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A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery

Wei, Li, Xu, Huang
<span title="2019-04-17">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4d3elkqvznfzho6ki7a35bt47u" style="color: black;">Entropy</a> </i> &nbsp;
After a brief introduction of early fault diagnosis techniques, the applications of EFD of rotating machine are reviewed in two aspects: fault frequency-based methods and artificial intelligence-based  ...  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.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e21040409">doi:10.3390/e21040409</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33267123">pmid:33267123</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7514898/">pmcid:PMC7514898</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/drfigyw7gzemfirsswsjuzfrii">fatcat:drfigyw7gzemfirsswsjuzfrii</a> </span>
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Planetary Gearbox Fault Diagnosis Based on ICEEMD-Time-Frequency Information Entropy and VPMCD

Yihan Wang, Zhonghui Fan, Hongmei Liu, Xin Gao
<span title="2020-09-13">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
A fault diagnosis method for planetary gearboxes based on improved complementary ensemble empirical mode decomposition (ICEEMD)-time-frequency information entropy and variable predictive model-based class  ...  Planetary gearboxes are more and more widely used in large and complex construction machinery such as those used in aviation, aerospace fields, and so on.  ...  Comparing complementary ensemble empirical mode decomposition (CEEMD) with ensemble empirical mode decomposition (EEMD) and empirical mode decomposition (EMD) [18] , CEEMD is an improved algorithm that  ... 
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Intelligent Monitoring System Based on Noise-Assisted Multivariate Empirical Mode Decomposition Feature Extraction and Neural Networks

Le Fa Zhao, Shahin Siahpour, Mohammad Reza Haeri Yazdi, Moosa Ayati, Tian Yu Zhao, Jie Liu
<span title="2022-04-25">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3wwzxqpotbc73bzpemzybzg7ee" style="color: black;">Computational Intelligence and Neuroscience</a> </i> &nbsp;
In this paper, a couple of features derived from multivariate empirical mode decomposition (MEMD) are introduced, which overcomes the shortcomings of the traditional features.  ...  Because of the nonlinearity and nonstationarity in the vibration signals of some rotating machinery, the analysis of these signals using conventional time- or frequency-domain methods has some drawbacks  ...  To continue this idea, in 2010, Rehman and Mandic [36] proposed an empirical mode decomposition algorithm for trivariate signals.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/2698498">doi:10.1155/2022/2698498</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35510053">pmid:35510053</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC9061033/">pmcid:PMC9061033</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/plnjdl5b2vgqloba7hyqfhuc4i">fatcat:plnjdl5b2vgqloba7hyqfhuc4i</a> </span>
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An Improved Method of EWT and Its Application in Rolling Bearings Fault Diagnosis

Zhicheng Qiao, Yongqiang Liu, Yingying Liao
<span title="2020-03-28">2020</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5k6wnnhj5fbe7o7v3zavqqtk4u" style="color: black;">Shock and Vibration</a> </i> &nbsp;
Compared with traditional EWT and variational mode decomposition (VMD) methods, the effectiveness and advantages of this method are demonstrated in this study.  ...  In order to address the problems above, in this paper, we proposed the improved empirical wavelet transform (IEWT) method.  ...  Fault Diagnosis Method Based on IEWT and SVM Improved Empirical Wavelet Transform.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2020/4973941">doi:10.1155/2020/4973941</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kpmwk2nbznalfbpo2v5iw4hsbu">fatcat:kpmwk2nbznalfbpo2v5iw4hsbu</a> </span>
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Wind Turbine Drivetrain Expert Fault Detection System: Multivariate Empirical Mode Decomposition based Multi-sensor Fusion with Bayesian Learning Classification

R. Uma Maheswari, R. Umamaheswari
<span title="">2020</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a6m5ovtnq5h6bb2dcb357moo4a" style="color: black;">Intelligent Automation and Soft Computing</a> </i> &nbsp;
Multivariate Empirical Mode Decomposition (MEMD) To model the multi-channel signal simultaneously in a joint time-frequency plane, an adaptive datadriven approach is introduced in (MANDIC, 2009) whose  ...  Pre-processing and Angular Domain Resampling In the rotating machinery, the sources of vibration produce the vibration modes at factors (orders) of rotational speed.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/iasc.2020.013924">doi:10.32604/iasc.2020.013924</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4dzn6xzsajb43dpwm5zb2bexsi">fatcat:4dzn6xzsajb43dpwm5zb2bexsi</a> </span>
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Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

Naveed Rehman, Shoaib Ehsan, Syed Abdullah, Muhammad Akhtar, Danilo Mandic, Klaus McDonald-Maier
<span title="2015-05-08">2015</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
A novel scheme to perform the fusion of multiple images using the multivariate empirical mode decomposition (MEMD) algorithm is proposed.  ...  Standard multi-scale fusion techniques make a priori assumptions regarding input data, whereas standard univariate empirical mode decomposition (EMD)-based fusion techniques suffer from inherent mode mixing  ...  EP/K004638/1 (project named RoBoSAS) and Higher Education Commission, Government of Pakistan. Author Contributions Conflicts of Interest The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s150510923">doi:10.3390/s150510923</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26007714">pmid:26007714</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4481979/">pmcid:PMC4481979</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/a3i4ny3oxrgmvpua5l5xlcve5i">fatcat:a3i4ny3oxrgmvpua5l5xlcve5i</a> </span>
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Study on a novel fault diagnosis method based on integrating EMD, fuzzy entropy, improved PSO and SVM

Huimin Zhao, Wu Deng, Rui Yao, Meng Sun, Yinglian Luo, Chang Dong
<span title="2017-06-30">2017</span> <i title="JVE International Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7phojylwrf2fnbft5ycu3sa5e" style="color: black;">Journal of Vibroengineering</a> </i> &nbsp;
In order to effectively improve the fault diagnosis accuracy of motor bearing, a new fault diagnosis method based on integrating empirical mode decomposition(EMD), fuzzy entropy, improved particle swarm  ...  optimization(PSO) algorithm and support vector machine (SVM) is proposed in this paper.  ...  Fault diagnosis based on support vector machines with parameter optimization by an ant colony algorithm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21595/jve.2017.18052">doi:10.21595/jve.2017.18052</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o77f2ylddzgenegl7wkjrykie4">fatcat:o77f2ylddzgenegl7wkjrykie4</a> </span>
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Time-Frequency Analysis of EEG Asymmetry Using Bivariate Empirical Mode Decomposition

Cheolsoo Park, D. Looney, P. Kidmose, M. Ungstrup, D. P. Mandic
<span title="">2011</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kujklva47vealdwew7xiv34ble" style="color: black;">IEEE transactions on neural systems and rehabilitation engineering</a> </i> &nbsp;
A novel method is introduced to determine asymmetry, the lateralization of brain activity, using extension of the algorithm empirical mode decomposition (EMD).  ...  Index Terms-Asymmetry ratio, bivariate empirical mode decomposition (BEMD), cognitive task, electroencephalography (EEG), empirical mode decomposition (EMD).  ...  EMPIRICAL MODE DECOMPOSITION ALGORITHM A. Empirical Mode Decomposition Huang et al. [14] developed EMD to perform a highly localized time-frequency estimation in a data-driven fashion.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnsre.2011.2116805">doi:10.1109/tnsre.2011.2116805</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21342855">pmid:21342855</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hs67etyokfe3zceum7fcjp2oie">fatcat:hs67etyokfe3zceum7fcjp2oie</a> </span>
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A New Feature Extraction Method Based on EEMD and Multi-Scale Fuzzy Entropy for Motor Bearing

Huimin Zhao, Meng Sun, Wu Deng, Xinhua Yang
<span title="2016-12-31">2016</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4d3elkqvznfzho6ki7a35bt47u" style="color: black;">Entropy</a> </i> &nbsp;
Therefore, a new fault feature extraction method, called the EDOMFE method based on integrating ensemble empirical mode decomposition (EEMD), mode selection, and multi-scale fuzzy entropy is proposed to  ...  vector with the complexity measure, which is regarded as the inputs of the support vector machine (SVM) model for training and constructing a SVM classifier (EOMSMFD based on EDOMFE and SVM) for fulfilling  ...  [18] proposed a novel approach of condition monitoring and fault diagnosis for rolling element bearings based on an improved ensemble empirical mode decomposition. Zhu et al.  ... 
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Fault diagnosis of rotating machinery based on time-frequency decomposition and envelope spectrum analysis

Fan Jiang, Yonggen Chang, Zhencai Zhu, Wei Li
<span title="2017-03-31">2017</span> <i title="JVE International Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7phojylwrf2fnbft5ycu3sa5e" style="color: black;">Journal of Vibroengineering</a> </i> &nbsp;
In order to raise the working reliability of rotating machinery in real applications and reduce the loss caused by unintended breakdowns, a new method based on improved ensemble empirical mode decomposition  ...  ) as features for fault diagnosis based on support vector machine (SVM).  ...  In the recent years, empirical mode decomposition (EMD), a self-adaptive, time-frequency analysis method has been presented and employed for mechanical fault diagnosis [11] [12] [13] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21595/jve.2017.17232">doi:10.21595/jve.2017.17232</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bmb6e3xr4fhn5px3uep6cus32i">fatcat:bmb6e3xr4fhn5px3uep6cus32i</a> </span>
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Robust Fault Diagnosis of Rolling Bearings Using Multivariate Intrinsic Multiscale Entropy Analysis and Neural Network Under Varying Operating Conditions

Rui Yuan, Yong Lv, Hewenxuan Li, Gangbing Song
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
INDEX TERMS Robust fault diagnosis, varying operating conditions, adaptive projection intrinsically transformed multivariate empirical mode decomposition with adaptive noise (APIT-MEMD-AN), improved multivariate  ...  Multivariate intrinsic multiscale entropy analysis consists of adaptive projection intrinsically transformed multivariate empirical mode decomposition with adaptive noise (APIT-MEMD-AN) and improved multivariate  ...  Then direction vectors are unevenly distributed on complex plane.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2939546">doi:10.1109/access.2019.2939546</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sg55akcdhnb2ve3szmwn5ee2ca">fatcat:sg55akcdhnb2ve3szmwn5ee2ca</a> </span>
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IMPROVED CURRENT DECOMPOSITION IN HELICAL ANTENNAS USING THE ESPRIT ALGORITHM

Yang Li, Hao Ling
<span title="">2010</span> <i title="EMW Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/w26bmilswjfddgxvgiwkooaiu4" style="color: black;">Electromagnetic Waves</a> </i> &nbsp;
We apply the ESPRIT algorithm to decompose the currents on a helical antenna into different traveling wave modes.  ...  The strengths, phase velocities and decay constants of the various modes are extracted across frequencies.  ...  In this paper, we present an improved mode decomposition of the helix current by applying the Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) [9, 10] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2528/pier10052811">doi:10.2528/pier10052811</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/afup7uodg5dthgtkdvxfyg4bhm">fatcat:afup7uodg5dthgtkdvxfyg4bhm</a> </span>
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A Novel Hybrid Model for the Prediction and Classification of Rolling Bearing Condition

Aina Wang, Yingshun Li, Zhao Yao, Chongquan Zhong, Bin Xue, Zhannan Guo
<span title="2022-04-11">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
Subsequently, we apply the support vector machine (SVM) classification model to identify the multiple condition patterns based on the multi-domain features extracted from sensitive modes.  ...  First, we add variational mode decomposition (VMD) to preprocess the data points listed in a time order into a subseries, namely intrinsic mode functions (IMFs).  ...  In the test phase, the computational complexity required O(MN) operations, where M and N are the kernel operations and support vectors, respectively.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12083854">doi:10.3390/app12083854</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kflder3b5fempi5rrborcb4x7q">fatcat:kflder3b5fempi5rrborcb4x7q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220422174947/https://mdpi-res.com/d_attachment/applsci/applsci-12-03854/article_deploy/applsci-12-03854-v2.pdf?version=1649915259" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/eb/0e/eb0e3ea779e01a858194bdcbb7b68e47c2b82ada.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12083854"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Fast two-snapshot structured illumination for temporal focusing microscopy with enhanced axial resolution

Yunlong Meng, Wei Lin, Chenglin Li, Shih-chi Chen
<span title="2017-09-12">2017</span> <i title="The Optical Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cg4vcsfty5dfvgmat5wm62wgie" style="color: black;">Optics Express</a> </i> &nbsp;
Subsequently, the modulated in-focal-plane images are obtained via rotation and subtraction.  ...  First, the orientation of the modulated sinusoidal fringe patterns is automatically identified via spatial frequency vector detection.  ...  Next, a set of complex vectors is constructed based on ′ ( ⃗) for decoding.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1364/oe.25.023109">doi:10.1364/oe.25.023109</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29041614">pmid:29041614</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wid3vo66mrbx7gen53v6s44anu">fatcat:wid3vo66mrbx7gen53v6s44anu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190304012730/http://pdfs.semanticscholar.org/be75/2d112c55bf1004b786cc834634047f132340.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/be/75/be752d112c55bf1004b786cc834634047f132340.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1364/oe.25.023109"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition

Cheolsoo Park, David Looney, Naveed ur Rehman, Alireza Ahrabian, Danilo P. Mandic
<span title="">2013</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kujklva47vealdwew7xiv34ble" style="color: black;">IEEE transactions on neural systems and rehabilitation engineering</a> </i> &nbsp;
We show that direct multichannel processing via MEMD allows for enhanced localization of the frequency information in EEG, and, in particular, its noise-assisted mode of operation (NA-MEMD) provides a  ...  mode decomposition (MEMD) in motor imagery BCI.  ...  2012 IEEE There are three different ways to extend the real-valued EMD to the bivariate or complex domain, "rotation invariant empirical mode decomposition (RIEMD)" [22] , "complex empirical mode  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnsre.2012.2229296">doi:10.1109/tnsre.2012.2229296</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23204288">pmid:23204288</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ejtmm3zbjb2nloyrvmkbmlw7u">fatcat:2ejtmm3zbjb2nloyrvmkbmlw7u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705112816/http://www.commsp.ee.ic.ac.uk/%7Emandic/research/EMD_Stuff/Cheolsoo_Motor_Imag_BCI_MEMD_IEEE_Rehab_2013.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/36/a6/36a675d51e905348967d2834211696564cf21d37.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnsre.2012.2229296"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
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