• Aucun résultat trouvé

Subspace-based system identification and fault detection: Algorithms for large systems and application to structural vibration analysis

N/A
N/A
Protected

Academic year: 2021

Partager "Subspace-based system identification and fault detection: Algorithms for large systems and application to structural vibration analysis"

Copied!
242
0
0

Texte intégral

Figure

Figure 4.1 – Stabilization diagram: natural frequencies vs. model order from system identification with data-driven UPC algorithm.
Figure 4.2 – Mode shapes identified with data-driven UPC algorithm.
Figure 5.2 – Accumulated computation times for multi-order SSI system identification up to different model orders n ∗ with maximal model order n max = 500.
Figure 5.5 – Stabilization diagram of Z24 Bridge containing the identified natural frequencies at model orders 1,
+7

Références

Documents relatifs

Emmanuel LIZE, Marc REBILLAT, Nazih MECHBAL, Christian BOLZMACHER - Spatial integration of baseline-free damage detection algorithms based on dual-PZT for the structural

Spatial integration of baseline- free damage detection algorithms based on dual-PZT for the structural health monitoring of anisotropic composite aeronautic structures..

For the fault detection problem described in Section 2.1, we develop a GAN based deep autoencoder, which uses data set with normal operating conditions (let us define this data space

In [13], based on the nonhomogeneous HOSM approach, a robust observer for the unknown and exogenous switching signal is proposed to solve the problem of continuous and discrete