Measurement System Auto-Calibration Using Reference Device
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Measurement systems face errors due to environmental stimuli affecting components like transmitters and receivers, leading to increased manufacturing costs and limited operating applications, necessitating effective calibration techniques.
Innovation Solution
Incorporating a reference device in the signal processing chain that responds to excitation signals, allowing for auto-calibration by capturing calibration samples and generating compensated measurement signals that account for phase and amplitude errors, thereby reducing manufacturing costs and improving operating characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If rigid design specifications are imposed on transmitters and receivers to ensure known response to environmental factors, then measurement precision is improved, but manufacturing costs increase
Solution Approach 1:
The system performs preliminary calibration by capturing calibration samples with a reference device before actual measurements. This preliminary action characterizes the response of transmitters and receivers to environmental factors, allowing the system to compensate for their effects without requiring expensive rigid specifications during manufacturing
Solution Approach 2:
A reference device is introduced as an intermediary element with known response characteristics. This reference device serves as a mediator to measure and characterize the system's response to environmental factors, enabling compensation without imposing strict manufacturing specifications on the transmitters and receivers
2Measurement precision
If rigid design specifications are imposed on transmitters and receivers to ensure known response to environmental factors, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary calibration by capturing calibration samples with a reference device before actual measurements. This preliminary action characterizes the response of transmitters and receivers to environmental factors, allowing the system to compensate for their effects without requiring expensive rigid specifications during manufacturing
Solution Approach 2:
The system uses feedback from calibration samples to generate compensation factors that correct measurements. By continuously characterizing the system response through calibration and applying corrections based on this feedback, the system achieves high measurement precision without complex rigid design specifications
3Measurement precision
If environmental factors are controlled within predetermined ranges, then measurement precision is improved, but adaptability decreases
Solution Approach 1:
The system changes parameters by capturing calibration samples at different environmental conditions and frequencies. This allows the system to adapt to varying environmental factors and extend its operating range while maintaining measurement precision through compensation based on the characterized response
4Measurement precision
If calibration is performed to remove errors from component responses to environmental stimuli, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary calibration by capturing calibration samples with a reference device before actual measurements. This preliminary action characterizes the response of transmitters and receivers to environmental factors, allowing the system to compensate for their effects without requiring expensive rigid specifications during manufacturing
Solution Approach 2:
The calibration process is integrated into the measurement workflow, allowing continuous operation. The system captures calibration samples and generates compensation factors in a streamlined manner that minimizes interruption to measurement activities while maintaining high precision
Data Source
AI summary
Techniques to provide calibration of a measurement system in conjunction with measurement operations. The techniques may include providing a reference device in a signal processing chain within the measurement system. An excitation signal may be driven through the reference device while it may be connected to the signal processing chain within the measurement system and a calibration response may be captured. During a measurement operation, the reference device connection may be complemented with a sensor connection in the signal processing chain and the excitation signal may be driven through the signal processing chain. A measurement response may be captured from the system. The measurement system may generate a calibrated measurement signal that accounts for phase and/or amplitude errors within the system from the calibration response and the measurement response.


