基于Python的振动监测与故障诊断系统开发
Development of vibration monitoring and fault diagnosis system based on Python
胡王平 1周裕康 1孙荣坤 1张志新1
作者信息
- 1. 浙江大学 化工机械研究所,浙江 杭州 310031
- 折叠
摘要
风机、泵和离心机等旋转设备是广泛应用于工业生产和日常生活的重要设备.在"服务型制造"的转变推动下,智能化、自动化以及数字化是这些设备的发展趋势,也是提高设备安全性、可靠性的重要方式.通过现场检测端和远程Web端的软、硬件设计,结合经典故障诊断算法与利用大数据的人工智能诊断方法,开发了低成本、高开放性振动监测与故障诊断系统,实现了旋转设备的运行状态监测与故障在线诊断和远程协同会诊功能,顺应智能制造的趋势,提供了针对风机等旋转设备运维的可行方案.
Abstract
Rotating equipment such as fans,pumps and centrifuges are widely used in industrial production and daily life.Driven by the transformation of service-oriented manufacturing,intelligence,automation and digitalization are the develop-ment trends of these devices and important ways to improve their safety and reliability.Through software and hardware design of the on-site detection terminal and the remote Web terminal,combined with the classical fault diagnosis algorithm and the artificial intelligence diagnosis using big data,this paper developed a low-cost and high-openness vibration monitoring and fault diagnosis system.It realized the running state monitoring,online fault diagnosis and remote collaborative consultation of the rotating equipment.Following the trend of intelligent manufacturing,we have provided a feasible scheme for the operation and maintenance of rotating equipment such as fans.
关键词
旋转设备/振动监测/故障诊断/系统设计Key words
rotating equipment/vibration monitoring/fault diagnosis/system design引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据