Modern Manufacturing Engineering ›› 2017, Vol. 446 ›› Issue (11): 157-161.doi: 10.16731/j.cnki.1671-3133.2017.11.029

Previous Articles    

The application and prospect of trend prediction for equipment condition in oil-monitoring

Qu Panpan1,2, Xuan Zhengnan2,3, Zhang Yifen1, He Zhaorong2, Sun Zhiwei2   

  1. 1 College of Chemistry and Chemical Engineering,Taiyuan University of Technology,Taiyuan 030024,China;
    2 College of Mechanical and Electrical Engineering,Guangdong University of Petrochemical Technology,Maoming 525000,Guangdong,China;
    3 Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis,Guangdong University of Petrochemical Technology,Maoming 525000,Guangdong,China
  • Received:2016-03-09 Online:2017-11-20 Published:1900-01-01

Abstract: The prediction for equipment condition trend is not only one of the main tasks of fault diagnosis,but also an important research in this field.Especially,since the equipment maintenance mode changed from regular maintenance to predictive maintenance,in order to predict the trend of equipment condition accurately and formulate scientific and reasonable remedy,the prediction technology for equipment condition trend is particular significant.Therefore,the methods and research process for equipment condition trend prediction are introduced.Thus,combined with oil-monitoring technology,a new method of equipment trend prediction which is based on multi-source information fusion is proposed.

Key words: equipment condition, trend predict, oil-monitoring, data fusion

CLC Number: 

Copyright © Modern Manufacturing Engineering, All Rights Reserved.
Tel: 010-67126028 E-mail: 2645173083@qq.com
Powered by Beijing Magtech Co. Ltd