自主研发Hall current sensor for aerospace applications品牌自主研发

发布：58彩票

We choose航天用霍尔电流传感器When it comes to the productThe repeatability index is also a parameter that needs to be carefully considered, and there are usually multiple interpretations of this parameter：
Definition: Repeatability of Hall current sensors for aerospace applicationsLity refers to the degree of difference between measurement results when multiple repeated measurements are taken along the same direction and under the same conditions. Also known as repetition error, reproduction error, etc.Interpretation 1: The repeatability of Hall current sensors used in aerospace must be the degree of difference between multiple measurement results obtained under the same conditions. If the measurement conditions change and the comparability between measurement results disappears, it cannot be used as a basis for assessing repeatability. 这种电流传感技术的另一种方法是使用PCB迹线作为并联电阻器。由于PCB的铜线提供非常小的电阻，因此可以使用铜线来测量电流。然而，在这种替代方法中，要获得准确的结果，几个依赖项也是一个巨大的问题。

unscramble2Hall current sensor for aerospace applicationsThe repeatability characterizes the dispersion and randomness of sensor measurement results. The reason for this dispersion and randomness is that there are inevitably various random interferences inside and outside the sensor, which cause the sensor tozuiThe final measurement result is manifested as a characteristic of a random variable. Current sensor is a sensor named after measuring current. However, the current situation is diverse. The current values processed by the power plant range from 1mA to 10kA, and the current waveforms also include AC, DC, and AC-DC. Due to the different methods and structures of each measurement object, there are also various current sensors available.Interpretation 3: The quantitative expression method of repeatability can use the standard deviation of random variables.Interpretation 4: For multiple repeated measurements, if the average of all measurement results is taken aszuiThe final measurement result can obtain higher measurement accuracy. Because the standard deviation of the mean is significantly smaller than the standard deviation of each measurement result.

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