DocumentCode
3358175
Title
Rolling bearing fault diagnosis study based on chaos and fractal theory
Author
Jun, Pei ; Fengxing, Zhou ; Zhihua, Meng ; Bing, Zhou
Author_Institution
Eng. Res. Center of Metall. Autom. & Meas. Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear
2010
fDate
26-28 June 2010
Firstpage
5295
Lastpage
5297
Abstract
Chaos and fractal theory has its particular characteristic in posting essences of things and it´s sensitive to complex machine system forepart faults. The fault diagnosis and prediction of complicated mechanical systems are researched by using the fractal and chaos theory. Judging by the kinetic characteristics of mechanical equipment have changed to judge whether the fault exists or not. The frequency spectrum is analyzed to determine the reason and the locality of the fault, further, in high-speed wire rolling mill of fault detection and diagnosis of achieved good effect.
Keywords
Chaos; Fault detection; Fault diagnosis; Fractals; Frequency; Kinetic theory; Mechanical systems; Milling machines; Rolling bearings; Wire; Fault Diagnosis; Fractal and Chaos; Gearbox and Bearing;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan, China
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5536161
Filename
5536161
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