FIELD NOTES
Get better at hardware test.
Guides, tutorials, and best practices to help you build better hardware tests.
- Concepts & Methodology
Predictive Maintenance from Test Data
Learn how to use production test data trends in TofuPilot to predict equipment failures and schedule maintenance before downtime occurs.
- Scaling & Monitoring
Test Station Monitoring and Performance
Learn how to monitor test station health, track uptime metrics, and detect performance degradation using TofuPilot analytics.
- Test Data & Analytics
What Is Test Observability
Test observability gives full visibility into what your test systems are doing, why they fail, and how they perform. Learn how it applies to manufacturing test.
- Concepts & Methodology
What Is Design Validation Testing
Design validation testing (DVT) confirms a product meets its design requirements. Learn how to structure DVT in Python and track results with TofuPilot.
- Migrating from Legacy Systems
Migrate from Custom Test Databases
Replace your custom PostgreSQL, SQLite, or Access test database with structured test data collection using OpenHTF and TofuPilot.
- Compliance & Traceability
How to Build a PPAP Test Package
Learn how to assemble PPAP test documentation from production test data using TofuPilot, including control plans, MSA, and process capability reports.
- Test Types & Methods
Track Repair and Rework Data
Learn how to structure OpenHTF tests so repair loops, rework actions, and retests all link to the same serial number in TofuPilot.
- Test Types & Methods
Design for Testability: PCB Best Practices
PCB design for testability (DFT) guidelines covering test point placement, JTAG boundary scan, programming headers, and how DFT enables automated testing.
- Scaling & Monitoring
Video and Log Sync for Hardware Tests
Learn how to attach video recordings, log files, and supplementary data to hardware test runs in TofuPilot for synchronized review.
- Test Types & Methods
Motor and Actuator Testing
Learn how to automate motor and actuator production tests, capture torque, speed, and vibration data, and track results with TofuPilot.
- Scaling & Monitoring
How to Optimize Manufacturing Test Stations
Test station optimization reduces cycle time and increases throughput. Learn how to identify bottlenecks and improve station performance with TofuPilot.
- Concepts & Methodology
What Is Autonomous Test Closure
Autonomous test closure uses AI to determine when a unit has been tested enough. Learn how it works, where it applies, and what data it needs.
