Digital twin-driven remaining useful life prediction for gear performance degradation: A review

B He, L Liu, D Zhang - Journal of Computing and …, 2021 - asmedigitalcollection.asme.org
As a transmission component, the gear has been obtained widespread attention. The
remaining useful life (RUL) prediction of gear is critical to the prognostics health …

Digital twin-driven intelligent assessment of gear surface degradation

K Feng, JC Ji, Y Zhang, Q Ni, Z Liu, M Beer - Mechanical Systems and …, 2023 - Elsevier
Gearbox has a compact structure, a stable transmission capability, and a high transmission
efficiency. Thus, it is widely applied as a power transmission system in various applications …

A novel transfer gear life prediction method by the cross-condition health indicator and nested hierarchical binary-valued network

D Chen, W Cai, H Yu, F Wu, Y Qin - Reliability Engineering & System Safety, 2023 - Elsevier
As one of the crucial techniques in prognostics and health management, the long-term
remaining useful life (RUL) prediction of gears is essential for maintenance decisions in …

Transfer life prediction of gears by cross-domain health indicator construction and multi-hierarchical long-term memory augmented network

D Chen, Y Qin, Q Qian, Y Wang, F Liu - Reliability Engineering & System …, 2023 - Elsevier
The long-term remaining useful life (RUL) prediction of gears is crucial for the safe operation
and maintenance of rotating machinery. However, most existing RUL prediction methods …

Long-term gear life prediction based on ordered neurons LSTM neural networks

H Yan, Y Qin, S Xiang, Y Wang, H Chen - Measurement, 2020 - Elsevier
Gear failure may affect the operation of mechanical equipment, and even cause the
catastrophic break of machine and even casualties. Thus, the remaining useful life (RUL) …

An intelligent prognostic system for gear performance degradation assessment and remaining useful life estimation

D Wang, Q Miao, Q Zhou… - … of Vibration and …, 2015 - asmedigitalcollection.asme.org
Gears are widely used in machines to transmit torque from one shaft to another shaft and to
change the speed of a power source. Gear failure is one of the major causes for mechanical …

Macroscopic–microscopic attention in LSTM networks based on fusion features for gear remaining life prediction

Y Qin, S Xiang, Y Chai, H Chen - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In the mechanical transmission system, the gear is one of the most widely used transmission
components. The failure of the gear will cause serious accidents and huge economic loss …

A digital twin-driven hybrid approach for the prediction of performance degradation in transmission unit of CNC machine tool

X Yang, Y Ran, G Zhang, H Wang, Z Mu… - Robotics and Computer …, 2022 - Elsevier
Precision performance prediction of transmission system is considered as a key technology
to modern equipment health management. Given the importance of maintaining a …

LSTM networks based on attention ordered neurons for gear remaining life prediction

S Xiang, Y Qin, C Zhu, Y Wang, H Chen - ISA transactions, 2020 - Elsevier
Gear is a commonly-used rotating part in industry, it is of great significance to predict its
failure in advance, which is helpful to maintain the health of the whole machine. Firstly, the …

Dual-thread gated recurrent unit for gear remaining useful life prediction

J Zhou, Y Qin, J Luo, S Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Remaining useful life (RUL) prediction can provide a foundation for the operation and
maintenance of industrial equipment. In order to improve the predictive ability for the …