Title :
Gearbox fault diagnosis based on frame decomposition
Author :
Feng, Zhipeng ; Hao, Rujiang ; Zhang, Jin ; Chu, Fulei
Author_Institution :
Inst. of Vehicular Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
Frame decomposition is flexible in representing arbitrary signals, and thereby is effective in matching the characteristic structure of and extracting the time-frequency features directly. It is applied to analyzing the gearbox vibration signals under healthy and faulty statuses. Based on a wavelet frame, the periodic impulses characteristic of localized damaged gear vibration are extracted in joint time-frequency domain, and the localized gear damage is detected and located. The analysis validates the effectiveness of frame decomposition in fault diagnosis of gearboxes.
Keywords :
acoustic signal processing; condition monitoring; fault diagnosis; gears; vibrations; wavelet transforms; frame decomposition; gearbox fault diagnosis; gearbox vibration signals; localized damaged gear vibration; time-frequency domain; wavelet frame; Fault diagnosis; Feature extraction; Gears; Teeth; Time frequency analysis; Transient analysis; Vibrations; Gear; fault diagnosis; frame decomposition; time-frequency analysis;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646219