Augmented data driven self-attention deep learning method for imbalanced fault diagnosis of the HVAC chiller
C Shen, H Zhang, S Meng, C Li - Engineering Applications of Artificial …, 2023 - Elsevier
The chiller fault diagnosis is of great significance to maintain the normal operation of the
HVAC system and indoor comfort. Due to the difficulty in collecting the chiller's fault data, we …
HVAC system and indoor comfort. Due to the difficulty in collecting the chiller's fault data, we …
Machine learning for the control and monitoring of electric machine drives: Advances and trends
S Zhang, O Wallscheid… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
This review article systematically summarizes the existing literature on utilizing machine
learning (ML) techniques for the control and monitoring of electric machine drives. It is …
learning (ML) techniques for the control and monitoring of electric machine drives. It is …
Attention gate guided multiscale recursive fusion strategy for deep neural network-based fault diagnosis
Rolling bearings are crucial for ensuring the safe and stable operation of electromechanical
systems. Although deep learning has been widely used in fault diagnosis of rolling bearings …
systems. Although deep learning has been widely used in fault diagnosis of rolling bearings …
Multi-sensor signals multi-scale fusion method for fault detection of high-speed and high-power diesel engine under variable operating conditions
J Liang, Z Mao, F Liu, X Kong, J Zhang… - Engineering Applications of …, 2023 - Elsevier
Detecting faults in high-speed and high-power diesel engines under complex variable
operating conditions is highly challenging. Online vibration monitoring systems have been …
operating conditions is highly challenging. Online vibration monitoring systems have been …
Fusion of theory and data-driven model in hot plate rolling: A case study of rolling force prediction
Z Dong, X Li, F Luan, L Meng, J Ding… - Expert Systems with …, 2024 - Elsevier
As one of the most critical variables in the hot rolling process, the accuracy of rolling force
prediction is directly associated with production stability and product quality. Purely data …
prediction is directly associated with production stability and product quality. Purely data …
An efficient diagnostic strategy for intermittent faults in electronic circuit systems by enhancing and locating local features of faults
Z Jia, S Wang, K Zhao, Z Li, Q Yang… - … Science and Technology, 2023 - iopscience.iop.org
Due to their short duration, concealability, and random occurrence, intermittent faults have
become the most dangerous hazard in electronic circuit systems. However, existing …
become the most dangerous hazard in electronic circuit systems. However, existing …
A digital twin-driven approach for partial domain fault diagnosis of rotating machinery
Artificial intelligence (AI)-driven fault diagnosis methods are crucial for ensuring rotating
machinery's safety and effective operation. The success of most current methods relies on …
machinery's safety and effective operation. The success of most current methods relies on …
Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis
Machinery fault diagnosis based on deep learning methods is cost-effective to guarantee
safety and reliability of mechanical systems. Due to the variability of machinery working …
safety and reliability of mechanical systems. Due to the variability of machinery working …
Fault detection in the gas turbine of the Kirkuk power plant: An anomaly detection approach using DLSTM-Autoencoder
Developing a maintenance schedule for different parts of a power plant can help to prevent
serious system damage while also having a direct effect on reducing maintenance time and …
serious system damage while also having a direct effect on reducing maintenance time and …
An adaptive imbalance modified online broad learning system-based fault diagnosis for imbalanced chemical process data stream
J Men, C Zhao - Expert Systems with Applications, 2023 - Elsevier
Modern chemical process industry is becoming larger and more complicated to achieve a
higher level of technical functionality. There is less tolerance for functional degeneration …
higher level of technical functionality. There is less tolerance for functional degeneration …