Results 71 to 80 of about 98,906 (246)

A Hilbert–Huang Transform-Based Adaptive Fault Detection and Classification Method for Microgrids

Energies, 2021
Fault detection in microgrids is of great significance for power systems’ safety and stability. Due to the high penetration of distributed generations, fault characteristics become different from those of traditional fault detection.
Yijin Li, Jianhua Lin, Niu Geng, Ming Wu, Xuteng Wei   +4 more
semanticscholar   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

Detection and Classification of Double Line to Ground Faults in a 138 kV Six Phase Transmission Line Using Hilbert Huang Transform

International Journal of Electrical Engineering and Applied Sciences, 2019
In this paper, Hilbert Huang transform based technique is introduced to detect and classify double line to ground faults in a 138 kV, 60 Hz, 68 km long six phase transmission line.
Gaurav Kapoor
doaj  

Research on improved modal parameter identification method using Hilbert-Huang transform

Measurement + Control, 2023
In the wind tunnel test, the full-bridge aeroelastic model needs to simulate both the shape and dynamic characteristics of the real bridge, and modal parameters are key dynamic parameters.
Mingjin Zhang, Hongyu Chen, Tingyuan Yan, Hao Sun, Lianhuo Wu   +4 more
doaj   +1 more source

A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting

Advanced Science, Volume 13, Issue 19, 2 April 2026.
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu, Xiaoyu Bao, Qiyun Huang, Tao Wang, Li Huang, Haiyun Huang, Junbiao Zhu, Jun Qu, Kendi Li, Di Chen, Ya Jiang, Kailin Xu, Zijian Wang, Wei Wu, Yuanqing Li   +14 more
wiley   +1 more source

Performance Analysis of an EEMD-based Hilbert Huang Transform as a Bearing Failure Detector in Wind Turbines [PDF]

, 2014
International audienceSustainability and viability of wind farms are highly dependent on the reduction of the operational and maintenance costs. The most efficient way of reducing these costs would be to continuously monitor the condition of these ...
Amirat, Yassine, Benbouzid, Mohamed, Turri, Sylvie, Wang, Tianzhen   +3 more
core   +2 more sources

The Phase‐Amplitude Coupling Induced by Drug Cues in Individuals With Methamphetamine Use Disorder During Withdrawal

Brain and Behavior, Volume 16, Issue 4, April 2026.
Whole‐brain PAC and directed PSI analyses during a drug‐cue task in abstinent patients with methamphetamine use disorder revealed that drug‐related stimuli enhanced prefrontal and centro‐parietal PAC but disrupted top–down information flow from prefrontal to occipital regions.
Yu Tian, Yaqi Zhang, Yongxin Cheng, Juan Wang, Yuxin Ma, Yimiao Li, Jinliang Liu, Dingming Chang, Ting Xue, Kai Yuan, Gengdi Huang, Dahua Yu, Yanxue Xue, Fang Dong   +13 more
wiley   +1 more source

Ninja data analysis with a detection pipeline based on the Hilbert-Huang Transform

, 2009
The Ninja data analysis challenge allowed the study of the sensitivity of data analysis pipelines to binary black hole numerical relativity waveforms in simulated Gaussian noise at the design level of the LIGO observatory and the VIRGO observatory.
Alexander Stroeer, Aylott B, Huang N, Husa S, Jordan Camp, McNabb J, Pretorius F, Pretorius F, Rezzolla L, Scheel M A, Sigg D, Stroeer A Camp J Cannizzo J Gagarin N   +11 more
core   +2 more sources

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

Fuel Cells, Volume 26, Issue 2, April 2026.
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi, Kourosh Malek, Thomas Kadyk, Nadiia Kulyk, Christophe Gerling, Michael H. Eikerling   +5 more
wiley   +1 more source

Time-frequency representation of earthquake accelerograms and inelastic structural response records using the adaptive chirplet decomposition and empirical mode decomposition [PDF]

, 2007
In this paper, the adaptive chirplet decomposition combined with the Wigner-Ville transform and the empirical mode decomposition combined with the Hilbert transform are employed to process various non-stationary signals (strong ground motions and ...
A. Giaralis, Baraniuk, Boashash, Boashash, Burrus, Chen, Cohen, Flandrin, Gabor, Huang, Huang, Kijewski-Correa, Loh, Mallat, Mallat, Mann, N.P. Politis, Ohtori, Olhede, P.D. Spanos, Qian, Qian, Spanos, Spencer, Wang, Xu, Yan, Yang, Yin, Zhang, Zhang, Zhang   +31 more
core   +1 more source