Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
As failure data is usually scarce in practice upon preventive maintenance strategy in
prognostics and health management (PHM) domain, transfer learning provides a …
prognostics and health management (PHM) domain, transfer learning provides a …
Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis …
C He, H Shi, R Li, J Li, ZJ Yu - arXiv preprint arXiv:2406.11917, 2024 - arxiv.org
The service conditions of wheelset bearings has a direct impact on the safe operation of
railway heavy haul freight trains as the key components. However, speed fluctuation of the …
railway heavy haul freight trains as the key components. However, speed fluctuation of the …
Modulated differentiable STFT and balanced spectrum metric for freight train wheelset bearing cross-machine transfer monitoring under speed fluctuations
C He, H Shi, R Li, J Li, ZJ Yu - Advanced Engineering Informatics, 2024 - Elsevier
The service conditions of wheelset bearings has a direct impact on the safe operation of
railway heavy haul freight trains as the key components. However, speed fluctuation of the …
railway heavy haul freight trains as the key components. However, speed fluctuation of the …
Integrating intrinsic information: A novel open set domain adaptation network for cross-domain fault diagnosis with multiple unknown faults
Y Zhang, H Zhang, B Chen, J Zheng, H Pan - Knowledge-Based Systems, 2024 - Elsevier
Existing popular domain adaptation approaches typically assume that the source and target
domains share the same label set. However, in industrial scenarios, the equipment may …
domains share the same label set. However, in industrial scenarios, the equipment may …
[HTML][HTML] Lightweight Ghost Enhanced Feature Attention Network: An Efficient Intelligent Fault Diagnosis Method under Various Working Conditions
H Dong, K Zheng, S Wen, Z Zhang, Y Li, B Zhu - Sensors, 2024 - mdpi.com
Recent advancements in applications of deep neural network for bearing fault diagnosis
under variable operating conditions have shown promising outcomes. However, these …
under variable operating conditions have shown promising outcomes. However, these …
Dual-angle Mueller Matrix Polarimetry For Single Cell
Label-free single-cell analysis plays a crucial role in the biomedical field. In this paper, we
propose a dual-angle Mueller matrix polarization (DMMP) measurement system for the label …
propose a dual-angle Mueller matrix polarization (DMMP) measurement system for the label …
[HTML][HTML] Enhancing Fault Diagnosis in Mechanical Systems with Graph Neural Networks Addressing Class Imbalance
W Lu, W Wang, X Qin, Z Cai - Mathematics, 2024 - mdpi.com
Recent advancements in intelligent diagnosis rely heavily on data-driven methods.
However, these methods often encounter challenges in adequately addressing class …
However, these methods often encounter challenges in adequately addressing class …
An improved envelope spectrum via Hoyer index-gram for bearing fault extraction
T Tian, G Tang, X Wang, J Sun - Measurement Science and …, 2024 - iopscience.iop.org
Resonance demodulation is one of the most commonly used methods in rolling bearing fault
diagnosis, yet determining the optimal demodulation band has been a significant challenge …
diagnosis, yet determining the optimal demodulation band has been a significant challenge …
Drill tools sticking prediction based on adaptive long short-term memory
H Wu, Z Wang, L Si, X Zou - Measurement Science and …, 2024 - iopscience.iop.org
As one of the most severe disasters in deep coal mining, rockburst can be prevented
through drill-hole pressure relief. However, the coal mine is characterized by high crustal …
through drill-hole pressure relief. However, the coal mine is characterized by high crustal …