传感技术学报2025，Vol.38Issue(10)：1898-1905,8.DOI:10.3969/j.issn.1004-1699.2025.10.023
离心风机在线监测与多层次信息融合诊断系统
Centrifugal Fan Online Monitoring and Multi-Level Information Fusion Diagnostic System
王子涵 1许力2
作者信息
- 1. 浙江大学工程师学院,浙江 杭州 310015||浙江大学机器人研究院,浙江 宁波 315499
- 2. 浙江大学电气工程学院,浙江 杭州 310027||浙江大学机器人研究院,浙江 宁波 315499
- 折叠
摘要
Abstract
There has been notable attention towards effectively monitoring and diagnosing the operational status of centrifugal fan re-cently.To address problems such as the susceptibility of fan data under actual working scenarios with environmental noise and the limi-tation of traditional model in extracting fault information,a centrifugal fan online monitoring and multi-level information fusion diagnostic system is proposed.The system's architecture involves a monitoring network composed of PLC and sensors,which enables the reading,recording,and visualization of various parameters in real time.A one-dimensional bilinear-CNN approach based on multi-level informa-tion fusion is employed to combine data and features for analyzing the fan's operational status.The accuracy of the result obtained is ver-ified to be 99.09%which is higher than those of comparative methods.Thus,the system provides a feasible solution for monitoring and diagnosing centrifugal fan.关键词
故障诊断/离心风机/在线监测/信息融合/双线性池化/卷积神经网络Key words
fault diagnosis/centrifugal fan/on line monitoring/information fusion/bilinear pooling/convolutional neural network分类
机械工程引用本文复制引用
王子涵,许力..离心风机在线监测与多层次信息融合诊断系统[J].传感技术学报,2025,38(10):1898-1905,8.
