Abstract
A novel method for the detection of weak signals embedded in non-stationary backgrounds is derived based on empirical mode decomposition and singular spectrum analysis in the present study. Simulated example reveals that the new method performs well in the detection of the characteristic components and especially the weak signals. Finally, the method is applied to the experimental signals of gearbox and the useful weak fault components can be exactly captured, which shows that the method presented in this study provides an effective means to the detection of weak signals.
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.
