Bo Song scite author profile

Safe operation is the basic requirement of railway operation. Reasonable maintenance is the basic guarantee for the safe operation. Big data to analyze things as a rule of a cutting edge technology, applied to the analysis of railway detecting data processing, can improve the testing data of the use of the quality and efficiency of analysis. Based on big data, this paper points out state railway equipment management, reasonable status classification, solving the state transition probability, the prediction model is set up, providing better decision support for maintenance and repair work.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Bo Song

Effect of oxidation temperature on oxidation reactivity and nanostructure of particulate matter from a China VI GDI vehicle

Impact of test cycle on mass, number and particle size distribution of particulates emitted from gasoline direct injection vehicles

Comparisons of single-phase and two-phase models for numerical predictions of Al2O3/water nanofluids convective heat transfer

Railway Maintenance Analysis Based on Big Data and Condition Classification

Contact Info

Product

Resources

About