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 :
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