A review on vibration-based condition monitoring of rotating machinery

M Tiboni, C Remino, R Bussola, C Amici - Applied Sciences, 2022 - mdpi.com
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

Cepstrum-assisted empirical wavelet transform (CEWT)-based improved demodulation analysis for fault diagnostics of planetary gearboxes

Y Kim, JM Ha, K Na, J Park, BD Youn - Measurement, 2021 - Elsevier
Demodulation analysis is a widely used approach for fault diagnostics of planetary
gearboxes by identifying the fault-induced modulation effect buried in noise with …

Benefits of enhanced techniques combining negentropy, spectral correlation and kurtogram for bearing fault diagnosis

MA Ugwiri, M Carratú, V Paciello, C Liguori - Measurement, 2021 - Elsevier
In condition monitoring based on vibrations for rotating machines fault detection, one of the
typical symptoms is the presence of repetitive transients, which are characterized by …

Fault diagnosis of wind turbine gearbox based on multiscale residual features and ECA-stacked ResNet

X Yin, Z Mou, Y Wang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In the fault diagnosis of a wind turbine planetary, the use of multiscale features (MFs) in high
scales cannot comprehensively describe fault information. This limitation generally leads to …

Motor current model for detecting localized defects in planet rolling bearings

Q Han, Z Jiang, Y Kong, T Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A motor current model for the diagnosis of localized defects in planet rolling bearings (PRBs)
is proposed in this study. A dynamic analysis of the motor-driven planetary gearbox system …

[HTML][HTML] An anomalous frequency band identification method utilising available healthy historical data for gearbox fault detection

S Schmidt, KC Gryllias - Measurement, 2023 - Elsevier
Informative frequency band identification methods are used to automatically design
bandpass filters to enhance fault signatures in vibration measurements. Blind and targeted …

Detection of gear wear and faults in spur gear systems using statistical parameters and univariate statistical process control charts

S Maraş, H Arslan, B Birgören - Arabian Journal for Science and …, 2021 - Springer
In this study, the detection of wear faults in spur gears was examined using vibration
analysis, statistical process control method, and statistical parameters. For this purpose, a …

Development of a test plan and a testbed for performance analysis of MEMS-based IMUs under vibration conditions

D Capriglione, M Carratù, M Catelani, L Ciani, G Patrizi… - Measurement, 2020 - Elsevier
Abstract Micro-Electro-Mechanical Systems (MEMS) are today widespread in many
industrial and consumer applications. In the field of terrestrial transportation, cellular …

An engine fault detection method based on the deep echo state network and improved multi-verse optimizer

X Li, F Bi, L Zhang, X Yang, G Zhang - Energies, 2022 - mdpi.com
This paper aims to develop an efficient pattern recognition method for engine fault end-to-
end detection based on the echo state network (ESN) and multi-verse optimizer (MVO) …

Performance analysis of MEMS-based inertial measurement units in terrestrial vehicles

D Capriglione, M Carratù, M Catelani, L Ciani, G Patrizi… - Measurement, 2021 - Elsevier
In the recent period, Inertial Measurement Units (IMUs) are widely employed in many
applications, such as smartphones, robotics, Unmanned Aerial vehicles, automotive and self …