继电器
粒子群优化
支持向量机
集合(抽象数据类型)
工程类
国家(计算机科学)
计算机科学
人工智能
机器学习
数学优化
算法
数学
量子力学
物理
功率(物理)
程序设计语言
作者
Xinyang Hu,Xiukun Wei,Yumin Ma,Zhiqiang Liu
出处
期刊:Lecture notes in electrical engineering
日期:2024-01-01
卷期号:: 558-566
标识
DOI:10.1007/978-981-99-9315-4_54
摘要
Relay is widely used in the control system of metro vehicles. Its reliable and safe operation is the necessary condition to ensure the normal operation of metro vehicle system. To effectively assess the operating status of the relay and timely discover potential hazards, this paper proposes a state assessment method based on support vector machine optimized by particle swarm optimization algorithm combined with D-S evidence theory (PSO-SVM-DS). And an electromagnetic relay test rig is set up to collect five sorts of time characteristic parameters. Finally, compared with the traditional D-S evidence theory algorithm on the test set, the model proposed in this paper achieves higher recognition accuracy.
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