摘要
Abstract
Electrical fault is a major hidden danger to the normal operation of generator sets,so it is of great significance to detect electrical faults in time.Aiming at the problem of electrical fault detection of generator set,an intelligent detection method based on echo state network is proposed,which can realize automatic real-time detection of generator set electrical fault.In this method,10 kinds of common faults of generator sets are taken as input,and then incorporated into the echo state network for learning and training,and the fault judgment is made according to the results of network analysis.In the course of the experiment,through a variety of sensors with manual inspection to collect variable data,and through the training and learning of multi-variable time series data in the echo state network,the final result of fault detection is formed.The experimental results show that the intelligent detection algorithm proposed in this paper can automatically and real-time detect the fault of the generator set.The method proposed in this paper is non-manual,intelligent and real-time.关键词
发电机组/电气故障/智能检测/测试分析/回声状态网络Key words
generator set/electrical fault/intelligent detection/test and analysis/echo state network分类
信息技术与安全科学
