Sequential anomalies: a study in the Railway Industry

dc.contributor.author Rita Paula Ribeiro en
dc.contributor.author Pereira,P en
dc.contributor.author João Gama en
dc.date.accessioned 2017-12-21T12:03:47Z
dc.date.available 2017-12-21T12:03:47Z
dc.date.issued 2016 en
dc.description.abstract Concerned with predicting equipment failures, predictive maintenance has a high impact both at a technical and at a financial level. Most modern equipments have logging systems that allow us to collect a diversity of data regarding their operation and health. Using data mining models for anomaly and novelty detection enables us to explore those datasets, building predictive systems that can detect and issue an alert when a failure starts evolving, avoiding the unknown development up to breakdown. In the present case, we use a failure detection system to predict train door breakdowns before they happen using data from their logging system. We use sensor data from pneumatic valves that control the open and close cycles of a door. Still, the failure of a cycle does not necessarily indicates a breakdown. A cycle might fail due to user interaction. The goal of this study is to detect structural failures in the automatic train door system, not when there is a cycle failure, but when there are sequences of cycle failures. We study three methods for such structural failure detection: outlier detection, anomaly detection and novelty detection, using different windowing strategies. We propose a two-stage approach, where the output of a point-anomaly algorithm is post-processed by a low-pass filter to obtain a subsequence-anomaly detection. The main result of the two-level architecture is a strong impact in the false alarm rate. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/4618
dc.identifier.uri http://dx.doi.org/10.1007/s10994-016-5584-6 en
dc.language eng en
dc.relation 5120 en
dc.relation 4983 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Sequential anomalies: a study in the Railway Industry en
dc.type article en
dc.type Publication en
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