Study R01
PlannedMeasurement and recovery cycle
When should a formaldehyde estimate be reported, and how much recovery time is needed before the next measurement?
- Method
- Dynamic modeling & classical machine learning
- Summary updated
Why this study
Examine how reporting decisions and recovery between measurements affect the next formaldehyde estimate. The comparison would inform the measurement cycle used in prototype development.
Proposed approach
Model the measurement and recovery cycle, including sensor memory from previous measurements.
Compare reporting and recovery choices using dynamic modeling and classical machine learning.
Evaluate estimation error, false positives, cycle time, and purge-air use.
Intended output
Compare estimation error, false positives, cycle time, and purge-air use, accounting for sensor memory from previous measurements.
Model predictions will need experimental verification under the intended operating conditions.
Progress updates
No study progress updates have been published yet.
Related research
Background reading
Ethanol Interference in Formaldehyde Sensors: What the Evidence Supports →Literature review