A Conceptual Design of a Digital Companion for Failure Analysis in Rail Automation

In rail automation, failure analysis is a crucial task in the maintenance phase. Domain experts are often faced with various challenges in analyzing large data volumes of highly complex data structures. Finding causes for potential failures and deciding how to optimize or repair the system may be extensively time consuming. We propose the concept of a digital companion which assists experts during analysis and recommends optimizations for the installed system. A sequence of different data analytics methods within the digital companion enables the domain experts to manage and control the process of failure analysis. In illustrative examples, we give insights in the workflow of the digital companion and discuss its application in the domain of rail automation.

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