scholarly journals A New Incipient Fault Diagnosis Method Combining Improved RLS and LMD Algorithm for Rolling Bearings With Strong Background Noise

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 26001-26010 ◽  
Author(s):  
Huang Darong ◽  
Ke Lanyan ◽  
Mi Bo ◽  
Zhao Ling ◽  
Sun Guoxi
Keyword(s):  
Fault Diagnosis ◽  
Background Noise ◽  
Rolling Bearings ◽  
Diagnosis Method ◽  
Incipient Fault ◽  
Incipient Fault Diagnosis

scholarly journals Correction: Li, Q.; Liang, S.Y. Incipient Fault Diagnosis of Rolling Bearings Based on Impulse-Step Impact Dictionary and Re-Weighted Minimizing Nonconvex Penalty Lq Regular Technique. Entropy 2017, 19, 421

Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 483
Author(s):  
Qing Li ◽  
Steven Y. Liang
Keyword(s):  
Fault Diagnosis ◽  
Rolling Bearings ◽  
Incipient Fault ◽  
Nonconvex Penalty ◽  
Incipient Fault Diagnosis ◽  
Made In

The authors were not aware of some errors and imprecise descriptions made in the proofreading phase, therefore, we wish to make the following corrections to this paper [...]

scholarly journals Incipient Fault Diagnosis Method for IGBT Drive Circuit Based on Improved SAE

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 92410-92418 ◽  
Author(s):  
Yigang He ◽  
Chenchen Li ◽  
Tao Wang ◽  
Tiancheng Shi ◽  
Lin Tao ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Diagnosis Method ◽  
Drive Circuit ◽  
Incipient Fault ◽  
Incipient Fault Diagnosis

Information Fusion of the Vibration and Acoustic Signals Based Rolling Bearing Incipient Fault Diagnosis Method

2013 ◽  
Vol 774-776 ◽  
pp. 1499-1502
Author(s):  
Ting Feng Ming ◽  
Yong Xiang Zhang ◽  
Jing Li
Keyword(s):  
Fault Diagnosis ◽  
Correlation Analysis ◽  
Information Fusion ◽  
Vibration Signal ◽  
Acoustic Resonance ◽  
Rolling Bearing ◽  
Rolling Bearings ◽  
Diagnosis Method ◽  
Incipient Fault ◽  
Fusion Analysis

The feature of correlation analysis were described and applied to analyzing the vibration signal of the gearbox. Aiming to that the diagnosis effect of the rolling bearings incipient fault was not good through the vibration spectrum and the resonance demodulation spectrum directly, the information fusion technology based on the correlation analysis is proposed to processing the vibration and acoustic resonance demodulation signal. The experimental results show that the presented correlation fusion analysis technology can be as the basis of the effective fault diagnosis method for the rolling bearings incipient defect.

scholarly journals Incipient Fault Diagnosis of Rolling Bearings Based on Impulse-Step Impact Dictionary and Re-Weighted Minimizing Nonconvex Penalty Lq Regular Technique

Entropy ◽  
2017 ◽  
Vol 19 (8) ◽  
pp. 421 ◽  
Author(s):  
Qing Li ◽  
Steven Liang
Keyword(s):  
Fault Diagnosis ◽  
Matching Pursuit ◽  
Vibration Signal ◽  
L1 Norm ◽  
Rolling Bearings ◽  
Mode Decomposition ◽  
Incipient Fault ◽  
Nonconvex Penalty ◽  
Treat All ◽  
Incipient Fault Diagnosis

The periodical transient impulses caused by localized faults are sensitive and important characteristic information for rotating machinery fault diagnosis. However, it is very difficult to accurately extract transient impulses at the incipient fault stage because the fault impulse features are rather weak and always corrupted by heavy background noise. In this paper, a new transient impulse extraction methodology is proposed based on impulse-step dictionary and re-weighted minimizing nonconvex penalty Lq regular (R-WMNPLq, q = 0.5) for the incipient fault diagnosis of rolling bearings. Prior to the sparse representation, the original vibration signal is preprocessed by the variational mode decomposition (VMD) technique. Due to the physical mechanism of periodic double impacts, including step-like and impulse-like impacts, an impulse-step impact dictionary atom could be designed to match the natural waveform structure of vibration signals. On the other hand, the traditional sparse reconstruction approaches such as orthogonal matching pursuit (OMP), L1-norm regularization treat all vibration signal values equally and thus ignore the fact that the vibration peak value may have more useful information about periodical transient impulses and should be preserved at a larger weight value. Therefore, penalty and smoothing parameters are introduced on the reconstructed model to guarantee the reasonable distribution consistence of peak vibration values. Lastly, the proposed technique is applied to accelerated lifetime testing of rolling bearings, where it achieves a more noticeable and higher diagnostic accuracy compared with OMP, L1-norm regularization and traditional spectral Kurtogram (SK) method.

scholarly journals Analog Circuit Incipient Fault Diagnosis Method Using DBN Based Features Extraction

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 23053-23064 ◽  
Author(s):  
Chaolong Zhang ◽  
Yigang He ◽  
Lifeng Yuan ◽  
Sheng Xiang
Keyword(s):  
Fault Diagnosis ◽  
Analog Circuit ◽  
Features Extraction ◽  
Diagnosis Method ◽  
Incipient Fault ◽  
Incipient Fault Diagnosis
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