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Register for ALIVE Symposium until August 31
Join us for the MaP ALIVE Symposium 2024, taking place on September 12-13 at ETH Center
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This position, matriculated at ETH Zurich, is part of the IntelliWind MSCA Doctoral Network funded by the European Commission’s Horizon 2023 Marie Skłodowska-Curie programme.
Subspace-based noise covariance estimation for Kalman filter in virtual sensing applications
In newly published work in MSSP (Elsevier), we explore a direct approach to estimate the covariance of possibly correlated process and measurement noises, from actual datasets based on subspace identification. We show that the subspace-based method outperforms the established autocovariance least-squares scheme and provides a good initial guess on the noise covariance, even for the case where the assumed system model is subjected to modeling errors.
A robot-assisted automated solution for Bridge Identification
In this latest work, led by Xudong Jian, we present a robot-assisted automated solution for identifying bridge frequencies and high-spatial-resolution mode shapes using a minimal number of sensors. A theoretical analysis is conducted to demonstrate the feasibility of the proposed solution and to guide configuration of hardware parameters. An output-only frequency domain decomposition (FDD) algorithm is integrated with the proposed stop-and-go mobile sensing scheme for operational modal analysis.