6 citations · 8 across the 9 of their papers we have counts for
3 papers · 1 filter
A maturity framework for data driven maintenance
Chris Rijsdijk, Mike van de Wijnckel, Tiedo Tinga
Maintenance decisions range from the simple detection of faults to ultimately predicting future failures and solving the problem. These traditionally human decisions are nowadays i…
Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learning
Lisandro A. Jimenez-Roa, Thiago D. Simão, Zaharah Bukhsh +4
Large-scale infrastructure systems are crucial for societal welfare, and their effective management requires strategic forecasting and intervention methods that account for various…
Comparing Homogeneous And Inhomogeneous Time Markov Chains For Modelling Degradation In Sewer Pipe Networks
Lisandro A. Jimenez-Roa, Tiedo Tinga, Tom Heskes +1
Sewer pipe systems are essential for social and economic welfare. Managing these systems requires robust predictive models for degradation behaviour. This study focuses on probabil…