Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective

X Zhao, Y Fang, H Min, X Wu, W Wang… - Expert Systems with …, 2023 - Elsevier
Outstanding steps towards intelligent transportation systems with autonomous vehicles have
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …

[HTML][HTML] Advances in Integrated System Health Management for mission-essential and safety-critical aerospace applications

K Ranasinghe, R Sabatini, A Gardi, S Bijjahalli… - Progress in Aerospace …, 2022 - Elsevier
Abstract Integrated System Health Management (ISHM) is a promising technology that fuses
sensor data and historical state-of-health information of components and subsystems to …

A systematic literature review of predictive maintenance for defence fixed-wing aircraft sustainment and operations

MJ Scott, WJC Verhagen, MT Bieber, P Marzocca - Sensors, 2022 - mdpi.com
In recent decades, the increased use of sensor technologies, as well as the increase in
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …

Hydrogenerator early fault detection: Sparse dictionary learning jointly with the variational autoencoder

R Zemouri, R Ibrahim, A Tahan - Engineering Applications of Artificial …, 2023 - Elsevier
Monitoring the continuous health status of a Hydraulic Turbine Generator Unit (HTGU) is a
strategic task to prevent any unexpected downtime. In addition to the loss of energy …

A review of physics-based models in prognostics and health management of laminated composite structures

A Khan, MM Azad, M Sohail, HS Kim - International Journal of Precision …, 2023 - Springer
This article reports on the physics-based models for the diagnosis (detection, isolation,
localization, and quantification of damages) and prognosis (prediction of the future evolution …

An improved generic hybrid prognostic method for RUL prediction based on PF-LSTM learning

K Xue, J Yang, M Yang, D Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate estimation and prediction of the state-of-health (SOH) and remaining useful life
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …

A health performance evaluation method of multirotors under wind turbulence

Z Zhao, X Wang, P Yao, Y Bai - Nonlinear Dynamics, 2020 - Springer
As an unmanned system, the multirotor has gained widespread attention in practical aviation
engineering, because of its ease of use, reliability and maintainability. From the perspective …

Adaptive spatio-temporal graph information fusion for remaining useful life prediction

Y Zhang, Y Li, Y Wang, Y Yang, X Wei - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Accurate remaining useful life (RUL) prediction is of great significance for maintaining the
safety and reliability of many industrial systems. In recent years, deep learning based …

AI-driven maintenance support for downhole tools and electronics operated in dynamic drilling environments

L Kirschbaum, D Roman, G Singh, J Bruns… - IEEE …, 2020 - ieeexplore.ieee.org
Downhole tools are complex electro-mechanical systems that perform critical functions in
drilling operations. The electronics within these systems provide vital support, such as …

Unlocking maintenance insights in industrial text through semantic search

SMR Naqvi, M Ghufran, C Varnier, JM Nicod… - Computers in …, 2024 - Elsevier
Abstract Maintenance records in Computerized Maintenance Management Systems
(CMMS) contain valuable human knowledge on maintenance activities. These records …