Title :
Study on fault forecasting based on auto-regression model
Author :
Qian-qian Liu;Hong-xia Wang
Author_Institution :
Naval University of Engineering, College of electronic Engineering, Wuhan, China
Abstract :
As the demand of the modern equipment of prognostic and health management, fault forecasting is becoming more and more important. This paper study the fault forecasting method based on date, preprocess this data to meet the needs of the fault forecasting model, Then the algorithm based on auto-regression model are studied to predict fault. The experimental results show that the method is feasible. It can predict failure before equipment failure to provide the basis for on-condition maintenance system.
Keywords :
"Data models","Predictive models","Decision support systems","Reactive power","Data preprocessing"
Conference_Titel :
Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2015 IEEE
Print_ISBN :
978-1-4799-1979-6
DOI :
10.1109/IAEAC.2015.7428733