A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings

Z Liu, L Zhang - Measurement, 2020 - Elsevier
Large-scale wind turbine bearings including main bearings, gearbox bearings, generator
bearings, blade bearings and yaw bearings, are critical components for wind turbines to …

A summary of fault modelling and predictive health monitoring of rolling element bearings

I El-Thalji, E Jantunen - Mechanical systems and signal processing, 2015 - Elsevier
The rolling element bearing is one of the most critical components that determine the
machinery health and its remaining lifetime in modern production machinery. Robust …

A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery

A Cubillo, S Perinpanayagam… - Advances in …, 2016 - journals.sagepub.com
Health condition monitoring for rotating machinery has been developed for many years due
to its potential to reduce the cost of the maintenance operations and increase availability …

Correlation between features of acoustic emission signals and mechanical wear mechanisms

A Hase, H Mishina, M Wada - Wear, 2012 - Elsevier
The recognition of wear mechanisms is important for effective maintenance of dynamic
machinery, because the selection of an appropriate maintenance solution is dependent on …

Electrostatic sensors–Their principles and applications

Y Yan, Y Hu, L Wang, X Qian, W Zhang, K Reda, J Wu… - Measurement, 2021 - Elsevier
Over the past three decades electrostatic sensors have been proposed, developed and
utilised for the continuous monitoring and measurement of a range of industrial processes …

Using acoustic emission to characterize friction and wear in dry sliding steel contacts

Z Geng, D Puhan, T Reddyhoff - Tribology International, 2019 - Elsevier
Acoustic emission (AE) was recorded during tribological tests on 52,100 steel specimens
under different loads. AE signals were transformed to the frequency domain using a Fast …

[HTML][HTML] Acoustic emission and machine learning based classification of wear generated using a pin-on-disc tribometer equipped with a digital holographic …

P Deshpande, V Pandiyan, B Meylan, K Wasmer - Wear, 2021 - Elsevier
The efficiency of processes involving frictional contacts between surfaces is often
characterized by wear rates or friction coefficients. However, the classification and …

Experimental investigation on acoustic emission in fretting friction and wear of bolted joints

J Sun, H Yang, D Li, C Xu - Journal of Sound and Vibration, 2023 - Elsevier
Fretting between bolted interfaces may change the dynamic characteristics of structures
under vibration loading. The acoustic emission (AE) technique has been successfully used …

Modelling acoustic emissions generated by sliding friction

Y Fan, F Gu, A Ball - Wear, 2010 - Elsevier
Acoustic emission analysis is an effective diagnostic method in modern tribo-monitoring.
Many experimental studies have been conducted to investigate the relationship between AE …

Self-powered artificial joint wear debris sensor based on triboelectric nanogenerator

Y Liu, W Zhao, G Liu, T Bu, Y Xia, S Xu, C Zhang… - Nano Energy, 2021 - Elsevier
Replacing the diseased joints with artificial prostheses has long been a common medical
mean to alleviate pain or disability, in which the wear debris-induced aseptic loosening is …