Title :
Research of rolling bearing fault diagnosis based on wavelet
Author :
Erbao Peng ; Yingzhan Hu ; Hongying Wang
Author_Institution :
Mech. Eng., Henan Polytech. Inst., Nanyang, China
Abstract :
Faults such as without cooling when processing, chuck could not clamp work pieces and turret without rotation were presented in CNC machine tools in this paper. Make use of PLC status display information diagnosis machine tool fault can get rid of fault rapidly and effectively. Practice has proved that it is an effective method to use PLC diagnosed fault.
Keywords :
computerised numerical control; condition monitoring; fault diagnosis; machine tools; rolling bearings; wavelet transforms; CNC machine tools; PLC status display information; fault diagnosis; rolling bearings; wavelet basis; Fault diagnosis; Rolling bearings; Time frequency analysis; Vibrations; Wavelet analysis; Wavelet transforms; Analysis; Diagnosis; Rolling bearing; Wavelet basis;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6022915
