基于逻辑回归分类算法的地铁风机及水泵智能运维研究  

Research on Intelligent Operation and Maintenance of Subway Fan and Water Pump Based on Logistic Regression Classification Algorithm

作　　者：王多 韩露 WANG Duo;HAN Lu(College of Mechanical and Electrical Engineering,Henan Agricultural University;Zhengzhou Metro Group Co.,Ltd.)

机构地区：[1]河南农业大学机电工程学院 [2]郑州地铁集团有限公司

出　　处：《智能建筑与智慧城市》2024年第12期157-159,共3页Intelligent Building & Smart City

摘　　要：鉴于逻辑回归分析算法的特点,文章提出了基于振动信号分析的地铁大功率风机及水泵智能运维技术研究的算法及数学模型,通过分析振动信号,对风机及水泵的常见典型故障进行分类汇总,建立智能故障诊断模型。诊断结果表明该算法具有较高的准确率,减少了人为主观判断的干扰,提升了诊断精度,实现了风机及水泵状态的自动识别和预测,提升了设备的智能运维水平。In view of the characteristics of the logistic regression analysis algorithm,this paper proposes an algorithm and mathematical model for the intelligent operation and maintenance technology of high-power subway fans and water pumps based on vibration signal analysis.By analyzing vibration signals,the common typical faults of fans and water pumps are classified and summarized,and an intelligent fault diagnosis model is established.The diagnostic results show that the algorithm has high accuracy,reduces the interference of human subjective judgment,improves diagnostic accuracy,realizes automatic identification and prediction of fan and water pump status,and improves the intelligent operation and maintenance level of the equipment.

关 键 词：逻辑回归 智能运维 故障诊断 

分 类 号：TU962[建筑科学] TP273[自动化与计算机技术—检测技术与自动化装置]