煤矿真空断路器状态监测决策系统设计

Design of Condition Monitoring Decision System of Vacuum Circuit Breaker of Mine

针对现阶段煤矿真空断路器状态监测系统的不足,选取影响真空断路器健康状况和故障的特征参量,设计一种基于多信号分数阶傅里叶变换的GA-RBF融合DS证据理论的状态监测决策系统,从而实现真空断路器的实时状态监测。仿真结果证明:相较于单信号神经网络系统,该决策系统可实现更准确可靠的状态评价。

In order to improve condition monitoring of vacuum circuit breaker in mine present, by analyzing the principle of vacuum circuit breaker with fault type and the corresponding signs, a set of condition monitoring decision system is developed based on multiple signals, fractional Fourier transform, GA-RBF and fusion of DS evidence theory, thus achieve real-time status monitoring of vacuum circuit breaker. The simulations results show that the system can achieve a more accurate and reliable state evaluation than a single signal neural network system.