Akira Saito

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Associate Professor

Meiji University

Japan

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About

Dr. Akira Saito is an Associate Professor at Meiji University in Japan. His research areas primarily include dynamic mode decomposition, vibration analysis, and damage identification in nonlinear systems. His recent articles focus on data-driven methodologies for analyzing dynamic responses in engineering applications, particularly within electric machines and structural health monitoring.

Recent Grants

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Inverse crack identification and optimal sensor placement for mechanical structures based on normal modes of vibration

Open Date: 2020-04-01

Close Date: 2023-03-31

Articles (12)

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2025

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2024

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2023

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2023

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2023

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2021

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2020

Collaborators (1)

MASAMI MATSUBARA

Waseda University

JAPAN

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Akira Saito

Research Interests

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Recent Grants

Articles (12)

Short-time dynamic mode decomposition: a data-driven forced response analysis of nonlinear systems under swept-sine excitation

Effects of Rotated Stacking, Bolts, and Bonded Regions on Modal Parameters of Bonded Stator Cores of Electric Machines

Effects of Rotated Stacking, Bolts, and Bonded Regions on Modal Parameters of Bonded Stator Cores of Electric Machines

Tire vibration analysis of three-dimensional flexible ring with brush model under static contact conditions by using frequency-based substructuring

Sound synthesis of drums based on modal representation of transfer functions

Re-designing strategy to enable a sub-system to function as a dynamic vibration absorber

Data-Driven Initial Gap Identification of Piecewise-Linear Systems Using Sparse Regression and Universal Approximation Theorem

Damage identification based on topology optimization and Lasso regularization

Damage identification using noisy frequency response functions based on topology optimization

Data-driven model order reduction for structures with piecewise linear nonlinearity using dynamic mode decomposition

Estimation of modal parameters by using the ratios of imaginary to real parts of frequency response functions

Data-driven experimental modal analysis by Dynamic Mode Decomposition

Collaborators (1)

MASAMI MATSUBARA

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