability of early failure prediction of traditional fault diagnosis methods of winch, a health diagnosis system of coal mine winch based on information fusion was designed. The system takes LabVIEW software as development platform, it uses sensors to collect vibration signals of the winch, and obtains basic probability assignments through calculation to extract characteristic signals; then adopts D-S evidence theory to fuse information, and determines whether the winch is running properly according to fusion rules. The test result shows feasibility of the system.

     

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