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 on signal processing techniques utilized in the fault diagnosis of rolling element bearings
A Rai, SH Upadhyay - Tribology International, 2016 - Elsevier
Rolling element bearings play a crucial role in the functioning of rotating machinery.
Recently, the use of diagnostics and prognostics methodologies assisted by artificial …
Recently, the use of diagnostics and prognostics methodologies assisted by artificial …
Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification
C Lu, Z Wang, B Zhou - Advanced Engineering Informatics, 2017 - Elsevier
Rolling bearing tips are often the most susceptible to electro-mechanical system failure due
to high-speed and complex working conditions, and recent studies on diagnosing bearing …
to high-speed and complex working conditions, and recent studies on diagnosing bearing …
Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications
Condition-based maintenance via vibration signal processing plays an important role to
reduce unscheduled machine downtime and avoid catastrophic accidents in industrial …
reduce unscheduled machine downtime and avoid catastrophic accidents in industrial …
Tacholess speed estimation in order tracking: A review with application to rotating machine fault diagnosis
Order tracking (OT), which is realized by signal sampling in equal-angle increment
according to the measured rotating speed, is a powerful technique for rotating machine fault …
according to the measured rotating speed, is a powerful technique for rotating machine fault …
A review of early fault diagnosis approaches and their applications in rotating machinery
Y Wei, Y Li, M Xu, W Huang - Entropy, 2019 - mdpi.com
Rotating machinery is widely applied in various types of industrial applications. As a
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …
promising field for reliability of modern industrial systems, early fault diagnosis (EFD) …
Simulation-driven machine learning: Bearing fault classification
C Sobie, C Freitas, M Nicolai - Mechanical Systems and Signal Processing, 2018 - Elsevier
Increasing the accuracy of mechanical fault detection has the potential to improve system
safety and economic performance by minimizing scheduled maintenance and the probability …
safety and economic performance by minimizing scheduled maintenance and the probability …
Vibration analysis for large-scale wind turbine blade bearing fault detection with an empirical wavelet thresholding method
Blade bearings, also termed pitch bearings, are joint components of wind turbines, which
can slowly pitch blades at desired angles to optimize electrical energy output. The failure of …
can slowly pitch blades at desired angles to optimize electrical energy output. The failure of …
Rolling element bearing defect detection using the generalized synchrosqueezing transform guided by time–frequency ridge enhancement
Healthy rolling element bearings are vital guarantees for safe operation of the rotating
machinery. Time–frequency (TF) signal analysis is an effective tool to detect bearing defects …
machinery. Time–frequency (TF) signal analysis is an effective tool to detect bearing defects …
A new hybrid deep signal processing approach for bearing fault diagnosis using vibration signals
Signal processing is an important task for machine fault diagnosis. Over the recent years,
many deep learning based signal processing methods have been developed for bearing …
many deep learning based signal processing methods have been developed for bearing …