DocumentCode :
1929097
Title :
Comprehensive Diagnosis of Gear-Box Typical Fault in the High Speed Wire Rolling Mills
Author :
Cui, Ling-li ; Gao, Li-xin ; Ding, Fang ; Zhang, Jian-yu
Author_Institution :
Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol.
Volume :
1
fYear :
2006
fDate :
16-20 2006
Abstract :
Gearbox vibration signal of high-speed wire rolling mills is complex and has much complex frequency structure and various disturb. It leads to the difficulty of diagnosis work especially some or other early impulse fault hidden in existence. The paper presents a new comprehensive analysis method which integrates the statistical analysis, the frequency analysis and the time-frequency analysis organically. First, time domain wave analysis, frequency analysis, statistical trend analysis and characteristic frequency amplitude trend analysis are used to judge the status of the machine and fault parts primarily, and then precision diagnosis of wavelet packets decomposition and reconstruction based on the multi-resolution analysis is used to make certain the fault quality and fault position quantitatively. The diagnosis analysis results of one application example indicate the validity and the practicability of the method proposed here
Keywords :
acoustic signal processing; fault diagnosis; gears; rolling mills; signal resolution; statistical analysis; time-frequency analysis; vibrations; wavelet transforms; comprehensive diagnosis; fault quality; gear-box typical fault; gearbox vibration signal; high speed wire rolling mills; multiresolution analysis; statistical analysis; statistical trend analysis; time-frequency analysis; wavelet packets decomposition; Fault diagnosis; Frequency domain analysis; Milling machines; Statistical analysis; Time domain analysis; Time frequency analysis; Wavelet analysis; Wavelet domain; Wavelet packets; Wire;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.344460
Filename :
4128796
Link To Document :
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