kicad-circuit-analysis 0.0.1
Professional Circuit Quality Assurance and FMEA Analysis for KiCAD
Requires Python: >=3.10
Keywords: ai-analysis, circuit-analysis, eda, electronics, fmea, kicad, quality-assurance, risk-assessment

# kicad-circuit-analysis

**Professional Circuit Quality Assurance and FMEA Analysis for KiCAD**

A comprehensive Python library for quality assurance and failure mode analysis of KiCAD circuit designs. Provides AI-powered FMEA analysis, design rule verification, and comprehensive circuit validation for professional electronics development.

## 🚀 Key Features

- **🧠 AI-Powered FMEA**: Comprehensive failure mode and effects analysis with AI insights
- **📊 Circuit Analysis**: Deep analysis of schematic and PCB designs
- **✅ Quality Assurance**: Professional QA workflows and validation
- **🤖 AI Integration**: Native MCP server for AI-assisted analysis
- **📈 Risk Assessment**: Quantitative risk scoring and mitigation strategies
- **📋 Professional Reports**: Detailed analysis reports for engineering review
- **🔧 KiCAD Integration**: Seamless integration with KiCAD schematic and PCB files

## 🆚 vs. Existing Solutions

| Feature | kicad-circuit-analysis | Basic ERC | Manual FMEA |
|---------|----------------------|-----------|-------------|
| **AI-Powered Analysis** | ✅ Advanced ML models | ❌ None | ❌ Manual only |
| **FMEA Integration** | ✅ Automated + Expert | ❌ None | ⚠️ Manual |
| **Risk Quantification** | ✅ Probability scoring | ❌ None | ⚠️ Subjective |
| **Component Intelligence** | ✅ Library + AI | ❌ Basic | ❌ None |
| **Professional Reports** | ✅ Publication ready | ❌ Basic | ⚠️ Templates |
| **KiCAD Integration** | ✅ Native file parsing | ✅ Built-in | ❌ External |

## 📦 Installation

```bash
# Install from PyPI (coming soon)
pip install kicad-circuit-analysis

# Or install from source
git clone https://github.com/circuit-synth/kicad-circuit-analysis.git
cd kicad-circuit-analysis
pip install -e .
```

## 🎯 Quick Start

### FMEA Analysis

```python
import kicad_circuit_analysis as kca

# Load circuit files
analyzer = kca.FMEAAnalyzer()
analyzer.load_schematic('power_supply.kicad_sch')
analyzer.load_pcb('power_supply.kicad_pcb')

# Run comprehensive FMEA
report = analyzer.run_comprehensive_fmea(
    ai_enhanced=True,
    risk_assessment=True,
    mitigation_strategies=True
)

# Generate professional report
report.export_pdf('fmea_analysis.pdf')
report.export_excel('fmea_data.xlsx')
```

### Circuit Quality Assessment

```python
# Quality assurance workflow
qa = kca.QualityAssurance()
qa.load_project('my_project.kicad_pro')

# Comprehensive analysis
results = qa.analyze_design(
    checks=['electrical', 'thermal', 'mechanical', 'manufacturing'],
    ai_insights=True
)

# Risk scoring
risk_score = qa.calculate_risk_score(results)
print(f"Overall design risk: {risk_score}/100")
```

### AI-Powered Component Analysis

```python
# Component-level analysis
component_analyzer = kca.ComponentAnalyzer()
failures = component_analyzer.analyze_component('U1', component_type='STM32F4')

# AI failure prediction
predictions = component_analyzer.predict_failure_modes(
    component='U1',
    environment={'temp_max': 85, 'humidity': 90},
    use_ai=True
)
```

## 🏗️ Architecture

```
kicad-circuit-analysis/
├── python/                          # Core Python library  
│   ├── kicad_circuit_analysis/
│   │   ├── core/                   # Core analysis engine
│   │   ├── fmea/                    # FMEA analysis modules
│   │   ├── analysis/               # Circuit analysis algorithms
│   │   ├── mcp/                     # MCP server interface
│   │   └── utils/                   # Utilities and helpers
│   └── tests/                       # Comprehensive test suite
├── mcp-server/                      # TypeScript MCP server
└── examples/                        # Usage examples
```

## 🧠 AI-Enhanced Analysis

The library includes advanced AI capabilities:

- **Failure Mode Prediction**: ML models trained on component failure databases
- **Risk Quantification**: Probabilistic risk assessment with uncertainty analysis
- **Design Optimization**: AI-suggested improvements for reliability
- **Expert System**: Knowledge base of best practices and failure patterns

## 🤝 Contributing

We welcome contributions! See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.

## 📄 License

MIT License - see [LICENSE](LICENSE) for details.

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**Built with ❤️ by the Circuit-Synth team**