Abstract
Currently, a new method using finite element method (FEM) simulation definite band pass filter was developed to detect defects in axial piston pump bearings with agreeable performance. However, the bandwidth of the band-pass filter is not well addressed. As a signal processing technique, Kurtosis has achieved great success to extract fault features in mechanical systems. In this paper, Kurtosis is employed in optimizing the bandwidth of the constructed band pass filter. Firstly, FEM is utilized to obtain the first bending frequency of bearings with faults. Secondly, the band-pass filter is designed by using the first bending frequency to determine the center frequency and further search for optimal bandwidth using kurtosis. Finally, Hilbert envelope analysis is performed in order to filtered signal to extract faults. Experiment and comparison results of a faulty bearing in an axial piston pump show that the present improvement version of the FEM improved band-pass filter can be applied to extract fault features for the reciprocating motion systems with heavy impact-induced natural periodic impulses.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
