Instruments and channels
DAQ workflows, CAN and encoder logs, instrument control and structured test inputs where the system supports them.
Service 03 / Evidence and test
Connect instruments, data and analysis so a technical result can be reproduced, reviewed and used to choose the next test.
01 / Problems this addresses
Measurements become difficult to trust when procedures are informal, instrument settings are unclear or data analysis starts after the test instead of with it.
Scattered logs, manual test steps, missing operating-point context, instrument integration questions or a design decision that needs better evidence.
02 / Technical capabilities
Automation is shaped around the question the test needs to answer, not around a generic dashboard.
DAQ workflows, CAN and encoder logs, instrument control and structured test inputs where the system supports them.
Plots, efficiency maps, error analysis, Allan deviation or stability measures when the data supports the claim.
03 / Engagement workflow
State the decision and the measurable output.
Connect instruments, signals and operating points.
Capture the current behavior before changing it.
Make the useful procedure consistent.
State conditions, findings and the next test.
04 / Representative evidence
These public projects show hardware, firmware and measured evidence in different forms. They are not presented as completed client contracts.
MATLAB/Simulink integration with IMU sensing, encoder feedback, motor control and self-balancing PID behavior.
View public repository ↗Waveform captures and bench validation notes used to review an offline flyback prototype.
View public repository ↗Real-time testing, efficiency mapping, validation plots and dual-motor control integration.
View public repository ↗05 / Deliverables
The method depends on the hardware, instrumentation, data quality and measurement access available.
Start a technical discussion
Describe the system, the current test method, what is hard to reproduce and which decision the evidence needs to support.
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