Rail Transit Prognostic and Health Management Based on Big Data

Abstract

In this paper, a rail transit prognostic and health management method based on big data was investigated to achieve the requirements on cost-saving, profit-increasing and lean R&D in the rail transit industry. Firstly, the necessity of applying big data to the prognostic and health management was analyzed. Then, the technical framework of rail transit prognostic and health management platform (RPHMP) based on big data was proposed. Additionally, the application associativity of data mining algorithms in RPHMP was analyzed. On this basis, the cloud computing's role of application support to RPHMP on the three layers of infrastructure, platform and software was summarized. Finally, the application flow of the RPHMP based on big data was depicted.