Towards an Automatic Modal Parameter Estimation Framework: Mode Clustering

Vakilzadeh, Majid Khorsand; Yaghoubi, Vahid; Johansson, Anders; Abrahamsson, Thomas

doi:10.1007/978-3-319-15251-6_23

Cited by 1 publication

(1 citation statement)

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“…Based on the FDD method, in [12] an algorithm is developed for fully automated operational modal analysis. [13] proposed a mode clustering as a preliminary step for performing a physical mode selection.…”

Section: Introductionmentioning

confidence: 99%

An automatic approach towards modal parameter estimation for high-rise buildings of multicomponent signals under ambient excitations via filter-free Random Decrement Technique

Nasser

Martin

et al. 2016

Mechanical Systems and Signal Processing

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International audienceThis paper proposes an automatic modal analysis approach for signals of high-rise buildings recorded under real-world ambient excitations. The fact of working over such type of signals is faced with several challenges: the time-domain convolution between the system impulse response and the seismic noise, the existence of several components, the presence of closely-spaced frequency modes, with high additive noises, and low, exponential and damped amplitudes. The proposed approach handles these challenges simultaneously without the need for a user intervention. It is based on a filter-free Random Decrement Technique to estimate the free-decay response, followed by a spectral-based method for a rough modal estimate and finalized by a Maximum-Likelihood Estimation process to refine the modal estimates. Each of these processes is responsible to tackle one or more of the aforementioned challenges in the aim to provide an automatic and moreover a reliable modal analysis of the studied signals

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Section: Introductionmentioning

confidence: 99%