Add Literature Review #77

2025-05-22T18:30:36Z

meowndor commented

2025-05-22 18:30:36 +00:00

(Migrated from github.com)

This pull request introduces significant updates to the literature review and theoretical foundation sections of a LaTeX-based thesis document. It adds detailed content on structural health monitoring (SHM), including a review of a CNN-based damage detection method, theoretical explanations of Short-Time Fourier Transform (STFT), and classical machine learning algorithms for damage localization. The changes also include Indonesian translations of certain sections for bilingual support.

Literature Review Enhancements:

Added a detailed review of a CNN-based structural damage detection approach validated on a large-scale simulator, emphasizing its decentralized design and its use as a benchmark for this thesis.
Included Indonesian version of the literature review, discussing SHM methods, vibration-based damage detection techniques, and challenges in sensor placement and signal interpretation.

Theoretical Foundations:

Introduced a subsection on STFT, explaining its mathematical formulation and application in extracting time-frequency features from vibration signals for damage detection.
Added a new subsection on classical machine learning algorithms (SVM, KNN, DT, RF, NB), describing their strengths, limitations, and relevance to the dataset used in the study.

Document Structure:

Updated the main literature review and theoretical foundation index files to integrate the new content and ensure proper organization.

This pull request introduces significant updates to the literature review and theoretical foundation sections of a LaTeX-based thesis document. It adds detailed content on structural health monitoring (SHM), including a review of a CNN-based damage detection method, theoretical explanations of Short-Time Fourier Transform (STFT), and classical machine learning algorithms for damage localization. The changes also include Indonesian translations of certain sections for bilingual support. ### Literature Review Enhancements: * Added a detailed review of a CNN-based structural damage detection approach validated on a large-scale simulator, emphasizing its decentralized design and its use as a benchmark for this thesis. * Included Indonesian version of the literature review, discussing SHM methods, vibration-based damage detection techniques, and challenges in sensor placement and signal interpretation. ### Theoretical Foundations: * Introduced a subsection on STFT, explaining its mathematical formulation and application in extracting time-frequency features from vibration signals for damage detection. * Added a new subsection on classical machine learning algorithms (SVM, KNN, DT, RF, NB), describing their strengths, limitations, and relevance to the dataset used in the study. ### Document Structure: * Updated the main literature review and theoretical foundation index files to integrate the new content and ensure proper organization.

copilot-pull-request-reviewer[bot] (Migrated from github.com) reviewed 2025-05-22 18:31:51 +00:00

copilot-pull-request-reviewer[bot] (Migrated from github.com) left a comment

Pull Request Overview

This pull request adds significant content to the thesis document’s literature review and theoretical foundation sections in both Indonesian and English. Key changes include:

A detailed Indonesian literature review on traditional SHM methods and a CNN‐based structural damage detection approach.
New English sections explaining the Short-Time Fourier Transform (STFT) and classical machine learning algorithms for damage localization.
Updates to the document structure to integrate these new contents.

Reviewed Changes

Copilot reviewed 6 out of 6 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
latex/chapters/id/02_literature_review/literature_review/index.tex	Adds introductory Indonesian text discussing SHM and CNN-based damage detection.
latex/chapters/id/02_literature_review/literature_review/abdeljaber2017.tex	Adds a detailed Indonesian literature review detailing the CNN method.
latex/chapters/en/02_literature_review/theoritical_foundation/stft.tex	Adds a new subsection on STFT with mathematical and practical explanations.
latex/chapters/en/02_literature_review/theoritical_foundation/machine_learning.tex	Introduces a review of classical machine learning algorithms for damage localization.
latex/chapters/en/02_literature_review/literature_review/abdeljaber2017.tex	Adds an English literature review detailing the CNN-based detection method.
latex/chapters/en/02_literature_review/index.tex	Integrates English literature review and theoretical foundation sections, though referencing needs verification.

## Pull Request Overview This pull request adds significant content to the thesis document’s literature review and theoretical foundation sections in both Indonesian and English. Key changes include: - A detailed Indonesian literature review on traditional SHM methods and a CNN‐based structural damage detection approach. - New English sections explaining the Short-Time Fourier Transform (STFT) and classical machine learning algorithms for damage localization. - Updates to the document structure to integrate these new contents. ### Reviewed Changes Copilot reviewed 6 out of 6 changed files in this pull request and generated 2 comments. <details> <summary>Show a summary per file</summary> | File | Description | | ---- | ----------- | | latex/chapters/id/02_literature_review/literature_review/index.tex | Adds introductory Indonesian text discussing SHM and CNN-based damage detection. | | latex/chapters/id/02_literature_review/literature_review/abdeljaber2017.tex | Adds a detailed Indonesian literature review detailing the CNN method. | | latex/chapters/en/02_literature_review/theoritical_foundation/stft.tex | Adds a new subsection on STFT with mathematical and practical explanations. | | latex/chapters/en/02_literature_review/theoritical_foundation/machine_learning.tex | Introduces a review of classical machine learning algorithms for damage localization. | | latex/chapters/en/02_literature_review/literature_review/abdeljaber2017.tex | Adds an English literature review detailing the CNN-based detection method. | | latex/chapters/en/02_literature_review/index.tex | Integrates English literature review and theoretical foundation sections, though referencing needs verification. | </details>

latex/chapters/en/02_literature_review/index.tex

						
				@@ -0,0 +1,10 @@

				\chapter{LITERATURE REVIEW AND THEORETICAL FOUNDATION}

copilot-pull-request-reviewer[bot] (Migrated from github.com) commented

2025-05-22 18:31:51 +00:00

Consider correcting 'THEORITICAL' to 'THEORETICAL' in the chapter title for clarity and professionalism.

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

\section{Theoretical Foundation}

Consider correcting 'THEORITICAL' to 'THEORETICAL' in the chapter title for clarity and professionalism. ```suggestion \chapter{LITERATURE REVIEW AND THEORETICAL FOUNDATION} \section{Literature Review} \input{chapters/id/02_literature_review/literature_review/abdeljaber2017} \section{Theoretical Foundation} ```

latex/chapters/en/02_literature_review/index.tex

						
				@@ -0,0 +1,10 @@

				\chapter{LITERATURE REVIEW AND THEORETICAL FOUNDATION}

				\section{Literature Review}

				\input{chapters/id/02_literature_review/literature_review/abdeljaber2017}

copilot-pull-request-reviewer[bot] (Migrated from github.com) commented

2025-05-22 18:31:51 +00:00

The English index file is currently referencing the Indonesian literature review file; consider updating the path to the English literature review file to ensure language consistency across the document.

nuluh (Migrated from github.com) requested changes 2025-05-22 18:34:53 +00:00

nuluh (Migrated from github.com) left a comment

I think there is something wrong. No entry index.tex for literature review

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Reference: nuluh/thesis#77

				`@@ -0,0 +1,10 @@`
				`\chapter{LITERATURE REVIEW AND THEORETICAL FOUNDATION}`