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

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...

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Bibliographic Details
Main Authors: Yang Zuo, Florian Thiery, Praneeth Chandran, Johan Odelius, Matti Rantatalo
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
railway switch and crossing
vibration
squat
anomaly detection
unsupervised machine learning
anomaly score
Online Access:https://www.mdpi.com/1424-8220/22/17/6357

Internet

https://www.mdpi.com/1424-8220/22/17/6357

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