Abstract
Aiming at the problem of fault diagnosis and safety region boundary estimation of rolling bearing in metro vehicle, A method combined empirical mode decomposition (EMD) with support vector machine (SVM) was proposed. Firstly, The intrinsic mode functions (IMF) containing fault information was obtained by EMD decomposition based on the collected vibration data. Then, RMS value, energy, Shannon entropy and energy moments were calculated as characteristic index of roller bearing. Next the safety region boundary was demarcated by LSSVM and fault classification of bearings were identified by DAGSVM. The experiment results indicated that the proposed method could identify the working status and fault type of metro roller bearings accurately and effectively.
Sign-in/Register to access full text options 
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.
