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INNOVATIVE APPROACHES TO STRUCTURAL HEALTH MONITORING
Scope
The focus of this paper is to investigate the applicability of on-line condition
assessment of structural damper components. A relatively simple approach developed
by Masri and Caughy [1] allowing the identification of a broad class of dynamic
models was in this effort. Complex issues typically associated with nonparametric
identification methods, such as greater mathematical complexity, convergence
difficulties, excessive computational effort, restrictions on the nature of the dynamic
systems to be evaluated, and restrictions on the allowable system excitations are
addressed through the application of regression techniques coupled with orthogonal
polynomials. Results of analytical and experimental studies are presented in
succeeding sections to substantiate the identification algorithm's robustness and
applicability to real-time in-situ system health monitoring.
2. SIMULATION STUDIES
2.1. Overview of Nonlinear System Model
Figure 2.1 Noise polluted damper simulation response, random excitation