Enabling Power System Restoration from Offshore Wind Power Plants in the UK by Rui Alves, Ning Yang, Lie Xu, Agustí Egea-Àlvarez

“…Furthermore, a novel small-signal analysis was performed to identify the optimal percentage of GFM converters for enhancing system stability during block loading. …”
Get full text

Vision-Based Damage Detection Method Using Multi-Scale Local Information Entropy and Data Fusion by Yiming Zhang, Zili Xu, Guang Li, Cun Xin

“…To tackle these challenges, we propose a novel vision-based damage detection method combining multi-scale signal analysis theory and data fusion algorithm. For high-spatial-resolution vibration measurements, phase-based optical flow estimation algorithm is adopted to deploy virtual sensors on the structure, yielding reliable mode shapes. …”
Get full text

Experimental Study on the Measurement of Water Bottom Vibration Induced by Underwater Drilling Blasting by Gu Wenbin, Chen Jianghai, Wang Zhenxiong, Wang Zhihua, Liu Jianqing, Lu Ming

“…It shows that the water bottom vibration monitor could collect vibration signals quite effectively in underwater environments. The followed signal analysis shows that the characteristics of water bottom vibration and land ground vibration induced by the same underwater drilling blasting are quite different due to the different geological environments. …”
Get full text

Ship Radiated Noise Recognition Using Resonance-Based Sparse Signal Decomposition by Jiaquan Yan, Haixin Sun, En Cheng, Xiaoyan Kuai, Xiaoliang Zhang

“…First, the observed signals are decomposed into high resonance component, low resonance component, and residual component by RSSD, which is a nonlinear signal analysis method based not on frequency or scale but on resonance. …”
Get full text

Cerebral compliance assessment from intracranial pressure waveform analysis: Is a positional shift-related increase in intracranial pressure predictable? by Donatien Legé, Pierre-Henri Murgat, Russell Chabanne, Kevin Lagarde, Clément Magand, Jean-François Payen, Marion Prud'homme, Yoann Launey, Laurent Gergelé

“…At the patient's bedside, such univariate signal analysis could be implemented without dependence on a specific setup.…”
Get full text

Interpretable DWT-1DCNN-LSTM Network for Power Quality Disturbance Classification by Shuangquan Yang, Tao Shan, Xiaomei Yang

“…Although deep learning methods have high accuracy, their lack of interpretability can limit their acceptance in engineering applications. Traditional signal analysis has a good physical foundation, but it is not integrated with deep learning to a sufficient degree. …”
Get full text

Multi-Band Torsional Vibration Amplitude Demodulation for Planetary Gearbox Fault Diagnosis Under Time-Varying Speed Conditions by Xiaowang Chen, Yubo Sun, Ying Zhang, Zhipeng Feng

“…Torsional vibration signal analysis is promising for diagnosing gear faults in planetary gearboxes. …”
Get full text

A Design of a Redundancy-Based Cascaded Bidirectional DC–DC Converter for Improved Reliability in Energy Storage Devices by Thales Augusto Fagundes, Guilherme Henrique Favaro Fuzato, Rafael Fernando Quirino Magossi, Ana Lais Rui Oliveira, Ricardo Quadros Machado

“…Therefore, small-signal analysis is applied to design the PI controllers, followed by a closed-loop performance evaluation using an infinity norm and stability analysis to assess the operation of the dc/dc converter in closed loop for different values of load and current references. …”
Get full text

ECG heartbeat classification using progressive moving average transform by Rabah Mokhtari, Samir Brahim Belhouari, Khelil Kassoul, Abderraouf Hocini

“…The approach aims to enhance signal analysis and classification, particularly in the context of heartbeat classification. …”
Get full text

EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism by Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, Ali Alkoradees, Gagandeep Singh

“…Method: This research endeavor sought to establish an objective diagnostic modality for ADHD through the utilization of electroencephalography (EEG) signal analysis. With the use of innovative deep learning techniques, this research seeks to improve the diagnosis of ADHD using EEG data. …”
Get full text

Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain by Juan Jose Saucedo-Dorantes, Miguel Delgado-Prieto, Juan Antonio Ortega-Redondo, Roque Alfredo Osornio-Rios, Rene de Jesus Romero-Troncoso

“…In this work, the influence of vibrations over the system is observed by performing motor current signal analysis to detect the presence of faults. The obtained results show the feasibility of detecting multiple faults in a kinematic chain, making the proposed methodology suitable to be used in the application of industrial machinery diagnosis.…”
Get full text

Hybrid Empirical and Variational Mode Decomposition of Vibratory Signals by Eduardo Esquivel-Cruz, Francisco Beltran-Carbajal, Ivan Rivas-Cambero, José Humberto Arroyo-Núñez, Ruben Tapia-Olvera, Daniel Guillen

“…Signal analysis is a fundamental field in engineering and data science, focused on the study of signal representation, transformation, and manipulation. …”
Get full text

Learning Power Systems Waveform Incipient Patterns Through Few-Shot Meta-Learning by Lixian Shi, Qiushi Cui, Yang Weng, Yigong Zhang, Shilong Chen, Jian Li, Wenyuan Li

“…However, traditional detection methods cannot achieve satisfactory performance when faced with limited data. Besides, some signal analysis methods based on waveform conversion to images cannot obtain understandable image data and cannot analyze both current and voltage signals simultaneously. …”
Get full text

Bidimensional Increment Entropy for Texture Analysis: Theoretical Validation and Application to Colon Cancer Images by Muqaddas Abid, Muhammad Suzuri Hitam, Rozniza Ali, Hamed Azami, Anne Humeau-Heurtier

“…Entropy algorithms are widely applied in signal analysis to quantify the irregularity of data. …”
Get full text

A novel denoising method for non‐linear and non‐stationary signals by Honglin Wu, Zhongbin Wang, Lei Si, Chao Tan, Xiaoyu Zou, Xinhua Liu, Futao Li

“…Abstract Signal denoising is a crucial step in signal analysis. Various procedures have been attempted by researchers to remove the noise while preserving the effective components of the signal. …”
Get full text

Spatial Cognitive EEG Feature Extraction and Classification Based on MSSECNN and PCMI by Xianglong Wan, Yue Sun, Yiduo Yao, Wan Zuha Wan Hasan, Dong Wen

“…Electroencephalogram (EEG) signal analysis presents substantial potential in spatial cognitive assessments. …”
Get full text

Piezoelectric biosensor with dissipation monitoring enables the analysis of bacterial lytic agent activity by Radka Obořilová, Eliška Kučerová, Tibor Botka, Hana Vaisocherová-Lísalová, Petr Skládal, Zdeněk Farka

“…Furthermore, the dissipation signal analysis facilitated the precise real-time monitoring of phage-mediated lysis. …”
Get full text

A 1.5D Spectral Kurtosis-Guided TQWT Method and Its Application in Bearing Fault Detection by Xiong Zhang, Ming Zhang, Shuting Wan, Rujiang Hao, Yuling He, Xiaolong Wang

“…Through experimental signal analysis, TQWT has good sparsity decomposition characteristics and can reasonably divide the signal frequency band, so as to separate the useful fault characteristic frequency band and interference frequency band. …”
Get full text

An improved electrocardiogram arrhythmia classification performance with feature optimization by Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Ikhwan Perwira

“…Abstract Background Automatic classification of arrhythmias based on electrocardiography (ECG) data faces several significant challenges, particularly due to the substantial volume of clinical data involved in ECG signal analysis. The volume of clinical data has increased considerably, especially with the emergence of new clinical symptoms and signs in various arrhythmia conditions. …”
Get full text

In-flight Electrocardiography Monitoring in a Pilot During Cross Country Flight by William D. Kim, Sang-Wook Kim, Seong-Kyu Cho, Ju Hyeon Byeon, GunYoung Lee, WooSeok Hyun, JoungSoon Jang

“…Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.…”