DocumentCode
2154647
Title
Research on key techniques for intelligent prediction of fault in safe running of complex electromechanical equipment
Author
Xiaoli, Xu ; Bin, Ren
Author_Institution
School of Mechanical Engineering, Beijing Institute of Technology, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
The intelligent prediction of fault is an important and difficult modern technique in our world, and the Technique can assure the safe running of key equipment and improve the working condition of it. The Technique is mainly based on large and complex electromechanical equipment, research and disclosure the new methods and technique on intelligent prediction of fault based on data mining. Through the characteristic of fault data of electromechanical system, the acquisition methods of fault prediction based on data mining will be found out; the flow of fault prediction based on data mining will be set up; the fault prediction system and relative engineering application software will be made based on data mining. The test shows: the key technique for intelligent prediction of fault in safe running of complex electromechanical equipment can improve the efficiency of fault prediction for large electromechanical equipment.
Keywords
Artificial neural networks; Classification algorithms; Data mining; Fault diagnosis; Instruments; Maintenance engineering; Vibrations; data mining; electromechanical equipment; intelligent prediction of fault;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5691510
Filename
5691510
Link To Document