FLDR
FLDR: Fault Line Detection in Robotics FLDR is an open-source Python framework for developing, testing, and evaluating fault detection workflows for robotic inspection systems. The project provides a modular architecture for working with one-dimensional sensor signals, enabling reproducible research and rapid prototyping of fault detection algorithms. Version 0.0.1 includes core functionality for signal input/output, configurable detection pipelines, simulation utilities, evaluation metrics, structured inspection reports, and configuration management. The project follows modern Python software engineering practices, including automated testing, continuous integration, code formatting, linting, and security analysis. FLDR is designed as a foundation for research, education, and the development of intelligent inspection systems for infrastructure monitoring and related applications. Features 1. Modular fault detection framework 2. Signal input and output utilities 3. Detection pipeline 4. Simulation utilities 5. Performance metrics 6. Inspection report generation 7. Configuration management 8. Automated testing with Pytest 9. GitHub Actions continuous integration 10. Apache-2.0 licensed Topics Fault Detection, Robotics, Signal Processing, Infrastructure Inspection, Python, Scientific Computing, Machine Learning, Research Software, Sensor Data Analysis, Open Source. Citation If you use FLDR in your research, please cite this Zenodo record alongside the corresponding software version. --- This description is appropriate for a **first software release** and avoids claiming features that haven't ye t been demonstrated or implemented.