6 citations · 10 across the 5 of their papers we have counts for
5 papers
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…
Fault Trees, Decision Trees, And Binary Decision Diagrams: A Systematic Comparison
L. A. Jimenez-Roa, T. Heskes, M. Stoelinga
In reliability engineering, we need to understand system dependencies, cause-effect relations, identify critical components, and analyze how they trigger failures. Three prominent…
Deterioration modeling of sewer pipes via discrete-time Markov chains: A large-scale case study in the Netherlands
L. A. Jimenez-Roa, T. Heskes, T. Tinga +2
Sewer pipe network systems are an important part of civil infrastructure, and in order to find a good trade-off between maintenance costs and system performance, reliable sewer pip…
Automatic inference of fault tree models via multi-objective evolutionary algorithms
Lisandro A. Jimenez-Roa, Tom Heskes, Tiedo Tinga +1
Fault tree analysis is a well-known technique in reliability engineering and risk assessment, which supports decision-making processes and the management of complex systems. Tradit…