Results 1 to 10 of about 790 (123)

Seismic Signal Analysis Based on Variational Mode Decomposition and Hilbert Transform for Ground Intrusion Activity Classification. [PDF]

open access: yesSensors (Basel), 2023
The identification of ground intrusion is a key and important technology in the national public security field. In this paper, a novel variational mode decomposition (VMD) and Hilbert transform (HT) is proposed for the classification of seismic signals ...
Sun Y, Qian D, Zheng J, Liu Y, Liu C.
europepmc   +2 more sources

Operational Modal Analysis of Civil Engineering Structures with Closely Spaced Modes Based on Improved Hilbert–Huang Transform [PDF]

open access: yesSensors (Basel)
In long-span bridges and high-rise buildings, closely spaced modes are commonly observed, which greatly increases the challenge of identifying modal parameters. Hilbert–Huang transform (HHT), a widely used method for modal parameter identification, first
Shang X, Huang T, He Y, Chen H.
europepmc   +2 more sources

Time-Frequency Analysis of Noisy Vibration Signal Based on Improved Hilbert-Huang Transform

open access: yesShanghai Jiaotong Daxue xuebao, 2023
Aimed at the phenomenon of modal confusion and lack of practical significance of instantaneous frequency caused by Hilbert-Huang transform (HHT) noisy vibration signal time-frequency analysis, complete ensemble empirical mode decomposition with adaptive ...
SUN Miao, YANG Junkai, WU Li
doaj   +1 more source

Phase Unwrapping and Frequency Points Subdivision of the Frequency Sweeping Interferometry Based Absolute Ranging System

open access: yesSensors, 2022
Frequency sweeping interferometry (FSI) based absolute distance ranging has high precision and no ranging blind area. It can be used to realize large-scale and non-cooperative target measurement.
Luming Song   +5 more
doaj   +1 more source

A Novel Feature Extraction Method for the Condition Monitoring of Bearings

open access: yesEnergies, 2021
This paper presents an innovative approach to the extraction of an indicator for the monitoring of bearing degradation. This approach is based on the principles of the empirical mode decomposition (EMD) and the Hilbert transform (HT).
Abdenour Soualhi   +3 more
doaj   +1 more source

Rotor Bar Fault Diagnosis in Indirect Field–Oriented Control-Fed Induction Motor Drive Using Hilbert Transform, Discrete Wavelet Transform, and Energy Eigenvalue Computation

open access: yesMachines, 2023
The most powerful technology in the condition-based maintenance (CBM) framework for rotating machinery is fault detection (FD) and fault diagnosis (FDS).
Senthil Kumar Ramu   +3 more
doaj   +1 more source

Performance Analysis of Surface Reconstruction Algorithms in Vertical Scanning Interferometry Based on Coherence Envelope Detection

open access: yesMicromachines, 2021
Optical interferometry plays an important role in the topographical surface measurement and characterization in precision/ultra-precision manufacturing.
Dongxu Wu   +3 more
doaj   +1 more source

The Gaussian Process Hilbert Transform (GP-HT): Testing the Consistency of Electrochemical Impedance Spectroscopy Data [PDF]

open access: yesJournal of The Electrochemical Society, 2020
Electrochemical impedance spectroscopy (EIS) is an experimental technique that is frequently used in electrochemistry. While measuring EIS spectra is relatively simple, the interpretation of the data is hindered if the electrochemical system under study is not linear, causal, stable, and time-invariant.
openaire   +2 more sources

Image improvement of temporal focusing multiphoton microscopy via superior spatial modulation excitation and Hilbert–Huang transform decomposition

open access: yesScientific Reports, 2022
Temporal focusing-based multiphoton excitation microscopy (TFMPEM) just provides the advantage of widefield optical sectioning ability with axial resolution of several micrometers.
Yvonne Yuling Hu   +4 more
doaj   +1 more source

Spectral denoising based on Hilbert–Huang transform combined with F-test

open access: yesFrontiers in Chemistry, 2022
Due to the influence of uncontrollable factors such as the environment and instruments, noise is unavoidable in a spectral signal, which may affect the spectral resolution and analysis result.
Xihui Bian   +8 more
doaj   +1 more source

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