Value of information analysis in civil and infrastructure engineering: a review

WH Zhang, DG Lu, J Qin, S Thöns… - Journal of Infrastructure …, 2021 - Springer
The concept of Value of Information (VoI) has attracted significant attentions within the civil
engineering community over especially the last decade. Triggered by the increasing focus …

Data analytics in asset management: Cost-effective prediction of the pavement condition index

SM Piryonesi, TE El-Diraby - Journal of Infrastructure Systems, 2020 - ascelibrary.org
Understanding the deterioration of roads is an important part of road asset management. In
this study, the long-term pavement performance (LTPP) data and machine learning …

Challenges to IoT-enabled predictive maintenance for industry 4.0

M Compare, P Baraldi, E Zio - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
The Industry 4.0 paradigm is boosting the relevance of predictive maintenance (PdM) for
manufacturing and production industries. PdM strongly relies on Internet of Things (IoT) …

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 …

The value of monitoring a structural health monitoring system

PF Giordano, S Quqa, MP Limongelli - Structural safety, 2023 - Elsevier
Abstract Structural Health Monitoring (SHM) systems are adopted to acquire timely and
continuous data on the state of civil structures, aerospace vehicles, and industrial machines …

On the value of monitoring information for the structural integrity and risk management

S Thöns - Computer‐Aided Civil and Infrastructure Engineering, 2018 - Wiley Online Library
This article introduces an approach and framework for the quantification of the value of
structural health monitoring (SHM) in the context of the structural risk and integrity …

A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance

A Kamariotis, K Tatsis, E Chatzi, K Goebel… - Reliability Engineering & …, 2024 - Elsevier
Abstract Prognostic Health Management aims to predict the Remaining Useful Life (RUL) of
degrading components/systems utilizing monitoring data. These RUL predictions form the …

Value of information analysis in non-stationary stochastic decision environments: A reliability-assisted POMDP approach

C Song, C Zhang, A Shafieezadeh, R Xiao - Reliability Engineering & …, 2022 - Elsevier
Optimal management of systems over their service life as they face a multitude of
uncertainties remains a significant challenge. While additional information can reduce …

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 …

A probabilistic framework for the resilience assessment of transport infrastructure systems via structural health monitoring and control based on a cost function …

M Domaneschi, R Cucuzza, L Martinelli… - Structure and …, 2024 - Taylor & Francis
The essential role of transport infrastructure systems for economic development, territorial
cohesion and social transformation is widely recognized. However, key structural …