Hybrid diagnostic algorithms for higher order nonlinear systems
Abstract
The fault diagnostics of practical nonlinear systems is a very important problem that needs to be solved to be able to make giant leaps in control and autonomy. The current state of the art leaves much to be desired with most of the diagnostic techniques being quite ad hoc and heuristic without general applicability. Building on preliminary success over the past year, this project proposes innovative and rigorous techniques involving the nonlinear characteristics in a computational intelligence setting to diagnose changes in complex systems. Our approach consists of developing a hybrid method for diagnostics using a combination of nonlinear dynamic analysis and com- putational intelligence techniques. In this stage of the project, three nonlinear oscillators are chosen with su cient generality to be able to apply to a host of disciplines. We aim to derive a general algorithm for the diagnostics of large order nonlinear systems, coupled systems and network of systems. The theoretical approach will be validated using custom designed experimental set ups at Villanova; we also plan to validate our algorithms by applying them to experimental data from practical machinery provided by United Technologies Research Center (UTRC) under a separate agreement as noted in the attached letter of support.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2016
- Source ID
- N000141512311
Entities
People
- C. Nataraj
Organizations
- Office of Naval Research
- United States Navy
- Villanova University