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High-G Calibration Denoising Method for High-G MEMS Accelerometer Based on EMD and Wavelet Threshold
2019
Micromachines
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In order to improve the performance of High-G MEMS accelerometers, a denoising method based on the combination of empirical mode decomposition (EMD) and wavelet threshold is proposed. ...
Firstly, EMD decomposition is performed on the output of the main accelerometer to obtain the intrinsic mode function (IMF). ...
Conflicts of Interest: The authors declare no conflicts interest. ...
doi:10.3390/mi10020134
pmid:30781648
pmcid:PMC6412373
fatcat:iwt7vpy44zekbooaxixz33xds4
Integration of Wavelet Denoising and HHT Applied to the Analysis of Bridge Dynamic Characteristics
2020
Applied Sciences
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The denoising effect of the experimental analysis on the simulated noisy signals proves the effectiveness of the proposed method. ...
The results indicate that the wavelet-empirical mode decomposition (EMD) method effectively reduces the interference of random noise and eliminates useless intrinsic modal function (IMF) components, and ...
Availability of Data and Materials: The data contained in this manuscript were the result of experiments by the research group. ...
doi:10.3390/app10103605
fatcat:vh4l3ms5prfltgst5vs5irjh5y
Working Mode Identification Method for High Arch Dam Discharge Structure Based on Improved Wavelet Threshold–EMD and RDT Algorithm
2022
Water
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To effectively filter noise and reduce modal aliasing for better identification accuracy, this study proposes an improved modal threshold identification method based on an improved wavelet threshold–empirical ...
On the basis of the measured vibration response data of the dam, the wavelet threshold is adopted to filter out most of the high-frequency white noise and to reduce the boundary accumulation effect of ...
Data Availability Statement: Not applicable.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/w14223735
fatcat:w2uoy6sz6jejzokb3cfnbipyly
A New Joint Denoising Algorithm for High-G Calibration of MEMS Accelerometer Based on VMD-PE-Wavelet Threshold
2021
Shock and Vibration
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The experimental results prove that the combined denoising algorithm combines the merits of VMD, PE, and wavelet threshold, and this new algorithm has a good performance in the calibration denoising of ...
Compared with the serious signal distortion caused by using only EMD or wavelet threshold, this method not only has a good denoising effect (the noises in the static part are eliminated by 99.97% and the ...
With the development of nonlinear stationary signal denoising methods based on modal decomposition, signal denoising algorithms such as EMD and LMD emerge. e original signals can be decomposed into some ...
doi:10.1155/2021/8855878
fatcat:oerxagt6qrbtbjzfx2nr3xtau4
Research on Fault Feature Extraction Method of Rolling Bearing Based on NMD and Wavelet Threshold Denoising
2018
Shock and Vibration
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of rolling bearing based on nonlinear mode decomposition (NMD) and wavelet threshold denoised method. ...
First of all, the fault signal was preprocessed via wavelet threshold denoising. Then, the denoised signal was decomposed by using NMD. Next, the mode component envelope spectrum was made. ...
Figures 11 and 12 show the result of wavelet threshold denoising based on NMD and EMD for the outer ring fault signal, respectively. ...
doi:10.1155/2018/9495265
fatcat:ff5v7ifecfhx5j3vbqkv476dfy
Impact-Type Sunflower Yield Sensor Signal Denoising Method Based on CEEMD-WTD
2023
Agriculture
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A signal processing method combining complementary ensemble empirical mode decomposition (CEEMD) and wavelet threshold denoising (WTD) based on an adaptive decomposition capability was proposed by analyzing ...
An evaluation objective function of the denoising ability of the algorithm based on signal-noise ratio, root mean square error, smoothness and waveform similarity indexes with different weights was also ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/agriculture13010166
fatcat:dbqh5z4zvbardmgavnvxpetza4
A Novel Denoising Method for an Acoustic-Based System through Empirical Mode Decomposition and an Improved Fruit Fly Optimization Algorithm
2017
Applied Sciences
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In order to eliminate noise components from machinery sound effectively, an empirical mode decomposition (EMD) threshold denoising method optimized by an improved fruit fly optimization algorithm (IFOA ...
Then, a piece of simulated acoustic signal produced by the train was applied to validate the proposed EMD and IFOA threshold denoising (EMD-IFOA). ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app7030215
fatcat:k6i4zbwiunbnzitprnwjjtxoje
Denoising of the Fiber Bragg Grating Deformation Spectrum Signal Using Variational Mode Decomposition Combined with Wavelet Thresholding
2019
Applied Sciences
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In this paper, we propose a novel signal denoising method that combines variational mode decomposition (VMD) and changed thresholding wavelets to denoise experimental and mixed signals. ...
The results show that, upon adding additional noisy signals and realistic signals, the proposed algorithm delivers excellent performance over the EMD-based denoising method and discrete wavelet transform ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app9010180
fatcat:bp6lp3ysojg4fooo7um6yrhqwq
A Comprehensive Diagnosis Method of Rolling Bearing Fault Based on CEEMDAN-DFA-Improved Wavelet Threshold Function and QPSO-MPE-SVM
2021
Entropy
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Based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), detrended fluctuation analysis (DFA), and improved wavelet thresholding, a denoising method of CEEMDAN-DFA-improved ...
wavelet threshold function was presented to reduce the distortion of the noised signal. ...
[10] fused the EMD algorithm and selected and tested (ST) the algorithm to denoise the signal, solving the low accuracy in the low-speed operation of the bearing of the EMD denoising method based on ...
doi:10.3390/e23091142
pmid:34573767
pmcid:PMC8468651
fatcat:iw6ccvpcmnbn7oecipwu4cqunq
An EEMD-Based Denoising Method for Seismic Signal of High Arch Dam Combining Wavelet with Singular Spectrum Analysis
2019
Shock and Vibration
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A self-adaptive denoising method based on ensemble empirical mode decomposition (EEMD) combining wavelet threshold with singular spectrum analysis (SSA) is proposed in this paper. ...
threshold denoising algorithms. ...
Denoising Method
Ensemble Empirical Mode Decomposition Method. e EEMD is a new EMD-based signal processing method to solve easy mode mixing effect of EMD. is method makes the signal be of continuity ...
doi:10.1155/2019/4937595
fatcat:6pc4fk2mfvbilf6ebxz2hroh4a
Probabilistic Entropy EMD Thresholding for Periodic Fault Signal Enhancement in Rotating Machine
2017
Shock and Vibration
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As an adaptive decomposing technique, empirical mode decomposition (EMD) based denoising methods have a good effect on the feature separation and noise elimination. ...
Meanwhile, in order to make the amplitudes of all the IMF reduce in a smooth way, a multiscale thresholding algorithm based on quantile statistics to provide probability indexes is presented. ...
However, in contrast to wavelet-based denoising method where the threshold is applied on the wavelet coefficients, the IMF thresholding is directly applied to timedomain signals of each IMF in EMD-based ...
doi:10.1155/2017/1254310
fatcat:ztrnfi4jerhc7nkdrp5cabb4qi
Extraction method of weak underwater acoustic signal based on the combination of wavelet transform and empirical mode decomposition
2021
International Journal of Metrology and Quality Engineering
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In this paper, an algorithm that combines empirical mode decomposition and wavelet transform is proposed to achieve the efficient extraction of target signals in the environment with strong noise. ...
The wavelet threshold processing is conducted according to the correlation coefficient of each mode component and the original signal, and finally the signals are reconstructed. ...
This algorithm is based on EMD decomposition transform and wavelet threshold processing. ...
doi:10.1051/ijmqe/2021005
fatcat:mrx666lg2ba63ku7tt575geare
A Vibration Signal Denoising Method of Marine Atomic Gravimeter Based on Improved Variational Mode Decomposition
2022
Wireless Communications and Mobile Computing
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In this paper, a vibration signal denoising method of marine atomic gravimeter based on improved variational mode decomposition (VMD) was put forward to effectively suppress the noise. ...
) wavelet, and empirical mode decomposition (EMD). ...
Commission (2019JCJQJJ047), and the Natural Science Foundation of Hubei Provincial of China (2017CFB377). ...
doi:10.1155/2022/1744689
fatcat:6egizse5wreovooefptuorizze
Microseismic Signal Denoising via Empirical Mode Decomposition, Compressed Sensing, and Soft-thresholding
2020
Applied Sciences
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Therefore, an Empirical Mode Decomposition (EMD), Compressed Sensing (CS), and Soft-thresholding (ST) combined EMD_CS_ST denoising method is proposed. ...
First, through EMD decomposition of the noise signal, a series of Intrinsic Mode Functions (IMF) from high frequency to low frequency are obtained. ...
In the third part, the signal is denoised by numerical simulation Acknowledgments: Thanks are given to colleagues at the Shuangjiangkou hydropower station for their valuable contributions to the project ...
doi:10.3390/app10062191
fatcat:3pc5bscfovbodiocau2sseadjm
Fusion Algorithm-Based Temperature Compensation Method for High-G MEMS Accelerometer
2019
Shock and Vibration
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Later, a comparative analysis is carried out on the results from four models: EMD, wavelet thresholding, EMD + wavelet thresholding, and EMD + wavelet thresholding + temperature compensation. ...
In the fusion algorithm, the original accelerometer signal is first decomposed by EMD to obtain the intrinsic mode function (IMF). ...
Acknowledgments is work was supported by the National Natural Science Foundation of China (Nos. 51705477, 61703098, and 61603353) and Pre-Research Field Foundation of Equipment ...
doi:10.1155/2019/3154845
fatcat:iq2657fuhraoxatpvftwhbxqyu
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