Fault detection of rolling element bearings using optimal segmentation of vibrating signals

TD Popescu, D Aiordachioaie - Mechanical Systems and Signal Processing, 2019 - Elsevier
… In Section 2 we present the bearing faults categorised by … change detection and optimal
segmentation of vibrating signals… by the faults, during operation of rolling element bearings; the …

On the accuracy of fault diagnosis for rolling element bearings using improved DFA and multi-sensor data fusion method

Q Song, S Zhao, M Wang - Sensors, 2020 - mdpi.com
… of bearing fault diagnosis. (3) Using the vibration data of two sensors to improve the accuracy
of … It reflects the statistical correlation of two data points in a certain time interval and the …

Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines

RK Jha, PD Swami - Applied Acoustics, 2021 - Elsevier
… of ball bearings. The one dimensional vibration signals are converted to two … The rolling
element when crosses the local faults either at outer race or inner race produces a shock and a …

2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing

Y Guan, Z Meng, D Sun, J Liu, F Fan - Reliability Engineering & System …, 2021 - Elsevier
… Firstly, the correlation kurtosis weighted fusion rule is … containing two frequency-modulated
vibration sources (x 1 , x 2 ) … of rolling elements. D represents the pitch diameter of the …

Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum

L Xu, S Chatterton, P Pennacchi - Mechanical Systems and Signal …, 2021 - Elsevier
… are two important main points for bearing fault diagnosis, … The feasibility of bearing fault
diagnosis using vibration signals … weighted correlation is used to assess the correlation of two sub…

Graph modeling of singular values for early fault detection and diagnosis of rolling element bearings

X Wen, G Lu, J Liu, P Yan - Mechanical Systems and Signal Processing, 2020 - Elsevier
… into account the inter-correlation of all singular values for … The state 2 indicates that the
bearing emerges early fault and … see that the vibration amplitude of the bearings has a similar …

Fault diagnostics of roller bearings using dimension theory

SG Kumbhar, E Sudhagar P - … , Diagnostics and …, 2021 - asmedigitalcollection.asme.org
Vibration analysis has been claimed and even proved as a … of a rolling element bearing
under constant radial load. This integrates … Heat generated in the bearing q W/m 2 F 2 L −1 T 2

Fault diagnosis for a bearing rolling element using improved VMD and HT

H Liu, D Li, Y Yuan, S Zhang, H Zhao, W Deng - Applied sciences, 2019 - mdpi.com
fault characteristic frequency and realize the fault diagnosis. The rolling element vibration
data of the motor bearing is … represents the rolling element fault characteristic frequency of 1/2, …

Correlated SVD and its application in bearing fault diagnosis

H Li, T Liu, X Wu, S Li - IEEE Transactions on Neural Networks …, 2021 - ieeexplore.ieee.org
… number of bearing rolling elements Nb ≥ 2, the smallest of the fault … The fault detection and
diagnosis in rolling element bearings … include vibration signal processing and fault diagnosis, …

Blind source extraction based on EMD and temporal correlation for rolling element bearing fault diagnosis

X Zhao, Y Qin, H Fu, L Jia, X Zhang - Smart and resilient transportation, 2021 - emerald.com
… the BSS fault diagnosis with single channel of vibrationtwo mentioned methods, this paper
proposes a BSE method based on EMD and temporal correlation for bearing fault diagnosis. …