Prognostic modeling of predictive maintenance with survival analysis for mobile work equipment

Abstract In recent years there is a data surge of industrial and business data. This posses opportunities and challenges at the same time because the wealth of information is usually buried in complex and frequently disconnected data sets. Predictive maintenance utilizes such data for developing pro...

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Bibliographic Details
Main Authors: Zhen Yang, Juho Kanniainen, Tomi Krogerus, Frank Emmert-Streib
Format: Article
Language:English
Published: Nature Portfolio 2022-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-12572-z