Fault diagnosis of electric impact drills using thermal imaging
A Glowacz - Measurement, 2021 - Elsevier
Fault diagnosis enables to make savings related to maintenance. The presented work
describes fault diagnosis method based on analysis of thermal images. An original method …
describes fault diagnosis method based on analysis of thermal images. An original method …
An In-Depth Study of Vibration Sensors for Condition Monitoring
Heavy machinery allows for the efficient, precise, and safe management of large-scale
operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures …
operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures …
Online bearing fault diagnosis using numerical simulation models and machine learning classifications
H Wang, J Zheng, J Xiang - Reliability Engineering & System Safety, 2023 - Elsevier
Digital twin (DT) is the embodiment of the most advanced achievements of the current
simulation technology theory development and the direction of intelligent development in the …
simulation technology theory development and the direction of intelligent development in the …
A combined acoustic and dynamic model of a defective ball bearing
J Liu, Y Xu, G Pan - Journal of Sound and Vibration, 2021 - Elsevier
Due to their special characteristics, angular contact ball bearings (ACBBs) are broadly
applied in various mechancial systems. The working performance of rotating machinery can …
applied in various mechancial systems. The working performance of rotating machinery can …
A review on the role of tunable Q-factor wavelet transform in fault diagnosis of rolling element bearings
A Anwarsha, T Narendiranath Babu - Journal of Vibration Engineering & …, 2022 - Springer
Background Tunable Q-factor wavelet transform (TQWT) is a newly developed, updated
version of the wavelet transform that can break down any vibration signal into low Q-factor …
version of the wavelet transform that can break down any vibration signal into low Q-factor …
An adaptive variational mode decomposition based on sailfish optimization algorithm and Gini index for fault identification in rolling bearings
MGA Nassef, TM Hussein, O Mokhiamar - Measurement, 2021 - Elsevier
Variational mode decomposition (VMD) method is a recently employed signal processing
technique for fault identification from the vibration signal of rolling bearings. However, the …
technique for fault identification from the vibration signal of rolling bearings. However, the …
Theoretical and experimental analyses of vibration impulses and their influence on accurate diagnosis of ball bearing with localized outer race defect
This work presents an in-depth analysis of vibration response of ball bearings using a
modified 2-degree of freedom (DOF) lumped parameter model. It incorporates additional …
modified 2-degree of freedom (DOF) lumped parameter model. It incorporates additional …
Experimental comparison of acoustic emission sensors in the detection of outer race defect of angular contact ball bearings by artificial neural network
In this paper, three different types of acoustic emission sensors have been applied to detect
the outer race defect of angular contact ball bearings. The sensors include R6a, which is a …
the outer race defect of angular contact ball bearings. The sensors include R6a, which is a …
Fingerprint feature and dynamic threshold mechanism based on acoustic emission for bearing fault detection
C Wang, H Qi, D Hou, D Han, J Yang - Mechanical Systems and Signal …, 2023 - Elsevier
The acoustic emission (AE) technology has emerged as a promising diagnostic tool for the
damage detection of bearings. However, the conventional time-domain feature extraction …
damage detection of bearings. However, the conventional time-domain feature extraction …
High-speed train wheel set bearing fault diagnosis and prognostics: Research on acoustic emission detection mechanism
D Hou, H Qi, D Li, C Wang, D Han, H Luo… - Mechanical Systems and …, 2022 - Elsevier
Acoustic emission (AE) technology is suitable for the condition monitoring and fault
diagnosis of high-speed train wheel set bearings (HSTWSB) owing to its high frequency and …
diagnosis of high-speed train wheel set bearings (HSTWSB) owing to its high frequency and …