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 …

Review of advances in tool condition monitoring techniques in the milling process

T Mohanraj, ES Kirubakaran… - Measurement …, 2024 - iopscience.iop.org
Milling is an extremely adaptable process that can be utilized to fabricate a wide range of
shapes and intricate 3D geometries. The versatility of the milling process renders it useful for …

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 …

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 …

Few-shot GAN: Improving the performance of intelligent fault diagnosis in severe data imbalance

Z Ren, Y Zhu, Z Liu, K Feng - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In severe data imbalance scenarios, fault samples are generally scarce, challenging the
health management of industrial machinery significantly. Generative adversarial network …

A novel vibration indicator to monitor gear natural fatigue pitting propagation

K Feng, JC Ji, Q Ni, H Yun… - Structural Health …, 2023 - journals.sagepub.com
Fatigue pitting can reduce the gear surface durability and induce other severe failures,
which will eventually lead to the complete loss of transmission function of the transmission …

A cyclostationarity-based wear monitoring framework of spur gears in intelligent manufacturing systems

K Feng, Q Ni, Y Chen, J Ge… - Structural Health …, 2023 - journals.sagepub.com
The gearbox is widely applied as the mechanical transmission system of intelligent
manufacturing systems, such as machine tools and robotics. The harsh working …

A novel acoustic emission signal segmentation network for bearing fault fingerprint feature extraction under varying speed conditions

Z Liu, H Li, J Lin, J Jiao, T Shen, B Zhang… - Engineering Applications of …, 2023 - Elsevier
The acoustic emission (AE) technique is known for its sensitivity to early damage and is well-
suited for online condition monitoring of rolling element bearings (REBs) in various industrial …

Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis

H Ren, J Wang, W Huang, X Jiang, Z Zhu - Engineering Applications of …, 2023 - Elsevier
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 …