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Operational modal analysis using symbolic regression for a nonlinear vibration system [PDF]
The existence of nonlinearity is an inevitable frequent occurrence that should be considered to accurately identify the modal parameters of a vibration system using operational modal analysis.
Xuchu Jiang, Feng Jiang
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Modal Principal Component Analysis [PDF]
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 ...
Sando, Keishi, Hino, Hideitsu
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Jacobi-Ritz formulation for modal analysis of thick, anisotropic and non-uniform electric motor stator assemblies considering axisymmetric vibration modes. [PDF]
Andreou P +3 more
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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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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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An end-to-end data-driven optimization framework for constrained trajectories
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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Animal Models for Neuroinflammation and Potential Treatment Methods
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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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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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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Summary of Multi-modal Sentiment Analysis Technology
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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