By Topic

Pattern identification using lattice spin systems: A thermodynamic formalism

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Gupta, S. ; Mechanical Engineering Department, The Pennsylvania State University, Pennsylvania 16802, USA ; Ray, A.

Your organization might have access to this article on the publisher's site. To check, click on this link: 

The paper addresses data-driven statistical pattern identification in complex dynamical systems, where the concept is built upon thermodynamic formalism of symbolic data sequences in the setting of lattice spin systems. The transfer matrix approach has been used for generation of pattern vectors from time series data of observed parameters. Efficacy of pattern identification is demonstrated for early detection of anomalies (i.e., deviations from the nominal pattern) on an experimental apparatus of nonlinear active electronic circuits.

Published in:

Applied Physics Letters  (Volume:91 ,  Issue: 19 )