scholarly journals Improved Fault Size Estimation Method for Rolling Element Bearings Based on Concatenation Dictionary

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 22710-22718 ◽  
Author(s):  
Lingli Cui ◽  
Xin Wang ◽  
Huaqing Wang ◽  
Na Wu
Keyword(s):  
Estimation Method ◽  
Rolling Element Bearings ◽  
Size Estimation ◽  
Rolling Element

Defect size estimation in rolling element bearings with angled leading and trailing edges

2020 ◽  
pp. 147592172093829 ◽  
Author(s):  
Francesco Larizza ◽  
Carl Q Howard ◽  
Steven Grainger
Keyword(s):  
Real World ◽  
Surface Defects ◽  
Estimation Method ◽  
Defect Size ◽  
Rolling Element Bearings ◽  
Size Estimation ◽  
Entry And Exit ◽  
Large Dataset ◽  
Trailing Edges ◽  
Rolling Element

Rolling element bearings eventually become worn and develop surface defects, such as spalls, dents, and pits. Previous researchers have used bearings with defects that have sharp [Formula: see text] rectangular edges to develop methods for the estimation of the size of a defect. However, these idealized rectangular defects do not occur in the real world, they are in fact sloped. Tests on bearings with sloped edges on the entry and exit of the defect exhibited similar vibration characteristics as bearing with sharp 90° edges. A new defect size estimation method was developed to improve the accuracy in estimating the size of a defect that has sloping leading and trailing edges. A large dataset was obtained and has been made publicly available.

Defect size estimation in rolling element bearings using vibration time waveform

2009 ◽  
Vol 51 (8) ◽  
pp. 426-430 ◽  
Author(s):  
M Behzad ◽  
A AlandiHallaj ◽  
A Rohani Bastami ◽  
D Mba ◽  
B Eftekharnejad ◽  
...  
Keyword(s):  
Defect Size ◽  
Rolling Element Bearings ◽  
Size Estimation ◽  
Rolling Element ◽  
Vibration Time ◽  
Time Waveform

Experimental investigation on time-domain features in the diagnosis of rolling element bearings by acoustic emission

2021 ◽  
pp. 107754632110161
Author(s):  
Aref Aasi ◽  
Ramtin Tabatabaei ◽  
Erfan Aasi ◽  
Seyed Mohammad Jafari
Keyword(s):  
Acoustic Emission ◽  
Condition Monitoring ◽  
Time Domain ◽  
Central Moment ◽  
Rolling Element Bearings ◽  
Test Rig ◽  
Acoustic Emission Sensor ◽  
Outer Race ◽  
Common Time ◽  
Rolling Element

Inspired by previous achievements, different time-domain features for diagnosis of rolling element bearings are investigated in this study. An experimental test rig is prepared for condition monitoring of angular contact bearing by using an acoustic emission sensor for this purpose. The acoustic emission signals are acquired from defective bearing, and the sensor takes signals from defects on the inner or outer race of the bearing. By studying the literature works, different domains of features are classified, and the most common time-domain features are selected for condition monitoring. The considered features are calculated for obtained signals with different loadings, speeds, and sizes of defects on the inner and outer race of the bearing. Our results indicate that the clearance, sixth central moment, impulse, kurtosis, and crest factors are appropriate features for diagnosis purposes. Moreover, our results show that the clearance factor for small defects and sixth central moment for large defects are promising for defect diagnosis on rolling element bearings.

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