基于Q-Learning算法的电气故障检测模型

Electrical Fault Detection Model Based on Q-Learning Algorithm

针对电气故障检测过程中,时效性和准确性低的特点,提出了一种基于Q-Learning算法的电气故障检测模型(QLEFDM)。该模型将Q-Learning算法运用到电气故障检测技术当中,可以对熔断器故障进行有效的检测。该模型可以有效地判断熔断器的故障,提高故障检测的时效性和准确性。经过实验证明了该模型的有效性。

Aiming at the characteristics of low timeliness and accuracy in the process of electrical fault detection,an electrical fault detection model(QLEFDM)Based on Q-Learning algorithm was proposed.This model applies Q-Learning algorithm to electrical fault detection technology,which can effectively detect fuse faults.This model can effectively judge the fault of the fuse,and improve the timeliness and accuracy of fault detection.The experiment proves the validity of the model.