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 …
A review of wind turbine bearing condition monitoring: State of the art and challenges
HDM de Azevedo, AM Araújo… - … and Sustainable Energy …, 2016 - Elsevier
Since the early 1980s, wind power technology has experienced an immense growth with
respect to both the turbine size and market share. As the demand for large-scale wind …
respect to both the turbine size and market share. As the demand for large-scale wind …
An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis
Rolling element bearings are critical components in industrial rotating machines. Faults and
failures of bearings can cause degradation of machine performance or even a catastrophe …
failures of bearings can cause degradation of machine performance or even a catastrophe …
Overview of dynamic modelling and analysis of rolling element bearings with localized and distributed faults
J Liu, Y Shao - Nonlinear Dynamics, 2018 - Springer
Rolling element bearings (REBs) play a most critical role in various industrial machinery. A
clearly and in-depth understanding of vibration characteristics of REBs is very helpful for …
clearly and in-depth understanding of vibration characteristics of REBs is very helpful for …
Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy
X Chen, Y Yang, Z Cui, J Shen - Energy, 2019 - Elsevier
The bearing vibration of wind turbines is nonlinear and non-stationary. To effectively extract
bearing vibration signal features for fault diagnosis, a method of feature vector extraction …
bearing vibration signal features for fault diagnosis, a method of feature vector extraction …
A comparative study of various methods of bearing faults diagnosis using the case Western Reserve University data
Bearing is probably one of the most critical components of rotating machinery. They are
employed to guide and support the shafts in rotating machinery. Therefore, any fault in the …
employed to guide and support the shafts in rotating machinery. Therefore, any fault in the …
Towards automated, integrated and unsupervised diagnosis of rolling element bearings
Y Jin, G Xin, J Antoni - Mechanical Systems and Signal Processing, 2023 - Elsevier
In the presence of faults, vibrations of rolling element bearings show symptomatic signatures
in the form of repetitive impulses. This can be seen as a non-stationary signal whose …
in the form of repetitive impulses. This can be seen as a non-stationary signal whose …
Vibration analysis techniques for rotating machinery and its effect on bearing faults
A Khadersab, S Shivakumar - Procedia Manufacturing, 2018 - Elsevier
Area of application of rotating machinery in day to day life, and for industrial use in
manufacturing and processes, nuclear power station, automobile, oil & gas refinery etc has …
manufacturing and processes, nuclear power station, automobile, oil & gas refinery etc has …
Fault diagnosis of rotary machines using deep convolutional neural network with wide three axis vibration signal input
Fault diagnosis is considered as an essential task in rotary machinery as possibility of an
early detection and diagnosis of the faulty condition can save both time and money. This …
early detection and diagnosis of the faulty condition can save both time and money. This …
Role of signal processing, modeling and decision making in the diagnosis of rolling element bearing defect: a review
A significant development in condition monitoring techniques has been observed over the
years. The scope of condition monitoring has been shifted from defect identification to its …
years. The scope of condition monitoring has been shifted from defect identification to its …