矿井提升机减速器状态监测与预报系统设计与软件开发

Design and Software Development of Condition Monitoring and Forecasting System of Mine Hoist Reducer

基于模糊理论与RBF神经网络建立了一种融合多种监测参数的提升机减速器状态综合评判与预报模型,并应用Visual Basic 6.0与Matlab 7.0开发工具开发了系统软件。该软件建立了一个数据库来管理减速器监测参数历史数据,并在此基础上来实现状态的评判或预报。通过实例分析测试了该软件的可靠性,结果显示该软件具有较高的精度和准确性。

Based on fuzzy theory and RBF neural network,a condition monitoring and forecasting model used in reducer of main hoist is established,which combines multiple parameters.And system software is developed based on development tool of Visual Basic 6.0 and Matlab 7.0.The software establishes a database to manage historical data of monitoring parameters,and based on this,to realize judging and forecasting of working state.The software proves reliable with example analysis,and results display good accuracy and precision of software.