Fatigue modeling using neural networks: A comprehensive review
Neural network (NN) models have significantly impacted fatigue‐related engineering
communities and are expected to increase rapidly due to the recent advancements in …
communities and are expected to increase rapidly due to the recent advancements in …
[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 digital twin-driven hybrid approach for the prediction of performance degradation in transmission unit of CNC machine tool
X Yang, Y Ran, G Zhang, H Wang, Z Mu… - Robotics and Computer …, 2022 - Elsevier
Precision performance prediction of transmission system is considered as a key technology
to modern equipment health management. Given the importance of maintaining a …
to modern equipment health management. Given the importance of maintaining a …
A summary of fault modelling and predictive health monitoring of rolling element bearings
I El-Thalji, E Jantunen - Mechanical systems and signal processing, 2015 - Elsevier
The rolling element bearing is one of the most critical components that determine the
machinery health and its remaining lifetime in modern production machinery. Robust …
machinery health and its remaining lifetime in modern production machinery. Robust …
Practical options for selecting data-driven or physics-based prognostics algorithms with reviews
This paper is to provide practical options for prognostics so that beginners can select
appropriate methods for their fields of application. To achieve this goal, several popular …
appropriate methods for their fields of application. To achieve this goal, several popular …
A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction
Remaining useful life prediction is one of the key requirements in prognostics and health
management. While a system or component exhibits degradation during its life cycle, there …
management. While a system or component exhibits degradation during its life cycle, there …
IoT based predictive maintenance management of medical equipment
Technological advancements are the main drivers of the healthcare industry as it has a high
impact on delivering the best patient care. Recent years witnessed unprecedented growth in …
impact on delivering the best patient care. Recent years witnessed unprecedented growth in …
Using hybrid physics-informed neural networks to predict lifetime under multiaxial fatigue loading
J Halamka, M Bartošák, M Španiel - Engineering Fracture Mechanics, 2023 - Elsevier
In this article, a machine learning approach is utilized to predict lifetime under multiaxial
fatigue loading. A novel hybrid physics-informed neural network is proposed, where a …
fatigue loading. A novel hybrid physics-informed neural network is proposed, where a …
A probabilistic fatigue life prediction for adhesively bonded joints via ANNs-based hybrid model
KR Lyathakula, FG Yuan - International Journal of Fatigue, 2021 - Elsevier
The paper is aimed at developing an efficient and robust probabilistic fatigue life prediction
framework for adhesively bonded joints. This framework calibrates the fatigue life model by …
framework for adhesively bonded joints. This framework calibrates the fatigue life model by …
Data-driven fatigue crack quantification and prognosis using nonlinear ultrasonic modulation
In this study, an online monitoring technique for continuous fatigue crack quantification and
remaining fatigue life estimation is developed for plate-like structures using nonlinear …
remaining fatigue life estimation is developed for plate-like structures using nonlinear …