DocumentCode
2958546
Title
Mine Main Fan Intelligent Fault Diagnosis Model Research
Author
Xiaohua, Liu ; Xiangling, Ma
Author_Institution
Naval Aeronaut. Eng. Univ., Yantai, China
Volume
1
fYear
2011
fDate
28-29 March 2011
Firstpage
826
Lastpage
829
Abstract
In view of the urgent needs of the intelligent fault diagnosis of the current mine main fan, and according to the fault type characteristic of mine main fan and analyzing to generate unavoidably the causes that depending on a single information detection conduct fault diagnosis, mine main fan intelligent fault diagnosis model based on multi-sensor information fusion is presented by this paper. It provides forceful support for system monitoring and fault diagnosis in mining production processing.
Keywords
fans; fault diagnosis; mining equipment; production engineering computing; sensor fusion; information detection; information fusion; intelligent fault diagnosis; mine main fan; mining production processing; multi-sensor; Analytical models; Data mining; Data models; Fault diagnosis; Feature extraction; Fuel processing industries; Monitoring; Information fusion; Main fan; Multi-sensor; intelligent fault diagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.214
Filename
5750640
Link To Document