2016 Annual Conference of the Prognostics and Health Management Society





Rui Maranhão
Parham Shahidi

2016 Annual Conference of the Prognostics and Health Management Society

October 5
Panel Session: Railway PHMParham Shahid, Panelist
The maintenance strategies for rolling stock, railway infrastructure, and signaling equipment for the railway industry are moving towards a more predictive and condition-based maintenance approach. With the advances in sensors, data and network infrastructure, and advanced data analytics, the railway industry has made great strides in realizing predictive maintenance offerings and has the ability to further extend these offerings in the near future. There are numerous examples of predictive maintenance for infrastructure (track geometry/rail condition, point machines), rolling stock (brake pads, diesel engines, traction motors, wheel health, real- time monitoring /event analysis), and the panelist will discuss some of these current efforts. In addition, the panelist will discuss the current challenges (both business and technical) for developing and deploying PHM technologies in the railway industry. Lastly, some thoughts on the future direction of PHM and data analytics for the railway industry will be discussed from both the panelist and the audience members.
October 6

Although considerable effort has been invested in developing methods for testing and failure detection, synthesis of programs from abstract models and verification of programs (and models), techniques for locating the root cause of observed program failures are still relatively immature. Therefore, the utility for general testing and debugging techniques remain limited to specific programs, execution environments, and problem contexts. Furthermore, no plug&play toolset exists providing state-of-the-art techniques to help developers with testing and debugging.

In this talk, we will discuss current state-of-the-art techniques for testing and debugging and how the combination of all these techniques helps to gain a better understanding of the software application. The techniques discussed in the talk are available within a plugin for the Eclipse IDE, coined GZoltar.

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