Article
Engineering, Mechanical
Jian Cai, Weimin Fei, Shangchen Fu, Mingyu Lu, Hainan Yang
Summary: In this paper, a modified dynamic time warping (MDTW) method is proposed to improve the reliability of Lamb wave damage detection under non-uniform temperature variations. With the flexible time alignment ability, MDTW can compensate the effects of non-uniform temperature variation on Lamb wave signals by requiring one set of baselines. The warping adjusting mechanism is introduced to preserve the damage information in the compensated signals. A MDTW-based Lamb wave imaging method is developed to suppress non-uniform temperature variations and achieve high reliability damage imaging.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Multidisciplinary
Bhabagrahi Natha Sharma, Santosh Kapuria, A. Arockiarajan, M. Kannusamy
Summary: This study compares the conventional TRM method and the recently proposed RTRM method for baseline-free detection and sizing of damage under varying temperatures. The results show that the conventional TRM method is not suitable for damage detection and sizing under temperature variations, while the RTRM method is effective and sensitive to damage at different temperatures.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Yanfeng Lang, Zhibo Yang, Detong Kong, Wei Zhang, Xuefeng Chen
Summary: The MUSIC algorithm, commonly used in direction of arrival estimation, has been popular in structural health monitoring for its high resolution and independence from baseline. However, in guided-wave-based SHM, the dispersion effect causes phase distortion. Xu et al. presented a focusing MUSIC algorithm that uses time reversal technique to eliminate dispersion. By modifying the steering vector, the forward-propagation-free focusing MUSIC algorithm eliminates the need for forward propagation and steering vector traversal.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Qing Li, Shuai Zhao, Shancheng Zhao, Jinming Wen
Summary: This paper proposes a new text classification algorithm called LRMP, which achieves efficient text classification by optimizing the Logistic-OMP algorithm and defining new loss function and residual update function. Experimental results show that LRMP algorithm outperforms benchmark classifiers and advanced classifiers in terms of computation time, memory usage, and classification accuracy.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Chemistry, Physical
Zhiling Wang, Yongteng Zhong, Jinyu Zhou, Chaoyue Li, Lina Zhong
Summary: Piezoelectric sensors array based damage imaging method is a promising algorithm in structural health monitoring technology. This paper evaluates the environmental effects on the array and presents a compensated 2D-MUSIC algorithm for damage imaging. By analyzing the gain-phase difference of array signal and compensating with an error matrix, the algorithm effectively estimates the location of the damage source.
Article
Chemistry, Analytical
Yuemin Wang, Binghui Tang, Ruqing Gong, Fan Zhou, Ang Chen
Summary: In this study, a novel sparse signal decomposition method called DMOMP was proposed for defect identification and localization in ultrasonic guided waves in water-filled pipes. The results showed that DMOMP achieved higher reconstruction accuracy and more accurate mode recognition and localization compared to existing methods.
Article
Biology
Asghar Zarei, Babak Mohammadzadeh Asl
Summary: A novel algorithm was developed for automatic seizure detection from EEG signals using DWT and OMP techniques, which improved detection accuracy by extracting signal coefficients, calculating nonlinear features, and statistical features. The proposed OMP-based technique with SVM classifier showed good performance in different classification tasks according to the experimental results.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Engineering, Multidisciplinary
Alvaro Gonzalez-Jimenez, Luca Lomazzi, Rafael Junges, Marco Giglio, Andrea Manes, Francesco Cadini
Summary: Damage diagnosis of thin-walled structures has been successfully performed through tomography and machine learning-driven methods, with good performance in processing Lamb waves. However, traditional approaches do not work well for composites due to their anisotropy and complex damage mechanisms. To overcome these limitations, this work proposes a CNN-based algorithm that localizes damage by processing Lamb waves without feature extraction, and it outperforms traditional methods.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Chemistry, Analytical
Lu Si, Weizhang Xu, Xinle Yu, Hang Yin
Summary: The research proposes improved OMP and SOMP algorithms for CS-based channel estimation in SC-FDE systems, calculating path gain after updating observation matrices to enhance communication system reliability.
Article
Chemistry, Analytical
Weilei Mu, Yuqing Gao, Guijie Liu
Summary: The study proposes a method based on orthogonal matching pursuit decomposition to achieve high-resolution damage detection and localization using a sparse sensor array with only two transducers. The algorithm can effectively separate wave packets of different propagation paths and remove dispersion, improving the localization of defects in Lamb waves.
Article
Chemistry, Analytical
Aleksandra Waszczuk-Mlynska, Adam Galezia, Radkowski Stanislaw
Summary: This article discusses a method of monitoring fault formations and their development in membrane structures using the Hilbert transforms, with the correct identification allowing for optimal operation strategies to be chosen.
Article
Mathematics, Applied
Guiyun Xiao, Zheng-Jian Bai, Wai-Ki Ching
Summary: This paper investigates the inverse problem of constructing a sparse probabilistic Boolean network from a prescribed transition probability matrix. A modified orthogonal matching pursuit algorithm is proposed to solve this problem. The effectiveness of the proposed algorithm is illustrated through numerical results.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Engineering, Electrical & Electronic
Liyang Lu, Wenbo Xu, Yue Wang, Zhi Tian
Summary: This paper proposes two novel schemes of wideband compressive spectrum sensing (CSS) via block orthogonal matching pursuit (BOMP) algorithm, for achieving high sensing accuracy in real time. These schemes aim to reliably recover the spectrum by adaptively adjusting the number of required measurements without inducing unnecessary sampling redundancy. The simulated results show that the two SC-BOMP schemes outperform the other benchmark algorithms.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Telecommunications
Haifeng Li, Qi Chen
Summary: This paper investigates the problem of sparse signal restoration in a non-negative environment and proposes a greedy algorithm to solve the non-negative structure of sparse vectors. The theoretical performance of the algorithm is analyzed based on mutual coherence, and its feasibility is verified through numerical experiments.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Engineering, Mechanical
Damien Bouvier, Marc Rebillat, Eric Monteiro, Nazih Mechbal
Summary: Structural Health Monitoring (SHM) using Lamb waves in aeronautic structures can reduce maintenance costs and increase safety. This work proposes a semi-analytical spatio-temporal framework based on the Green-Volterra formalism to describe nonlinear interactions between Lamb waves and damages, which is computationally simple enough for real-time SHM applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
