Abstract
Based on the matrix mapping theory, an improved eigensystem realization algorithm (ERA), called C/ERA, is proposed in this paper. It rebuilds a Hankel matrix by replacing all elements of each anti-subdiagonal with the arithmetic average of the elements along the anti-subdiagonal, and introduces the concept of using the Frobenius norm (L2-norm) to control the iterations number after implementing the SVD algorithm by the ERA method. With the data associated with a 5-DOF mass-spring-dashpot system and jacket-type platform under impact loading, it is demonstrated that C/ERA has a better capacity of de-noising, and a higher accuracy for low-order modes, and can identify more high-order modes than the ERA method.
| Original language | English |
|---|---|
| Pages (from-to) | 3643-3650 |
| Number of pages | 8 |
| Journal | Cluster Computing |
| Volume | 22 |
| DOIs | |
| State | Published - 1 Mar 2019 |
| Externally published | Yes |
Keywords
- C/ERA
- De-noising
- Modal parameter identification
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