PURPL-Purdue/Turbopump
Apr 2026 – Apr 2026
1 Month active
Languages Used
CSVMATLAB
Technical Skills
algorithm developmentdata analysissignal processingtesting
Soonbii
PROFILE
Soonbii
Worked on the PURPL-Purdue/Turbopump repository to develop an FFT-based shaft speed measurement and analysis tool, enabling more accurate RPM extraction from sensor data for turbine performance diagnostics. Applied signal processing techniques, specifically FFT algorithms, to analyze and validate shaft-speed data, supporting reproducibility and benchmarking. Enhanced the clarity and maintainability of the MATLAB tooling by refactoring and renaming key components, and introduced test data in CSV format to facilitate robust validation. Focused on improving onboarding and reducing the risk of misuse through clearer tooling structure. Demonstrated skills in algorithm development, data analysis, and testing, with an emphasis on data-driven engineering.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
52
Activity Months1
Your Network
32 peopleWork History
April 2026
3 Commits • 1 Features
Apr 1, 2026Month: 2026-04 | PURPL-Purdue/Turbopump Key features delivered: - FFT-based Shaft Speed Measurement and Analysis: Implemented FFT-based RPM extraction from sensor data to enhance turbine performance analysis. Renamed FFT tool for clarity in shaft-speed measurement tooling. Added test data CSV for shaft speed measurement to support validation. Major bugs fixed: - No major bugs reported this month. Focused on tooling clarity and data validation to reduce future defects. Overall impact and accomplishments: - Enhanced capability to analyze shaft-speed and turbine performance with FFT-based RPM measurements, enabling faster diagnostics and better performance optimization. Improved tooling naming reduces onboarding time and risk of misuse. Added validation data to support reproducibility and benchmarking. Technologies/skills demonstrated: - Signal processing (FFT), RPM measurement from sensor data, data validation, MATLAB tooling, version control (commit references).
3 Commits • 1 Features
Apr 1, 2026Month: 2026-04 | PURPL-Purdue/Turbopump Key features delivered: - FFT-based Shaft Speed Measurement and Analysis: Implemented FFT-based RPM extraction from sensor data to enhance turbine performance analysis. Renamed FFT tool for clarity in shaft-speed measurement tooling. Added test data CSV for shaft speed measurement to support validation. Major bugs fixed: - No major bugs reported this month. Focused on tooling clarity and data validation to reduce future defects. Overall impact and accomplishments: - Enhanced capability to analyze shaft-speed and turbine performance with FFT-based RPM measurements, enabling faster diagnostics and better performance optimization. Improved tooling naming reduces onboarding time and risk of misuse. Added validation data to support reproducibility and benchmarking. Technologies/skills demonstrated: - Signal processing (FFT), RPM measurement from sensor data, data validation, MATLAB tooling, version control (commit references).
April 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVMATLAB
Technical Skills
algorithm developmentdata analysissignal processingtesting
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