A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …
attention because of its promise to further optimize process design, quality control, health …
Dynamic modeling of gearbox faults: A review
Gearbox is widely used in industrial and military applications. Due to high service load,
harsh operating conditions or inevitable fatigue, faults may develop in gears. If the gear …
harsh operating conditions or inevitable fatigue, faults may develop in gears. If the gear …
Dual-aspect self-attention based on transformer for remaining useful life prediction
Z Zhang, W Song, Q Li - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Remaining useful life (RUL) prediction is one of the key technologies of condition-based
maintenance (CBM), which is important to maintain the reliability and safety of industrial …
maintenance (CBM), which is important to maintain the reliability and safety of industrial …
A novel gear fatigue monitoring indicator and its application to remaining useful life prediction for spur gear in intelligent manufacturing systems
With the material degradation of gear over its service lifespan, the gearbox is prone to
fatigue, especially under harsh working environments. The interaction between gear fatigue …
fatigue, especially under harsh working environments. The interaction between gear fatigue …
Remaining useful life prediction using a novel feature-attention-based end-to-end approach
Deep learning plays an increasingly important role in industrial applications, such as the
remaining useful life (RUL) prediction of machines. However, when dealing with multifeature …
remaining useful life (RUL) prediction of machines. However, when dealing with multifeature …
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 …
High precision reducers for industrial robots driving 4th industrial revolution: state of arts, analysis, design, performance evaluation and perspective
AD Pham, HJ Ahn - International journal of precision engineering and …, 2018 - Springer
New industrial revolution-“The 4th industrial revolution” must be a remarkable milestone for
the second decade of the twenty-first century. Many countries are competing to innovate …
the second decade of the twenty-first century. Many countries are competing to innovate …
Imbalanced data based fault diagnosis of the chiller via integrating a new resampling technique with an improved ensemble extreme learning machine
H Zhang, W Yang, W Yi, JB Lim, Z An, C Li - Journal of Building …, 2023 - Elsevier
Fault diagnosis of the chiller is essential to guarantee chiller's safe operation and reduce
building energy consumption. However, the existing fault diagnosis methods rarely consider …
building energy consumption. However, the existing fault diagnosis methods rarely consider …
Bayesian gated-transformer model for risk-aware prediction of aero-engine remaining useful life
Abstract Remaining Useful Life (RUL) prediction plays a critical role in the prognostics and
health management (PHM) for aero-engines. A variety of Deep Learning (DL) approaches …
health management (PHM) for aero-engines. A variety of Deep Learning (DL) approaches …
Planetary gears feature extraction and fault diagnosis method based on VMD and CNN
C Liu, G Cheng, X Chen, Y Pang - Sensors, 2018 - mdpi.com
Given local weak feature information, a novel feature extraction and fault diagnosis method
for planetary gears based on variational mode decomposition (VMD), singular value …
for planetary gears based on variational mode decomposition (VMD), singular value …