Fault Diagnosis of Gearbox Based on ICA and Envelope Analysis
Bin Li, Yu Guo, Ting Wei Liu, Yan Gao · Advanced materials research · 2012
The traditional envelope analysis methods are usually ineffective in the fault diagnosis of Gearbox on the condition that there are multi-fault sources in mechanic systems. In the paper, an independent component analysis (ICA) approach is proposed incorporating with the envelope analysis to handle the difficulty. The gearbox envelope signal can be separated into different components according to different vibration sources, and then be further studied by the envelope spectrum analysis in terms of the vibrations in the gearbox. Extensive practical tests on the gearbox including two types of faults are performed to verify the validity of the proposed method. The test results show that the fault frequency characteristics can be separated successfully and the faults are identified precisely.