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MPC |
| Title: | An Intelligent Transportation Systems Approach to Railroad Infrastructure Performance Evaluation |
| Principal Investigators: | Pan Lu and Raj Bridgelall |
| University: | North Dakota State University |
| Status: | Completed |
| Year: | 2016 |
| Grant #: | DTRT13-G-UTC38 (MAP21) |
| Project #: | MPC-505 |
| RH Display ID: | 153160 |
| Keywords: | fatalities, inspection, maintenance of way, nondestructive tests, railroad crashes, railroad tracks, rolling stock, sensors |
The method developed in this research will not rely on adapting sensor configurations and will require only a data upload capability. The new sensors will compress and upload their geo-tagged inertial data periodically to a centralized processor. Remote algorithms will combine and process the data from multiple train traversals to identify fault symptoms, rank their severity, classify fault types, and localize their position. Fault classification will enable asset managers to allocate the appropriate specialists to scrutinize the fault location.
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