Squat Detection of Railway Switches and Crossings Using Wavelets and Isolation Forest

Railway switches and crossings (S&Cs) are critical, high-value assets in railway networks. A single failure of such an asset could result in severe network disturbance and considerable economical losses. Squats are common rail surface defects of S&Cs and need to be detected and estimated at an early...

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Auteurs principaux:	Yang Zuo, Florian Thiery, Praneeth Chandran, Johan Odelius, Matti Rantatalo
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-08-01
Collection:	Sensors
Sujets:	railway switch and crossing vibration squat anomaly detection unsupervised machine learning anomaly score
Accès en ligne:	https://www.mdpi.com/1424-8220/22/17/6357
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