Keywords: Anomaly detection
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Journal Articles
Journal of Quality in Maintenance Engineering (2017) 23 (3): 310–325.
Published: 14 August 2017
... to identify systematic and random variations in rail wear pattern that are beyond normal: the visualisation approach is a better tool for anomaly detection as it categorises wear observations into normal, suspicious and anomalous observations. Practical implications A practical implication of this paper...

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