Residual Gas Analyzer Sensor Auto-Tuning for Peak Calibration
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Solution Overview
Problem
Manual calibration of sensors in mass spectrometers and residual gas analyzers is time-consuming, prone to human error, and diverts technicians from more critical tasks, leading to manufacturing delays and increased costs.
Innovation Solution
An automated method for calibrating sensors, which involves measuring standard samples, fitting peak models, using dynamic time warping for alignment, and adjusting sensor parameters to meet predetermined tolerances, with the option to require technician intervention if maximum iterations are reached without achieving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration is performed by technicians, then calibration accuracy can be ensured through human judgment, but calibration time increases and technician availability for other tasks decreases
Solution Approach 1:
The calibration system performs self-calibration by automatically comparing sensor readings with reference values from standard samples, eliminating the need for continuous manual intervention while maintaining calibration accuracy through algorithmic peak detection and parameter adjustment
Solution Approach 2:
The patent replaces manual mechanical calibration operations with an automated computer-controlled system that uses algorithms to detect spectral peaks, calculate deviations, and adjust sensor parameters, thereby reducing calibration time while maintaining precision
2Manufacturing precision
If manual calibration is performed step-by-step, then calibration details can be controlled, but human error increases and consistency decreases
Solution Approach 1:
The system implements automated feedback loops where sensor readings are continuously compared against reference values, and adjustments are automatically made based on detected deviations, ensuring consistent and repeatable calibration results without human error
Solution Approach 2:
The patent uses reference spectra from standard samples as templates to compare against sensor readings, copying the known correct spectral patterns to validate and adjust sensor performance, thereby ensuring calibration consistency
3Measurement precision
If technicians are dedicated to calibration tasks, then calibration quality improves, but productivity for troubleshooting other problems decreases
Solution Approach 1:
The calibration system performs self-calibration automatically, freeing technicians from routine calibration tasks while maintaining high calibration quality through automated algorithms, thereby increasing technician availability for higher-value troubleshooting activities
Solution Approach 2:
The patent introduces an automated control system as an intermediary between the sensor and the technician, handling the repetitive calibration operations while allowing technicians to focus on complex problem-solving tasks that require human judgment
Data Source
AI summary
A method for automatically calibrating a sensor for a residual gas analyzer includes measuring a known sample by the sensor and obtaining data measurements at a first mass unit. A peak model function is fitted to the data to determine an existence of a peak. The peak model function is aligned to the data using dynamic time warping to determine peak features. It is determined whether a position of a peak center and a peak width are within a predetermined tolerance and, if so, the previous steps are performed for a next mass unit. If the position peak center or the peak width at the first mass unit are outside the predetermined tolerance, a sensor parameter is adjusted and another iteration of the calibration is performed. A signal is issued after a maximum number of iterations has been performed and the peak center and width are outside the predetermined tolerance.