A review of vibration-based gear wear monitoring and prediction techniques

K Feng, JC Ji, Q Ni, M Beer - Mechanical Systems and Signal Processing, 2023 - Elsevier
Gearbox plays a vital role in a wide range of mechanical power transmission systems in
many industrial applications, including wind turbines, vehicles, mining and material handling …

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 …

Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing

Y Zhang, JC Ji, Z Ren, Q Ni, F Gu, K Feng, K Yu… - Reliability Engineering & …, 2023 - Elsevier
Fault diagnosis of rolling bearings has attracted extensive attention in industrial fields, which
plays a vital role in guaranteeing the reliability, safety, and economical efficiency of …

A novel vibration-based prognostic scheme for gear health management in surface wear progression of the intelligent manufacturing system

K Feng, JC Ji, Q Ni, Y Li, W Mao, L Liu - Wear, 2023 - Elsevier
Gearbox has a compact structure, a stable transmission capability, and high transmission
efficiency. Thus, it is widely applied and used as a critical transmission system in intelligent …

Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning

Y Zhang, K Yu, Z Lei, J Ge, Y Xu, Z Li, Z Ren… - Expert Systems with …, 2023 - Elsevier
Offshore wind turbines play a vital role in transferring wind energy to electricity, which could
help relieve the energy crisis and improve the global climate. In general, offshore wind …

[HTML][HTML] A hybrid prognosis scheme for rolling bearings based on a novel health indicator and nonlinear Wiener process

J Guo, Z Wang, H Li, Y Yang, CG Huang… - Reliability Engineering & …, 2024 - Elsevier
This paper proposes a novel hybrid method aiming at the fault prognosis of bearings. A
nonlinear health indicator (HI) is first constructed using Complete Ensemble Empirical Mode …

A novel gear fatigue monitoring indicator and its application to remaining useful life prediction for spur gear in intelligent manufacturing systems

K Feng, JC Ji, Q Ni - International Journal of Fatigue, 2023 - Elsevier
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 …

Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective

J Zhang, J Tian, P Yan, S Wu, H Luo, S Yin - Reliability Engineering & …, 2024 - Elsevier
Accurate remaining useful life (RUL) prediction has gained increasing attention in modern
maintenance management. Considering the data privacy requirements of distributed multi …

A novel order spectrum-based Vold-Kalman filter bandwidth selection scheme for fault diagnosis of gearbox in offshore wind turbines

K Feng, JC Ji, K Wang, D Wei, C Zhou, Q Ni - Ocean Engineering, 2022 - Elsevier
Vold-Kalman order tracking filter is an effective technique for dealing with non-stationary
vibrations which offshore wind turbines often encounter. It has a unique capability to extract …

A novel health indicator for intelligent prediction of rolling bearing remaining useful life based on unsupervised learning model

Z Xu, M Bashir, Q Liu, Z Miao, X Wang, J Wang… - Computers & Industrial …, 2023 - Elsevier
Construction of an intelligent Health Indicator (HI) that can accurately describe the
degradation process is a prerequisite to accelerating the development of an automatic …