A review of time-frequency methods for structural vibration analysis

By Simon A. Neild, P. McFadden, Martin S. Williams. 2003

187 citations recorded by the source corpus.

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A novel time-domain auto-regressive model for structural damage diagnosis (2005, methodology): “The selection of the AR model order is also discussed in some previous studies [4–7].”
Identification of backbone curves of nonlinear systems from resonance decay responses (2015, methodology): “Whist there are many procedures for calculating instantaneous frequency, such as the Wigner–Ville distribution (WVD) [16] and the Hilbert transform (HT) [7], the process presented here is based on the detection of the zero– crossing points of the response signal and the use of a standard interpolati”
Stock closing price prediction based on sentiment analysis and LSTM (2019, methodology): “In particular, conventional time-series analysis methods include autoregressive model (AR) [4], moving average model (MA) [5], autoregressive and moving average model (ARMA) [6] and autoregressive integrate moving average model(ARIMA) [7].”
A wavelet-based time-varying adaptive LQR algorithm for structural control (2008, background): “Wavelet-based techniques have become popular for timefrequency analysis of vibration problems [12,2,16,7,3,11,4].”