Abstract
Running gear, which is one of crucial element of high-speed train, is vital to security and dependability of the whole high-speed train. For the sake of guaranteeing normal running of running gear, it is very necessary to accurately estimate the health state of running gear. Consequently, this thesis presents a novel state evaluation model based on belief rule base (BRB). Considering the problem of combinatorial explosion in BRB. In the proposed evaluation model based on BRB and canonical correlation analysis (CCA), which is used to select core attributes by calculating the correlation between features. The results demonstrate that the model based on BRB and CCA can exactly estimate the health state of running gear.
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.
