[HTML][HTML] A review on vibration-based condition monitoring of rotating machinery
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …
functioning states are related to specific patterns that can be extracted from vibration signals …
A review on data-driven fault severity assessment in rolling bearings
Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in
industrial processes. In particular, bearings are mechanical components used in most …
industrial processes. In particular, bearings are mechanical components used in most …
[HTML][HTML] Review of vibration-based structural health monitoring using deep learning
G Toh, J Park - Applied Sciences, 2020 - mdpi.com
With the rapid progress in the deep learning technology, it is being used for vibration-based
structural health monitoring. When the vibration is used for extracting features for system …
structural health monitoring. When the vibration is used for extracting features for system …
Role of artificial intelligence in rotor fault diagnosis: A comprehensive review
Artificial intelligence (AI)-based rotor fault diagnosis (RFD) poses a variety of challenges to
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …
Improved generative adversarial network for vibration-based fault diagnosis with imbalanced data
B Zhao, Q Yuan - Measurement, 2021 - Elsevier
Effective fault diagnosis is essential for maintaining the safe running of machine systems.
Recently, the data-driven methods have shown great potential in intelligent fault diagnosis …
Recently, the data-driven methods have shown great potential in intelligent fault diagnosis …
[HTML][HTML] Basic research on machinery fault diagnostics: Past, present, and future trends
Machinery fault diagnosis has progressed over the past decades with the evolution of
machineries in terms of complexity and scale. High-value machineries require condition …
machineries in terms of complexity and scale. High-value machineries require condition …
Deep transfer learning for bearing fault diagnosis using CWT time–frequency images and convolutional neural networks
Deep transfer learning has evolved into a powerful method for defect identification,
particularly in mechanical systems that lack sufficient training data. Nonetheless, domain …
particularly in mechanical systems that lack sufficient training data. Nonetheless, domain …
Low-cost vibration sensor for condition-based monitoring manufactured from polyurethane foam
Ubiquitous vibration sensing forms a core requirement of Internet of Things (IoT)
applications in condition-based monitoring (CbM). Such sensors can enable cost savings by …
applications in condition-based monitoring (CbM). Such sensors can enable cost savings by …
[HTML][HTML] Effect of preload on the vibrations of EHL angular contact ball bearings: theoretical and experimental results
The vibrations of a shaft in rotary mechanical systems supported by angular contact ball
bearings are investigated theoretically and experimentally for various preloads in this paper …
bearings are investigated theoretically and experimentally for various preloads in this paper …
Vibration-based synchronous sampling and its application in wind-turbine drive-train-condition monitoring
T Hu, H Wan, H Luo - Clean Energy, 2021 - academic.oup.com
Utilizing shaft-speed information to analyse vibration signals is an important method for fault
diagnosis and condition monitoring of rotating machineries, especially for those running at …
diagnosis and condition monitoring of rotating machineries, especially for those running at …