Sensor Accuracy Comparison: 1% Span vs. 2% Reading vs. 1% Maximum Value

Choosing the Most Accurate Sensor for 100ﾰC to 250ﾰC: Understanding Error Types

When selecting a sensor for measuring temperatures between 100ﾰC and 250ﾰC, understanding the different error types is crucial. Let's compare three common specifications:

• 1% of Span: This sensor's error is calculated as a percentage of the entire measurement range (150ﾰC in this case). This means the maximum error remains constant across all readings within the range.
• 2% of Reading: This sensor's error is a percentage of the current temperature reading. As the temperature increases, the potential error also increases.
• 1% of Maximum Value: This sensor's error is calculated as a percentage of the highest temperature it can measure (250ﾰC in this case).

For measurements between 100ﾰC and 250ﾰC, the sensor with an error of '1% of the span' would be the most accurate.

Here's why:

• Consistent Accuracy: The sensor's error is based on the full temperature range (150ﾰC), ensuring a consistently small error margin across all readings.
• Lower Potential Error: Unlike the '2% of reading' option, the error doesn't increase as the temperature rises, making it more reliable at higher temperatures within the range.

Remember to always consider the specific application and required accuracy levels when choosing a sensor. While '1% of span' offers better accuracy in this scenario, other factors might influence your decision for different temperature ranges or measurement needs.