[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 …
Recent trends and challenges in predictive maintenance of aircraft's engine and hydraulic system
Predictive maintenance (PM) strategies are based on real-time data for diagnosis of
impending failure and prognosis of machine health. It is a proactive process, which needs …
impending failure and prognosis of machine health. It is a proactive process, which needs …
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit
Abstract Remaining Useful Life (RUL) estimation is a fundamental task in the prognostic and
health management (PHM) of industrial equipment and systems. To this end, we propose a …
health management (PHM) of industrial equipment and systems. To this end, we propose a …
Artificial intelligence in prognostics and health management of engineering systems
S Ochella, M Shafiee, F Dinmohammadi - Engineering Applications of …, 2022 - Elsevier
Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …
management of engineering systems and structures, where sensor hardware and decision …
Approach for fault prognosis using recurrent neural network
Q Wu, K Ding, B Huang - Journal of Intelligent Manufacturing, 2020 - Springer
In general, fault prognosis research usually leads to the research of remaining useful life
prediction and performance prediction (prediction of target feature), which can be regarded …
prediction and performance prediction (prediction of target feature), which can be regarded …
Prognosis of bearing failures using hidden Markov models and the adaptive neuro-fuzzy inference system
Prognostics and health management (PHM) play a key role in increasing the reliability and
safety of systems especially in key sectors (military, aeronautical, aerospace, nuclear, etc.) …
safety of systems especially in key sectors (military, aeronautical, aerospace, nuclear, etc.) …
[HTML][HTML] The application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunities
This paper aims to discuss the importance and the necessity of reasoning applications in the
field of Aerospace Integrated Vehicle Health Management (IVHM). A fully functional IVHM …
field of Aerospace Integrated Vehicle Health Management (IVHM). A fully functional IVHM …
Diagnostics and prognostics for complex systems: A review of methods and challenges
M Soleimani, F Campean… - Quality and Reliability …, 2021 - Wiley Online Library
Diagnostics and prognostics have a significant role in the reliability enhancement of systems
and are focused topics of active research. Engineered systems are becoming more complex …
and are focused topics of active research. Engineered systems are becoming more complex …
Machine condition change detection based on data segmentation using a three-regime, α-stable Hidden Markov Model
An adaptation of HMM for signal segmentation is proposed. It is developed for Health Index
(HI) data, which behave in different ways depending on machine condition. HI can be …
(HI) data, which behave in different ways depending on machine condition. HI can be …
Health monitoring system for autonomous vehicles using dynamic Bayesian networks for diagnosis and prognosis
Autonomous Vehicles have the potential to change the urban transport scenario. However,
to be able to safely navigate autonomously they need to deal with faults that its components …
to be able to safely navigate autonomously they need to deal with faults that its components …