Asset Management & Rolling Stock (Theatre 3)
Data analytics for train fleet reliability
The presented analytics are used to steer efforts to help improve train fleet reliability. One key aspect is a 3D data visualisation of the maintenance orders (MO) generated for train-borne subsystems, which allows a time-space perspective to be depicted. Information set up in the aforementioned framework becomes useful, as it accords comparative analysis between train types over time (as will be demonstrated). This includes outlier identification and a drill down of accountability to the component level. A correlation between MO (maintenance order) count and levels of delay severity, using representative data that has been anonymized, reveals a pyramid relationship for the three subsystems of interest.