机电工程技术2024，Vol.53Issue(7)：251-254,4.DOI:10.3969/j.issn.1009-9492.2024.07.053
基于油液在线监测系统的智能诊断模块
Intelligent Diagnosis Module Based on Oil Online Monitoring System
胡展阳 1许少凡 1李锦成 2崔策1
作者信息
- 1. 广研检测(广州)有限公司,广州 510700
- 2. 吐哈油田公司工程技术研究院采油机械研究所,新疆吐鲁番 838000
- 折叠
摘要
Abstract
In the application process of the widely deployed oil online monitoring system,enterprise users lack effective analysis methods for the real-time collection of a large amount of oil physical and chemical index data,resulting in the information contained in the data being unable to be excavated and utilized in a timely manner,and unable to effectively guide lubrication management work.In order to solve the lag in analyzing a large amount of oil data on site and increase the timeliness of enterprise lubrication management work,it is proposed to use the oil online monitoring system as the research foundation,use Python3 as the development language,and combine PyQt5 and other technical libraries to construct software modules.Machine learning and neural network algorithm models are encapsulated and developed,and ultimately an intelligent diagnosis module based on the oil online monitoring system is developed.The results indicate that this module can provide intelligent diagnostic services for a large amount of oil indicator data and analyze the health status of the oil based on the online oil monitoring system.关键词
润滑管理/油液在线监测系统/机器学习/智能诊断Key words
lubrication management/oil online monitoring system/machine learning/intelligent diagnosis分类
信息技术与安全科学引用本文复制引用
胡展阳,许少凡,李锦成,崔策..基于油液在线监测系统的智能诊断模块[J].机电工程技术,2024,53(7):251-254,4.
