Results 11 to 20 of about 82,652 (246)
Entropy, 2023 Rotary machines often exhibit nonlinear behavior due to factors such as nonlinear stiffness, damping, friction, coupling effects, and defects. Consequently, their vibration signals display nonlinear characteristics.
Mostafa Rostaghi +3 more
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Entropy, 2021 Bearing vibration signals typically have nonlinear components due to their interaction and coupling effects, friction, damping, and nonlinear stiffness. Bearing faults affect the signal complexity at various scales.
Mostafa Rostaghi +3 more
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Animal Models for Neuroinflammation and Potential Treatment Methods
Frontiers in Neurology, 2022 Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic disease of unknown etiology and without effective treatment options.
Yasuhisa Tamura +5 more
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An end-to-end data-driven optimization framework for constrained trajectories
Data-Centric Engineering, 2022 Many real-world problems require to optimize trajectories under constraints. Classical approaches are often based on optimal control methods but require an exact knowledge of the underlying dynamics and constraints, which could be challenging or even out
Florent Dewez +3 more
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Journal of Sound and Vibration, 2013 The Modal Energy Analysis presented in this paper is a method to predict energy exchanges between vibro-acoustic subsystems. As well-known methods like Statistical Energy Analysis (SEA) or Statistical modal Energy distribution analysis (SmEdA), the proposed method is based on equations of motion of two coupled oscillators.
Totaro, Nicolas, Guyader, Jean-Louis
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Modal Principal Component Analysis [PDF]
Neural Computation, 2020 Principal component analysis (PCA) is a widely used method for data processing, such as for dimension reduction and visualization. Standard PCA is known to be sensitive to outliers, and various robust PCA methods have been proposed. It has been shown that the robustness of many statistical methods can be improved using mode estimation instead of mean ...
Keishi Sando, Hideitsu Hino
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Applied Sciences, 2023 An automated operational modal analysis (AOMA) method that considers the uncertainty in modal parameters is presented and data acquired from actual bridges are used to validate it.
Keunhee Cho, Jeong-Rae Cho
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Modal Analysis With Compressive Measurements [PDF]
IEEE Transactions on Signal Processing, 2014 Structural Health Monitoring (SHM) systems are critical for monitoring aging infrastructure (such as buildings or bridges) in a cost-effective manner. Such systems typically involve collections of battery-operated wireless sensors that sample vibration data over time. After the data is transmitted to a central node, modal analysis can be used to detect
Jae Young Park +2 more
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Summary of Multi-modal Sentiment Analysis Technology
Jisuanji kexue yu tansuo, 2021 Sentiment analysis refers to the use of computers to automatically analyze and determine the emotions that people want to express. It can play a significant role in human-computer interaction and criminal investigation and solving cases.
LIU Jiming, ZHANG Peixiang, LIU Ying, ZHANG Weidong, FANG Jie
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Journal of Physics: Conference Series, 2020 Abstract The resonant interaction between light dielectric scatterers can yield to a resonant light scattering process and to a strong enhancement of the near field intensities at a deep sub-wavelength scale. While Fano resonances can be observed in the scattering spectrum of Mie scatterers, the spectrum of the internal field enhancement
Colom, Rémi +3 more
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