test-correlation

Solid

Skill for correlating test results with analytical predictions and model validation

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 95/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Test Correlation Skill ## Purpose The Test Correlation skill provides capabilities for correlating test results with analytical predictions, enabling model validation, calibration, and uncertainty quantification for mechanical systems. ## Capabilities - Test data processing and analysis - Prediction-to-test comparison - Model calibration techniques - Uncertainty quantification - Statistical analysis and regression - Correlation report generation - Model updating recommendations - Validation criteria assessment ## Usage Guidelines ### Correlation Methodology #### Data Processing 1. **Test Data Preparation** ``` Data quality checks: - Missing data handling - Outlier detection - Noise filtering - Time synchronization - Unit verification ``` 2. **Signal Processing** | Operation | Purpose | Method | |-----------|---------|--------| | Low-pass filter | Remove noise | Butterworth | | Resampling | Match analysis | Interpolation | | Baseline correction | Remove offset | Linear/polynomial | | Windowing | FFT preparation | Hanning, Hamming | 3. **Derived Quantities** - Integrate acceleration to velocity/displacement - Differentiate displacement to velocity - Calculate strain from displacement - Compute stress from strain #### Prediction Extraction 1. **Analysis Results** - Match output locations to sensor positions - Match load cases to test conditions - Account for coordinate systems - Include analysis unce...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills