Abstract
Information fusion is the main method to improve diagnosis accuracy. In this paper, fusion information entropy is defined by fusing speed with three kinds of information entropy that are singular spectrum entropy in time domain, power spectrum entropy in frequency domain and wavelet energy spectrum entropy in time-frequency domain from multiple perspectives to describes vibration fault characteristics. According to the principle of entropy increase, condition information entropy increase of vibration fault are defined and used as new criterion for fault diagnosis, and the grey correlation between sample fault and typical fault is defined to realize the vibration fault diagnosis. Finally, the method’s effectiveness is verified by vibration simulation data from vibration fault simulator. The result shows that this method can identify 6 typical vibration faults correctly.
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.
