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Prediction error of Johansen cointegration residuals for structural health monitoring
Mechanical Systems and Signal Processing, 2021Abstract A novel method for structural health monitoring under environmental and operational variations (EOV) is proposed based on the prediction errors of the Johansen cointegartion (CI) residuals using a Recurrent Neural Network (RNN). The first four natural frequency time series of the structure, identified from vibration measurements over a ...
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A more powerful modification of Johansen's cointegration tests
Applied Economics, 2008We apply the idea of using reversed time series to improve the power of Johansen tests. We suggest computationally simple variants of the trace and maximum eigenvalue statistics and establish their limit distributions. Both are shown, via simulation, to yield nontrivial power gains.
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