Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds

Y Li, L Zhang, P Liang, X Wang, B Wang… - Reliability Engineering & …, 2024 - Elsevier
In practical engineering scenarios, the operating speed of mechanical equipment is intricate
and variable. However, much of the existing research on intelligent fault diagnosis is …

Theoretical analysis and potential engineering application of an energy harvester

H Xu, S Zhou - International Journal of Mechanical Sciences, 2024 - Elsevier
The technique of energy harvesting, which captures the energy from ambient vibrations, has
received increasing attention due to its potential to power low-powered wireless sensors …

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 …

Improved shift-invariant sparse parsing of mechanical fault based on feature atom

C Han, W Lu, L Cui, L Song… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In complex operating conditions, the monitoring signals of mechanical equipment are
susceptible to interference from multiple vibration sources and environmental noise …

Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains

Z Liu, K Zhao, H Shao, J Chen, Y Wan - Expert Systems with Applications, 2024 - Elsevier
Existing domain adaptation methods typically require access to raw data from both the
source and target domains, increasing the risk of data leakage. In light of this, a fuzzy …

SRSGCN: A novel multi-sensor fault diagnosis method for hydraulic axial piston pump with limited data

P Liang, X Wang, C Ai, D Hou, S Liu - Reliability Engineering & System …, 2025 - Elsevier
Deep learning has immense potential in ensuring the safe operation of hydraulic axial piston
pumps (HAPP). However, the complex operating environment and high cost of labeling have …

Intelligent fault diagnosis of rolling bearing based on an active federated local subdomain adaptation method

X Yuan, D Shi, N Shi, Y Li, P Liang, L Zhang… - Advanced Engineering …, 2024 - Elsevier
With the significant advancement of intelligent fault diagnosis (FD) technology in recent
years, federated learning methodologies, which employ data from multiple devices for …

Few-shot fault diagnosis of axial piston pump based on prior knowledge-embedded meta learning vision transformer under variable operating conditions

S Wang, H Shuai, J Hu, J Zhang, S Liu, X Yuan… - Expert Systems with …, 2025 - Elsevier
Recent years have seen increasing researches in intelligent fault diagnosis (FD) methods
for axial piston pump (APP) based on big data owing to the rapid development of deep …

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 …

Effect of autaptic synapse on signal transmission performance of dressed Hodgkin–Huxley neuron

E Erkan, Y Erkan - Chaos, Solitons & Fractals, 2024 - Elsevier
Astrocytes, which have complex relationships with neurons, are the most important
biological arguments that support neurons in the performance of cognitive functions. Another …