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Luigi Calabrese, Massimiliano Galeano and Edoardo Proverbio
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. Continuous Wavelet Transform, albeit wi...
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Bo Wu, Yuan Wu, Ran Dong, Kiminori Sato, Soichiro Ikuno, Shoji Nishimura and Qun Jin
In the mountainous areas of Japan, the weeds on the slopes of terraced rice paddies still need to be cut by the elderly manually. Therefore, more attention should be given to maintain proper postures while performing mowing actions (especially the pre-cu...
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Hongya Qu, An Chang, Tiantian Li and Zhongguo Guan
Deriving critical parametric information from recorded signals for system identification is critical in structural health monitoring and damage detection, while the time-varying nature of most signals often requires significant processing efforts due to ...
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Jinxiang Xi, Mohamed Talaat, Xiuhua Si and Haibo Dong
Glottal vibration is fundamental to breathing-related disorders and respiratory sound generation. However, responses of the flow and acoustics to glottal vibrations of different frequencies are unclear. The objective of this study is to numerically evalu...
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Mingfeng Huang, Jianping Sun, Kang Cai and Qiang Li
Although widely used in various fields due to its powerful capability of signal processing, empirical mode decomposition has to decompose signals separately, which limits its application for multivariate data such as the structural monitoring data record...
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Jiajia Wei, Tao Xie, Ming Shi, Qianqian He, Tianzhen Wang and Yassine Amirat
Marine current energy as a kind of renewable energy has gradually attracted more and more attention from many countries. However, the blade imbalance fault of marine current turbines (MCTs) will have an effect on the power production efficiency and cause...
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Xinpeng Wang, Shengxiang Huang, Chao Kang, Guanqing Li and Chenfeng Li
When the dynamic characteristics of a bridge structure are analyzed though Hilbert?Huang transform (HHT), the noise contained in the bridge dynamic monitoring data may seriously affect the performance of the first natural frequency identification. A time...
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Yisak Kim, Juyoung Park and Hyungsuk Kim
Acquisition times and storage requirements have become increasingly important in signal-processing applications, as the sizes of datasets have increased. Hence, compressed sensing (CS) has emerged as an alternative processing technique, as original signa...
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Chun-Yao Lee and Wen-Cheng Lin
This study proposes a fast correlation-based filter with particle-swarm optimization method. In FCBF?PSO, the weights of the features selected by the fast correlation-based filter are optimized and combined with backpropagation neural network as a classi...
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Matteo D?Aloia, Annalisa Longo and Maria Rizzi
Cardiac signal processing is usually a computationally demanding task as signals are heavily contaminated by noise and other artifacts. In this paper, an effective approach for peak point detection and localization in noisy electrocardiogram (ECG) signal...
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