Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review
Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …
reached their design lifetime. While contact-based measurement techniques are challenging …
Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine
T Han, W ** an interpretable neural network with discretized weights
Remaining useful life predictions depend on the quality of health indicators (HIs) generated
from condition monitoring sensors, evaluated by predefined prognostic metrics such as …
from condition monitoring sensors, evaluated by predefined prognostic metrics such as …
Online unsupervised optimization framework for machine performance assessment based on distance metric learning
Abstract Machine performance assessment is of great significance to machine health
management, whose major tasks are incipient fault detection in a normal stage and …
management, whose major tasks are incipient fault detection in a normal stage and …
Vibration optimization of cantilevered bistable composite shells based on machine learning
C Wu, R Zhang, F Tang, M Fan - Engineering Applications of Artificial …, 2023 - Elsevier
Bistable composite shells with high storage efficiency have great potential applications in
deployable space structures. This paper proposes a constrained vibration optimization …
deployable space structures. This paper proposes a constrained vibration optimization …