Statistical Monitoring Methods based on Hierarchical Statistical Models and Information Theoretic Measures.
- Resource Type
- Theses
- Authors
- Das, Devashish
- Source
- Dissertation Abstracts International; Dissertation Abstract International; 76-11B(E).
- Subject
- Industrial engineering
Management
- Language
- English
Summary: (iii) Extracting nonlinear invariant measures from time series data: Recently data driven methods are being adopted in developing technologies when it is hard to understand the underlying process from first principles. In order to analyze the data we extracted various non-linear measures such as sample entropy, correlation dimension and Lyapunov's exponent from the signal. These non-linear metrics are based on principles of information theory and non-linear dynamics. They condense the rich information content of the complex signals.