The ssi algorithm module
This module provides a comprehensive implementation of the Stochastic Subspace Identification (SSI) algorithm family for modal analysis and system identification [BPDG99], [MiDo11], [MDM16]. It supports both single‐setup and multi‐setup experimental configurations, as well as input-output scenarios using OMAX (Operational Modal Analysis with eXogenous inputs). Both data‐driven and covariance‐driven algorithms are included, with optional uncertainty quantification for the modal parameters [DLM13].
- Classes:
SSIImplements the SSI algorithm for single setup experiments.
SSI_MSExtends
SSIfor multi-setup experiments.
Important
Each class contains methods for executing the SSI algorithm, extracting modal parameters, plotting results, and additional utilities relevant to the specific SSI approach.
Note
Users should be familiar with the concepts of modal analysis and system identification to effectively use this module.