Optimizing preventive maintenance policy: A data-driven application for a light rail braking system

This article presents a case study determining the optimal preventive maintenance policy for a light rail rolling stock system in terms of reliability, availability, and maintenance costs. The maintenance policy defines one of the three predefined preventive maintenance actions at fixed time-based intervals for each of the subsystems of the...

Large-Scale ADS-B Data and Signal Quality Analysis

To investigate the contradicting findings of previous studies that investigated ADS-B quality, a study was per-formed to analyze the data and signal quality of ADS-B. For this study, a large dataset of raw ADS-B messages was analyzed, regarding the quality of the data and the signal, differentiating between internal and external sources of...

A non-conservative software-based approach for detecting illegal CFEs caused by transient faults

Software-based methods for the detection of control-flow errors caused by transient fault usually consist in the introduction of protecting instructions both at the beginning and at the end of basic blocks. These methods are conservative in nature, in the sense that they assume that all blocks have the same probability of being the target of...

Implementing reliability, availability, maintainability and supportability RAMS for the MRO industry: A case study at European Airlines