Skidding and cage whirling of angular contact ball bearings: Kinematic-hertzian contact-thermal-elasto-hydrodynamic model with thermal expansion and experimental …

S Gao, S Chatterton, P Pennacchi, Q Han… - Mechanical Systems and …, 2022 - Elsevier
The occurrence of skidding and overskidding behaviour is likely to scratch rolling element
raceways and lead to a significant temperature rise and thermal deformation. The ball-cage …

Condition monitoring of machine tool feed drives: A review

Q Butler, Y Ziada, D Stephenson… - Journal of …, 2022 - asmedigitalcollection.asme.org
The innovations propelling the manufacturing industry towards Industry 4.0 have begun to
maneuver into machine tools. Machine tool maintenance primarily concerns the feed drives …

Comparative study on the use of acoustic emission and vibration analyses for the bearing fault diagnosis of high-speed trains

D Hou, H Qi, H Luo, C Wang… - Structural Health …, 2022 - journals.sagepub.com
A wheel set bearing is an important supporting component of a high-speed train. Its quality
and performance directly determine the overall safety of the train. Therefore, monitoring a …

An interpretable anti-noise network for rolling bearing fault diagnosis based on FSWT

H Sun, X Cao, C Wang, S Gao - Measurement, 2022 - Elsevier
Rolling bearing fault diagnosis based on deep learning has low accuracy under strong
noise conditions and weak interpretation of the diagnosis results, which reduces the trust in …

A new compound faults detection method for rolling bearings based on empirical wavelet transform and chaotic oscillator

Y Jiang, H Zhu, Z Li - Chaos, Solitons & Fractals, 2016 - Elsevier
The rolling bearings often suffer from compound faults in practice. The concurrence of
different faults increases the fault detection difficulty and the decoupling detection of …

An early fault detection method of rotating machines based on unsupervised sequence segmentation convolutional neural network

W Song, W Shen, L Gao, X Li - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Early fault detection (EFD) is vital for mechanical systems to reduce downtime and increase
stability. The main challenge of EFD for rotating machines is to extract discriminative …

Analysis of varying contact angles and load distributions in defective angular contact ball bearing

X Li, K Yu, H Ma, L Cao, Z Luo, H Li, L Che - Engineering Failure Analysis, 2018 - Elsevier
Angular contact ball bearing (ACBB) is widely used in rotating machinery for its great
external load capacity. The operating condition of ACBB is easily affected by surrounding …

Diagnosis of stator faults of the single-phase induction motor using acoustic signals

A Glowacz, Z Glowacz - Applied Acoustics, 2017 - Elsevier
An early diagnosis of faults prevents financial loss and downtimes in the industry. In this
paper the authors presented the early fault diagnostic technique of stator faults of the single …

Thermal imaging and vibration-based multisensor fault detection for rotating machinery

O Janssens, M Loccufier… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
In order to minimize operation and maintenance costs and extend the lifetime of rotating
machinery, damaging conditions and faults should be detected early and automatically. To …

A new method for the estimation of bearing health state and remaining useful life based on the moving average cross-correlation of power spectral density

L Xu, P Pennacchi, S Chatterton - Mechanical Systems and Signal …, 2020 - Elsevier
In the broad framework of condition-based maintenance, the final objective of bearing
condition monitoring is to evaluate the health state and to estimate the remaining useful life …