Tidal Blade Test Analysis
Public-safe structural-test workflows for full-scale tidal blade data: TDMS inspection, static response, fatigue-cycle summaries, natural-frequency helpers and applied-AI screening.
A curated set of public-safe repositories for engineering-data QA/QC, structural-test analysis, urban drainage telemetry, digital-twin prototypes, anomaly detection, scientific ML and environmental monitoring.
Public-safe structural-test workflows for full-scale tidal blade data: TDMS inspection, static response, fatigue-cycle summaries, natural-frequency helpers and applied-AI screening.
Public-safe urban drainage telemetry QA/QC with synthetic monitoring data, static reports, anomaly screening and synthetic monitoring-map outputs.
Scientific-ML toolkit and Streamlit GUI for curvature-based meander classification using CWT spectra, autoencoder latent spaces and clustering.
Engineering-data QA/QC tool for TDMS files, with timing metadata inspection, group/channel synchronisation review and continuity diagnostics.
Confidentiality-safe digital-twin demonstration using synthetic sensor data, validation checks, anomaly detection, operating-state classification and automated reports.
Signal-processing and ML workflow for structural-test monitoring, including feature extraction, similarity scores and anomaly labels.
Research-software implementation of a reduced meander-morphodynamics model, with reproducible examples, documentation and GUI/CLI execution paths.
Collaborative workflow for very-high-resolution satellite-image pre-processing, structured annotation and multi-observer count comparison for stranded whales and dolphins.