DocumentCode :
2221922
Title :
Remote fault diagnosis system based on DSP for rolling bearing
Author :
Hongxia, Pan ; Yang, Gao
Author_Institution :
Sch. of Mech. Eng. & Autom., North Univ. of China, Taiyuan, China
Volume :
2
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
A online rolling bearing fault diagnosis system is designed using TI Company´s digital signal processor DSP-TMS320F2812 as the core processor. The hardware is built by the various peripheral modules of F2812, which includes the acquisition of vibration signal, rotating-speed signal, digital signal, and communicates with the upper monitor by RS-232 protocol and TCP/IP protocol. According to the common faults occurred in rolling bearing, the power spectrum, zoom power spectrum and wavelet envelope analysis are used in data processing to extract fault feature. The algorithms is embedded in DSP and can run independently without the upper monitor. It can get the type, location and extent of the fault by the fault feature vector. Tests show that the system can realize on-line monitoring for a long time, and can correctly identify the faults.
Keywords :
digital signal processing chips; fault diagnosis; mechanical engineering computing; rolling bearings; transport protocols; vibrations; DSP-TMS320F2812; RS-232 protocol; TCP/IP protocol; core processor; digital signal; online rolling bearing; remote fault diagnosis system; rotating-speed signal; vibration signal acquisition; Band pass filters; Educational institutions; Frequency measurement; Manuals; Monitoring; Shafts; Vibrations; DSP; fault diagnosis; rolling bearing; wavelet envelope analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579288
Filename :
5579288
Link To Document :
بازگشت