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A Strategy Using Variational Mode Decomposition, L-Kurtosis and Minimum Entropy Deconvolution to Detect Mechanical Faults
2019
IEEE Access
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In this paper, a novel strategy using variational mode decomposition (VMD), L-Kurtosis and minimum entropy deconvolution (MED) is proposed to detect mechanical faults. ...
INDEX TERMS Variational mode decomposition, L-Kurtosis, minimum entropy deconvolution, rotary mechanical component, fault detection. 70564 2169-3536 ...
THE STRARTEGY USING VMD, L-KURTOSIS AND MED In order to identify the faults of mechanical components (bearings and gears), a novel fault detection strategy using VMD, L-Kurtosis and MED is proposed. ...
doi:10.1109/access.2019.2920064
fatcat:lkvt5zqtvzet3mav5zkvbrrjbq
Feature extraction based on EWT with scale space threshold and improved MCKD for fault diagnosis
2021
IEEE Access
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STEWT) and improved maximum correlation kurtosis deconvolution (MCKD) with power spectral entropy and grid search (PGMCKD), namely STEWT-PGMCKD is proposed for rolling bearing faults in this paper. ...
Then an adaptive MCKD based on power spectral entropy is proposed to solve the problem that the signal processing effect of MCKD is affected by filter size L and deconvolution period T . ...
ACKNOWLEDGMENT The authors would like to thank all the reviewers for their constructive comments. ...
doi:10.1109/access.2021.3065307
fatcat:urrkshkz6bajtk4qytqflzhspq
A Novel Fault Diagnosis Method for Rotating Machinery Based on EEMD and MCKD
2015
International Journal of Simulation Modelling
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In the present work, a novel fault diagnosis method based on ensemble empirical mode decomposition (EEMD) and maximum correlated kurtosis deconvolution (MCKD) is proposed in order to solve this problem ...
The experimental results indicate that, using the proposed method, the fault impulsive components in the obtained intrinsic mode functions (IMFs) with EEMD can be adaptively enhanced, and the weak fault ...
By using the correlated kurtosis deconvolution of high-order shift, the capability of fault detection can be improved. ...
doi:10.2507/ijsimm14(3)6.298
fatcat:eodfz5s6q5athmoju2l67ae5zm
An Adaptive VMD Method Based on Improved GOA to Extract Early Fault Feature of Rolling Bearings
2019
International Journal of Innovative Computing, Information and Control
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In order to identify the early fault of bearing, an early feature extraction method based on adaptive variational mode decomposition (VMD) is proposed. ...
Then, energy entropy mutual information (EEMI) index is introduced to consider the energy distribution of modes and the dependence between modes and the original signal. ...
The authors sincerely express thanks to the reviewers for taking the time to review the paper in a busy schedule. ...
doi:10.24507/ijicic.15.04.1485
fatcat:x3nean64xjerzkugnoxih6q3ae
A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
2019
Entropy
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The main purpose of this paper is to serve as a guidemap for researchers in the field of early fault diagnosis. ...
A massive amounts of research work has been conducted in last two decades to develop EFD techniques. This paper reviews and summarizes the research works on EFD of gears, rotors, and bearings. ...
Acknowledgments: Authors are grateful to all the reviewers and the editor for their valuable comments.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/e21040409
pmid:33267123
pmcid:PMC7514898
fatcat:drfigyw7gzemfirsswsjuzfrii
Application of a novel improved adaptive CYCBD method in gearbox compound fault diagnosis
2021
IEEE Access
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Blind deconvolution theory is an effective fault diagnosis technique that includes minimum entropy deconvolution (MED) [1] , maximum correlated kurtosis deconvolution (MCKD) [2] , Optimal minimum entropy ...
Compared with wavelet transform theory [20] , empirical mode decomposition (EMD) [21] , local average decomposition (LMD) [22] , variational mode decomposition (VMD) [23, 24] , singular spectrum decomposition ...
doi:10.1109/access.2021.3113515
fatcat:xf2zcf7lvna4vfwova3tars7he
Research on the Fault Diagnosis Method for Rolling Bearings Based on Improved VMD and Automatic IMF Acquisition
2020
Shock and Vibration
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This paper proposes a novel method to improve the variational mode decomposition (VMD) method and to automatically acquire the sensitive intrinsic mode function (IMF). ...
First, since fault signals are impulsive and periodic, a weighted autocorrelative function maximum (AFM) indicator is constructed based on the Gini index and autocorrelation function to serve as the optimization ...
Acknowledgments is research was supported by the Joint Funds of the National Natural Science Foundation of China (U1733201 and U1933202) and the Fundamental Research Funds for the Central Universities ...
doi:10.1155/2020/6216903
fatcat:owiulwgjavhwhmitvvoipgycbe
Time–frequency analysis via complementary ensemble adaptive local iterative filtering and enhanced maximum correlation kurtosis deconvolution for wind turbine fault diagnosis
2021
Energy Reports
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Fault diagnosis a b s t r a c t A complementary ensemble adaptive local iterative filtering (CEALIF) and enhanced maximum correlation kurtosis deconvolution (EMCKD) approach is proposed for weak fault ...
To address this circumstance, this paper introduces the particle swarm algorithm (PSO) to solve the optimal deconvolution parameters and proposes EMCKD. ...
The authors also appreciate the free download of the original bearing failure data and two photos ...
doi:10.1016/j.egyr.2021.04.045
fatcat:qgyc4btlznde5fbxp7rxlw3tue
Rolling bearing Sub-health Recognition Using Extreme Learning Machine Based on Deep Belief Network Optimized by Improved Fireworks
2021
IEEE Access
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Secondly, Maximum Correlation Kurtosis Deconvolution (MCKD) optimized by the improved parameters is used to process the incipient vibration signals with nonlinearity, nonstationary, and IFWA is used to ...
adaptively adjust to the period T and the filter length L in MCKD(IFWA-MCKD). ...
Enhanced Singular Spectrum Decomposition [2] (ESSD), Spectral Theory of Multidimensional Matrix [3] (STMM), Variational Mode Decomposition [4] (VMD) and others are used to increase the pulse numbers ...
doi:10.1109/access.2021.3064962
fatcat:sdnyk7vn5fgxlaiulb2bpwg37y
Novel Adaptive Sparse-spike Deconvolution Bearing Fault Detection Method Based on Curvelet Transform
2020
IEEE Access
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This method proposed in this paper is applied to the simulation signal and the vibration signal of rolling bearing fault, and is compared with the ASSD and the minimum entropy deconvolution (MED) to verify ...
This paper has proposed a novel bearing fault detection method about adaptive Sparse-spike Deconvolution based on Curvelet Transform (CTSSD), where the novel technique about adaptive Sparse-spike Deconvolution ...
and minimum entropy deconvolution (MED) to detect mechanical faults. ...
doi:10.1109/access.2020.3048127
fatcat:o4hukp5fsnhbbfjopr5qmzgiwq
Fault Diagnosis of Axial Piston Pump Based on Extreme-Point Symmetric Mode Decomposition and Random Forests
2021
Shock and Vibration
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Aiming at fault diagnosis of axial piston pumps, a new fusion method based on the extreme-point symmetric mode decomposition method (ESMD) and random forests (RFs) was proposed. ...
A benchmark data simulation of mechanical transmission systems and an experimental data investigation of an axial piston pump are performed to manifest the superiority of the present method by comparing ...
Liu et al. proposed a loose-slip fault diagnosis method for axial piston pumps based on minimum entropy deconvolution, ensemble empirical mode decomposition, and extreme learning machine [20] . ...
doi:10.1155/2021/6649603
fatcat:chpwshlg2vaivm7iwnqlsab5m4
Author Index
2021
2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)
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Bi, Xinjie Visibility Graph based Feature Extraction for Fault Diagnosis of Rolling Bearings [570256] Bin, Jie Optimization Method of Virtual Sand Table Background Server Based on Unity 3D [571175] C ...
Spectrum Method Combined With Singular Value Decomposition for Weak Signal Detection [570389] A Novel Strategy for Signal Denoising Using Two-layer SVD and Its Application to Rub-impact Fault Diagnosis ...
Kurtosis and Multi-point Optimal Minimum Entropy Deconvolution Adjusted [570245]Optimization of Axial Contact Stiffness of Precision Ball Screws Based on Hertzian Theory [570268]Research on Extraction ...
doi:10.1109/phm-nanjing52125.2021.9612757
fatcat:h4xp5wbdvjdpvmsri2dktwupbi
Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults
2021
IEEE Access
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Centrifugal pumps are important types of electro-mechanical machines used for fluid and energy conveyance. ...
Mechanical faults in centrifugal pumps lead to abnormal impacts in the vibration signal of the system. ...
Content may change prior to final publication. ...
doi:10.1109/access.2021.3076571
fatcat:aqciwrrdmvc5pdexxk5jghxfwa
Compound Fault Diagnosis for Gearbox Based Using of Euclidean Matrix Sample Entropy and One-Dimensional Convolutional Neural Network
2021
Shock and Vibration
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Finally, the PFs by MESE are used to train the CNN to identify the faults of parallel-shaft gearbox. ...
PFs are input into the matrix sample entropy based on Euclidean distance (MESE), and the PFs which best reflect fault characteristics are selected. ...
[13] proposed a gear fault diagnosis method based on kurtosis criterion, variant modal decomposition (VMD), and self-organizing map (SOM) neural network. is method uses the VMD algorithm to decompose ...
doi:10.1155/2021/6669006
fatcat:a252fjx665asrgerghrmrzb2oq
Blind source separation of rolling element bearing' single channel compound fault based on Shift Invariant Sparse Coding
2017
Journal of Vibroengineering
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The mechanical vibration source signal collected by sensor often includes a variety of internal vibration source of contributions such as gears, bearings, shaft and so on. ...
It is often hoped to achieve effective separation of the source signal in order to obtain better fault diagnosis result. ...
A novel method based on the optimal variational mode decomposition and 1.5-dimension envelope spectrum was proposed for detecting the compound fault of rotating machinery [14] . ...
doi:10.21595/jve.2016.17817
fatcat:oeojblsxm5g7dczbxabv5mrmv4
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