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
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5536161