矿用主通风机故障预警及其软件开发

    A Fault Early Warning and Software Development of the Main Ventilator in Mine

    • 摘要: 为准确确定通风机的故障、实现故障预警,提出了矿用主通风机的故障预警原理,并运用VC++6.0与Matcom4.5联合编程的方法,开发出了基于信息融合技术的通风机故障预警软件.该软件采用了BP神经网络与D-S证据理论相结合的信息融合技术,由BP神经网络完成特征频率到故障类型的非线性映射,根据D-S证据理论对多路信号进行融合分析;以OPC通讯方式与组态王运行系统进行通讯,实现了数据的采集与结论的返回.

       

      Abstract: In order to exactly determine the fault of the ventilator and realize the early warning of it,the warning principle of the ventilator failure is proposed.The fault early warning software based on the informa- tion fusion technology is developed using VC++6.0 combined with Matcom 4.5.Information fusion tech- nology and BP neural networks and evidence theory are adopted in the software,in which non-linearity map- ping between the fault style and the diagnostic frequency is accomplished by the BP neural network and multi- channels signal fusing and analyzing is carried out using the theory of evidence.Data acquisition and conclu- sion return are realized by using the OPC mode communication between the King View running system and the developed software.

       

    /

    返回文章
    返回