Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective
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 …
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
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 …
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
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 …
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …
Hydrogenerator early fault detection: Sparse dictionary learning jointly with the variational autoencoder
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 …
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
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 …
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 …
(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 …
engineering, because of its ease of use, reliability and maintainability. From the perspective …
Adaptive spatio-temporal graph information fusion for remaining useful life prediction
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 …
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
Downhole tools are complex electro-mechanical systems that perform critical functions in
drilling operations. The electronics within these systems provide vital support, such as …
drilling operations. The electronics within these systems provide vital support, such as …
Unlocking maintenance insights in industrial text through semantic search
Abstract Maintenance records in Computerized Maintenance Management Systems
(CMMS) contain valuable human knowledge on maintenance activities. These records …
(CMMS) contain valuable human knowledge on maintenance activities. These records …