THE EXTENDED KALMAN FILTER IN THE FREQUENCY DOMAIN FOR THE IDENTIFICATION OF MECHANICAL STRUCTURES EXCITED BY SINUSOIDAL MULTIPLE INPUTS-Reference-Cited by-同舟云学术

THE EXTENDED KALMAN FILTER IN THE FREQUENCY DOMAIN FOR THE IDENTIFICATION OF MECHANICAL STRUCTURES EXCITED BY SINUSOIDAL MULTIPLE INPUTS

Published:2000-05 Issue:3 Volume:14 Page:327-341
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

PROVASI RICCARDO,ZANETTA GIAN ANTONIO,VANIA ANDREA

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference15 articles.

1. Identification of mass, stiffness and damping matrices of mechanical systems;FRITZEN;Journal of Vibration, Acoustics, Stress, and Reliability in Design,1986

2. A linear, frequency domain filter for parameter identification of vibrating structures;MOTTERSHEAD;Transactions of the ASME,1987

3. dentification of turbomachinery foundations from rundown records-A preliminary experimental study;TEE,1988

4. The least square method applied to identify rotor/foundation parameters;LEES,1988

5. Direct system parameter identification of mechanical structures with application to modal analysis;LEURIDAN,1981

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bio-based hybrid planar truss: Experimental testing, FE modeling and Bayesian model updating;Engineering Structures;2024-06

2. Operational modal analysis using order-based analysis in a two-stage planetary gear with mechanical power recirculation;Comptes Rendus. Mécanique;2022-07-28

3. Identification of oil starvation in hydrodynamic journal bearing using rotor vibration and Extended Kalman Filter;Tribology International;2022-05

4. Model-Based Identification of Rotor-Bearing System Parameters Employing Adaptive Filtering;Mechanisms and Machine Science;2018-08-19

5. Experimental evaluation of a quasi-modal parameter based rotor foundation identification technique;Journal of Sound and Vibration;2017-12