What’s the additional error on accuracy of sensor?

The additional error in the accuracy of a sensor due to changes in temperature is often referred to as temperature-related error or thermal error. This type of error occurs when the performance characteristics of a sensor are influenced by variations in temperature.

 

Here are a few common ways in which temperature can introduce errors in sensor readings:

Sensitivity Drift: The sensitivity of a sensor may change with temperature. This means that the sensor’s response to a given input may vary as the temperature changes, leading to inaccuracies in measurements.

Zero Offset: Temperature changes can cause a shift in the sensor’s zero point, introducing an offset in the readings. This means that even when there is no input, the sensor may output a non-zero value.

Nonlinearity: Some sensors may exhibit nonlinear behavior with temperature variations. In such cases, the relationship between the input and output is not strictly linear, and this nonlinearity can contribute to inaccuracies.

Time Lag: Temperature changes can also introduce a time lag in the sensor’s response. The sensor may take some time to stabilize at a new temperature, leading to transient errors during temperature transitions.

Resolution Changes: The resolution of a sensor, or its ability to distinguish small changes in the input, may be affected by temperature variations. This can result in reduced precision or the inability to detect small changes in the measured quantity.

 

To mitigate temperature-related errors, sensor manufacturers often provide temperature compensation techniques. These may include calibration procedures, mathematical corrections, or the use of temperature-stable materials in the sensor construction. It’s essential to refer to the sensor’s datasheet or technical documentation to understand its temperature characteristics and any recommended compensation methods.

 

In practical applications, minimizing temperature-related errors may involve controlling the sensor’s operating environment, implementing compensation algorithms, or selecting sensors designed to operate in specific temperature ranges without significant accuracy degradation.