Results 21 to 30 of about 98,906 (246)

Crack detection in beams using Hilbert-Huang transform [PDF]

مجله مدل سازی در مهندسی, 2018
This study presents a non-destructive method for detecting location and depth of crack in beams. The method utilizes Hilbert-Huang Transform (HHT) as a time-series analysis technique.
Mohammad Reza Galeban, Shapour Moradi
doaj   +1 more source

Representation Learning for EEG-Based Biometrics Using Hilbert–Huang Transform

Computers, 2022
A promising approach to overcome the various shortcomings of password systems is the use of biometric authentication, in particular the use of electroencephalogram (EEG) data.
Mikhail Svetlakov, Ilya Kovalev, Anton Konev, Evgeny Kostyuchenko, Artur Mitsel   +4 more
doaj   +1 more source

Deep Neural Network with Hilbert–Huang Transform for Smart Fault Detection in Microgrid

Electronics, 2023
The fault detection method (FDM) plays a crucial role in controlling and operating microgrids (MGs), because it allows for systems to rapidly isolate and restore faults.
Amir Reza Aqamohammadi, T. Niknam, S. Shojaeiyan, P. Siano, M. Dehghani   +4 more
semanticscholar   +1 more source

Data Mining Applied to the Electrochemical Noise Technique in the Time/Frequency Domain for Stress Corrosion Cracking Recognition

Corrosion and Materials Degradation, 2023
In this paper, time/frequency domain data processing was proposed to analyse the EN signal recorded during stress corrosion cracking on precipitation-hardening martensitic stainless steel in a chloride environment.
Luigi Calabrese, Massimiliano Galeano, Edoardo Proverbio   +2 more
doaj   +1 more source

Applying the Hilbert--Huang Decomposition to Horizontal Light Propagation C_n^2 data [PDF]

, 2006
The Hilbert Huang Transform is a new technique for the analysis of non--stationary signals. It comprises two distinct parts: Empirical Mode Decomposition (EMD) and the Hilbert Transform of each of the modes found from the first step to produce a Hilbert ...
Chang, Mark P. J. L., Font, Carlos O., Gilbreath, Charmaine, Oh, Eun, Roura, Erick A.   +4 more
core   +3 more sources

Decomposition of Multicomponent Micro-Doppler Signals Based on HHT-AMD

Applied Sciences, 2018
Micro-Doppler signals analysis has been emerging as an important topic in target identification, and relative research has been focusing on features extraction and separation of the radar signals.
Wenchao Li, Gangyao Kuang, Boli Xiong
doaj   +1 more source

Nonlinear Ultrasonic Detection Method for Delamination Damage of Lined Anti-Corrosion Pipes Using PZT Transducers

Applied Sciences, 2018
Lined anti-corrosion pipes are widely used in oil and gas, petrochemical, pharmaceutical industries. However, defects, especially delamination, may occur in the production and service of pipes which result in safety accidents.
Xiaobin Hong, Yuan Liu, Xiaohui Lin, Zongqiang Luo, Zhenwei He   +4 more
doaj   +1 more source

Research on Roller Status Diagnosis of CRDM Based on SWT and HHT [PDF]

E3S Web of Conferences, 2021
For the control rod drive mechanism roller vibration signal’s characteristics of nonlinear and nonstationary. Based on actual equipment life experiment and roller fault experiment, a status diagnosis method of roller of control rod drive mechanism based ...
Zhang Liming, Rong Lei, Jiao Meng, Li Ling, Yu Yaohua   +4 more
doaj   +1 more source

A Novel Fault Detection and Classification Strategy for Photovoltaic Distribution Network Using Improved Hilbert–Huang Transform and Ensemble Learning Technique

Sustainability, 2022
Due to the increased integration of distributed generations in distributed networks, their development and operation are facing protection challenges that traditional protection systems are incapable of addressing.
Younis M. Nsaif, M. S. Hossain Lipu, Aini Hussain, A. Ayob, Yushaizad Yusof, M. Zainuri   +5 more
semanticscholar   +1 more source

Hilbert-Huang Transform in Fault Detection

Procedia Manufacturing, 2019
Abstract Failures of manufacturing systems represent a significant cost in both repairs and downtime. A considerable percentage of the maintenance cost is caused by unexpected drivetrain failures. This paper proposes a Hilbert-Huang transform (HHT)-based algorithm to effectively detect malfunctioning by revealing the instantaneous amplitude and ...
Zoltan German-Sallo, Horatiu Stefan Grif
openaire   +1 more source