Managing engineering systems with large state and action spaces through deep reinforcement learning

CP Andriotis, KG Papakonstantinou - Reliability Engineering & System …, 2019 - Elsevier
Decision-making for engineering systems management can be efficiently formulated using
Markov Decision Processes (MDPs) or Partially Observable MDPs (POMDPs). Typical …

Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints

CP Andriotis, KG Papakonstantinou - Reliability Engineering & System …, 2021 - Elsevier
Determination of inspection and maintenance policies for minimizing long-term risks and
costs in deteriorating engineering environments constitutes a complex optimization problem …

Optimization of an aperiodic sequential inspection and condition-based maintenance policy driven by value of information

W Fauriat, E Zio - Reliability Engineering & System Safety, 2020 - Elsevier
The issue of the optimal planning of inspection and maintenance actions for a randomly
deteriorating system constitutes a difficult sequential decision-making problem in which the …

Value of structural health information in partially observable stochastic environments

CP Andriotis, KG Papakonstantinou, EN Chatzi - Structural Safety, 2021 - Elsevier
Efficient integration of uncertain observations with decision-making optimization is key for
prescribing informed intervention actions, able to preserve structural safety of deteriorating …

SHM-informed life-cycle intelligent maintenance of fatigue-sensitive detail using Bayesian forecasting and Markov decision process

L Lai, Y Dong, D Smyl - Structural Health Monitoring, 2024 - journals.sagepub.com
Civil and maritime engineering systems must be efficiently managed to control the failure
risk at an acceptable level as their performance is gradually degraded throughout the …

Quantifying the Value of Satellite-Based Pavement Monitoring in Partially Observable Stochastic Environments

M Bashar, C Torres-Machi - Journal of Computing in Civil …, 2023 - ascelibrary.org
Accurate and timely assessment of pavement condition is critical to determine optimal
maintenance plans. Due to the high costs of ground-based inspections, agencies often limit …

Importance Measure for Multilevel Inspections of Multistate Systems: A Value of Information Perspective

B Zhang, Y Liu, T Xiahou - IEEE Transactions on Reliability, 2023 - ieeexplore.ieee.org
Inspection is a crucial activity for an engineered system as its results can reduce the
uncertainty of identifying the true states of the system and its components, so as to facilitate …

Piling Data-Driven Framework for Optimized Pile Structures Based on Minimizing the Expected Total Cost

N Suzuki, K Nagai - Applied Sciences, 2023 - mdpi.com
The use of data in the construction industry is growing rapidly. However, projects that do not
have multiple stages, such as pile foundation and cantilever wall construction, are difficult to …

Leveraging Satellite Data and Machine Learning to Enhance Pavement Condition Assessment

MZI Bashar - 2022 - search.proquest.com
This research aims at establishing the feasibility of applying satellite data and machine
learning (ML) to pavement applications as a way to envision the future of infrastructure asset …

Strategic Prioritization and Planning of Multi-Asset Transportation Infrastructure Maintenance, Rehabilitation, and Improvements: Phase 1–Prioritization through …

EM Hooks, S McNeil, D Lattanzi, K Papakonstantinou… - 2021 - rosap.ntl.bts.gov
This project advances technologies to support strategic planning of maintenance, repair,
and rehabilitation options (improvement actions) and their implementation prioritization for …