The static characteristic of the sensor refers to the static input signal, the output of the sensor and the input of the relationship between the amount of each other. Because the input and output are not time-independent, so the relationship between them, that is, the sensor's static characteristics can be a non-time-variable algebraic equations, or the input as a horizontal axis, the corresponding output of the ordinate and draw the characteristics of the curve to describe. The main parameters characterizing the static characteristics of sensors are: linearity, sensitivity, hysteresis, repetition, drift, etc.
(1) Linearity: the degree of deviation from the fitting line between the output of the sensor and the input quantity. Defines the ratio of the maximum deviation between the actual characteristic curve and the fitting line in the full range range and the full range output value.
(2) Sensitivity: sensitivity is an important indicator of the static characteristics of sensors. It is defined as the ratio of the increment of output to the corresponding increment of input that causes the increment. Use s to denote sensitivity.
(3) Hysteresis: Sensors in the input from small to large (positive stroke) and input from large to small (reverse stroke) changes during their output characteristics of the curve does not coincide with the phenomenon becomes hysteresis. For the same size input signal, the sensor's positive and negative stroke output signal size is not equal, this difference is called hysteresis difference.
(4) Repeatability: Repeatability refers to the degree of inconsistency of the resulting characteristic curves when the sensor changes in the same direction for a full range of multiple consecutive quantities.
(5) Drift: The sensor's Drift is the input quantity unchanged, the sensor output with the time changes, this phenomenon is called drift. There are two reasons for drift: one is the structural parameters of the sensors, the other is the ambient environment (such as temperature, humidity, etc.).