Effect of noise on output-only modal identification of beams
In most cases, structural health monitoring depends on the determination of the modal parameters of the first few modes of a structure. The data that are used to identify these modes by output-only methods include the structure response together with noise. The presence of noise in the structure response affects the modal parameters. The current study was undertaken to examine the possibility and accuracy of identifying the modal parameters of beams in the presence of noise. For this purpose, the modal parameters of the different modes of single-span beams were obtained using output data with different signal-to-noise ratios. The acceleration signals were obtained by transient analysis and then different powers of noise were generated and added to the signals. The modal parameters of the beams were obtained using output-only methods. Parameters having signal-to-noise ratios of greater than 13.98 dB for all modes considered were identified. At a signal-to-noise ratio of -6.02 to 13.98 dB (higher noise level), it was not possible to identify the modal parameters of the first mode of beams, but the parameters of the higher modes were identified with good accuracy.
Code (0)
등록된 구현이 없습니다.
Tasks
Structural Health MonitoringSimilar Papers 제목 키워드 기반
NExT-LF: A Novel Operational Modal Analysis Method via Tangential Interpolation
Operational Modal Analysis (OMA) is vital for identifying modal parameters under real-world conditions, yet existing methods often face challenges with noise sensitivity and stability. This work introduces NExT-LF, a nov…
Cantilever BeamOutput-only Modal Identification of beams with different boundary condition
Structural Health Monitoring (SHM) evaluates the integrity of a structure by observing its dynamic responses by an array of sensors over time to determine the current health state of the structure. The most important ste…
Structural Health MonitoringImproved Tangential Interpolation-based Multi-input Multi-output Modal Analysis of a Full Aircraft
In the field of Structural Dynamics, modal analysis is the foundation of System Identification and vibration-based inspection. However, despite their widespread use, current state-of-the-art methods for extracting modal …
Identification of Switched Autoregressive and Switched Autoregressive Exogenous Systems from Large Noisy Data Sets
The paper introduces novel methodologies for the identification of coefficients of switched autoregressive and switched autoregressive exogenous linear models. We consider cases which system's outputs are contaminated by…
Identification of Errors-in-Variables ARX Models Using Modified Dynamic Iterative PCA
Identification of autoregressive models with exogenous input (ARX) is a classical problem in system identification. This article considers the errors-in-variables (EIV) ARX model identification problem, where input measu…