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Railway turnout systems are one of the most important components of railway infrastructure. Their geographically distributed nature makes failure detection, forecasting, and maintenance planning more critical. Prognostics, aiming to forecast the time of failures to achieve effective maintenance planning, has attracted industry and researchers in recent years. Prognostics has great potential to achieve reduced cost and increased availability with embedded difficulty in forecasting. However,doi:10.1177/0954409714525145 fatcat:vmbrg5bo65hzrpqafgb6lqk4om