Measurement based algorithms for estimating low-frequency electromechanical modes
serve as useful practical methods to monitor the modal properties of power system …

This study provides a review of methods used for stability monitoring in two different fields,
electrical power systems and vibration analysis, with the aim of increasing awareness of and …

The objective of this paper is to develop an online system parameter estimation technique
from the response measurements through using the recursive covariance‐driven stochastic …

The problem of parametric output-only identification of a time-varying structure based on
vector random vibration signal measurements is considered. A functional series vector time …

A novel recursive predictor-based subspace identification method is presented to identify
linear time-invariant systems with multi inputs and multi outputs. The method is implemented …

This paper proposes a technique for optimizing the power generated from stationary
stochastic vibratory disturbances, using a resonant energy harvester. Although the theory is …

Bayesian filtering based approaches for diagnosis of structural damage have been widely
employed in structural health monitoring (SHM) research. The approach however may lead …

In this paper a new wavelet-based state-space method for the identification of dynamic
parameters in linear time-varying systems is presented using free vibration response data …

The behavior of story‐isolated structures during an earthquake is highly affected by the
characteristics of the isolation system and its location along the height of the building …

The focus of this paper is Bayesian modal parameter recursive estimation based on an
interacting Kalman filter algorithm with decoupled distributions for frequency and damping …