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Operational modal analysis using symbolic regression for a nonlinear vibration system [PDF]

open access: goldJournal of Low Frequency Noise, Vibration and Active Control, 2021
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
doaj   +2 more sources

Modal Principal Component Analysis [PDF]

open access: yesNeural 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 ...
Sando, Keishi, Hino, Hideitsu
openaire   +3 more sources

Refined Composite Multiscale Fuzzy Dispersion Entropy and Its Applications to Bearing Fault Diagnosis

open access: yesEntropy, 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
doaj   +1 more source

Bearing Fault Diagnosis Using Refined Composite Generalized Multiscale Dispersion Entropy-Based Skewness and Variance and Multiclass FCM-ANFIS

open access: yesEntropy, 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
doaj   +1 more source

An end-to-end data-driven optimization framework for constrained trajectories

open access: yesData-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
doaj   +1 more source

Animal Models for Neuroinflammation and Potential Treatment Methods

open access: yesFrontiers 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
doaj   +1 more source

MODal ENergy analysis [PDF]

open access: yesJournal 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
openaire   +2 more sources

Stochastic Subspace Identification-Based Automated Operational Modal Analysis Considering Modal Uncertainty

open access: yesApplied 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
doaj   +1 more source

Summary of Multi-modal Sentiment Analysis Technology

open access: yesJisuanji 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
doaj   +1 more source

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