Unsupervised long-term damage detection in an uncontrolled environment through optimal autoencoder

K Yang, S Kim, JB Harley - Mechanical Systems and Signal Processing, 2023 - Elsevier
Unsupervised damage detection in the presence of both regular environmental variations,
such as a daily change in temperature and humidity, and irregular environmental variations …

Improving unsupervised long-term damage detection in an uncontrolled environment through noise-augmentation strategy

K Yang, C Zhang, H Yang, L Wang, NH Kim… - … Systems and Signal …, 2025 - Elsevier
Autoencoder reconstruction-based unsupervised damage detection is widely utilized in
structural health monitoring. However, such methods typically necessitate a comprehensive …

Deep learning based ultrasonic reconstruction of rough surface morphology

Z Wang, F Shi, F Zou - Ultrasonics, 2024 - Elsevier
This paper introduces a methodology to recover the morphology of a complex rough surface
from ultrasonic pulse echo measurements with an array of equidistant sensors using the one …

Hydropower unit health assessment based on a combination weighting and improved fuzzy comprehensive evaluation method

Y Ke, Q Wang, H Xiao, Z Luo, J Li - Frontiers in Energy Research, 2023 - frontiersin.org
The health state of hydroelectric power generation units is of great significance to ensure the
stability and economy of safe operation of the power grid. In order to address the challenges …

Improved DS Evidence Theory for Regional Collaborative Guided Wave Damage Monitoring in Large-Scale Structures

Y Du, H Ning, Y Li, Q Bao, Q Wang - Available at SSRN 5105408 - papers.ssrn.com
Due to the development of new materials and advanced manufacturing technologies, the
application of large-scale composite structures has become increasingly widespread …