\chapter{LITERATURE REVIEW AND THEORITICAL FOUNDATION}
\section{Literature Review}
\input{chapters/id/02_literature_review/literature_review/abdeljaber2017}

\section{Theoritical Foundation}
\input{chapters/id/02_literature_review/theoritical_foundation/stft}
\input{chapters/id/02_literature_review/theoritical_foundation/machine_learning}

\bigskip
These theoretical foundations provide the methodological framework for implementing and evaluating the proposed damage localization system in this research. The combination of time-frequency analysis using STFT and classical machine learning classifiers enables an efficient and interpretable approach to structural health monitoring.