锂电池故障检测与机器学习算法应用
Application of Lithium Battery Fault Detection and Machine Learning Algorithms
魏皓 1孙鹏 2刘瑞瑞1
作者信息
- 1. 江苏省医疗器械检验所,江苏 211316
- 2. 新疆维吾尔自治区药品检验研究院 新疆 830004
- 折叠
摘要
阐述医用电气设备中的锂电池故障检测方法,它采用机器学习算法结合数据预处理和特征提取.分析基于机器学习算法的选择与设计技术、故障检测的评估策略.
Abstract
This paper describes the fault detection method for lithium batteries in medical electrical equipment,which uses machine learning algorithms combined with data preprocessing and feature extraction.It analyzes the selection and design techniques based on machine learning algorithms,as well as the evaluation strategies for fault detection.
关键词
数据处理/锂电池/故障检测/评估策略Key words
data processing/lithium batteries/fault detection/evaluation strategies引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据