faultlinedetectionrobotics 0.0.1

Fault Line Detection in Robotics

🔧 FLDR — Fault Line Detection in Robotics

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Fault Line Detection in Robotics

Signal Processing • Fault Detection • Robotics • Infrastructure Inspection

FLDR is an open-source Python framework for developing and evaluating fault detection workflows for robotic inspection systems. The project provides modular utilities for signal processing, fault detection, simulation, metrics, and inspection reporting.

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Features

• Modular fault detection framework
• Signal input/output utilities
• Detection pipeline
• Simulation utilities
• Evaluation metrics
• Inspection report generation
• Configuration management
• Comprehensive unit tests
• GitHub Actions CI/CD
• Black formatting
• Ruff linting
• Flake8 compatibility
• Bandit security scanning
• Apache-2.0 License

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Table of Contents

• Overview
• Installation
• Quick Start
• Repository Structure
• Development
• Testing
• Continuous Integration
• Roadmap
• Contributing
• Citation
• License

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Installation

Clone the repository

git clone https://github.com/ksaad20/FLDR.git
cd FLDR

Install FLDR

pip install -e .

Install development dependencies

pip install -r requirements.txt

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Quick Start

import numpy as np

from fldr.io import save_signal, load_signal

signal = np.random.randn(1024)

save_signal(signal, "signal.csv")

loaded = load_signal("signal.csv")

print(loaded.shape)

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Repository Structure

FLDR/
│
├── .github/
├── docker/
├── docs/
├── examples/
├── fldr/
│   ├── __init__.py
│   ├── config.py
│   ├── core.py
│   ├── detector.py
│   ├── io.py
│   ├── metrics.py
│   ├── pipeline.py
│   ├── report.py
│   ├── simulation.py
│   └── utils.py
│
├── metrics/
├── tests/
│
├── LICENSE
├── Makefile
├── README.md
├── cli.py
├── mkdocs.yml
├── pre-commit-config.yaml
├── pyproject.toml
└── pytest.ini

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Development

Format code

black .

Lint

ruff check .
flake8 .

Run tests

pytest

Run coverage

pytest --cov=fldr --cov-report=xml

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Continuous Integration

GitHub Actions automatically performs:

• Black formatting
• Ruff linting
• Flake8 checks
• Pytest
• Coverage generation
• Bandit security analysis
• Safety dependency checks

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Roadmap

Future development includes:

• Additional benchmark datasets
• Advanced fault localization algorithms
• Visualization utilities
• Improved reporting
• Extended documentation
• Performance benchmarking

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Contributing

Contributions are welcome.

1. Fork the repository.
2. Create a feature branch.
3. Write tests.
4. Ensure all CI checks pass.
5. Submit a pull request.

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Citation

If FLDR contributes to your research, please cite the repository or a future archived release.

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License

This project is licensed under the Apache-2.0 License.

See the LICENSE file for details.

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Author

Kazi Saad Asif

Electrical and Electronics Engineer

GitHub: https://github.com/ksaad20