3BSE008516R1 AI810 | ABB | Median filtering module

Description

3BSE008516R1 AI810 | ABB | Median filtering module

Program judgment filtering is suitable for 3BSE008516R1 AI810 the distortion of sampled signals caused by random interference or sensor instability. During the design process, the maximum allowable deviation for two samplings is determined based on experience. If the difference between the two consecutive samplings is greater than the deviation, it indicates that the input is an interference signal and should be removed. The last sampling value should be used as the current sampling value. If the difference is not greater than the deviation, then the sampled value is valid.
3BSE008516R1 AI810 filtering is the process of continuously inputting three sampled signals and selecting the middle value as the effective sampling signal.
Sliding average filtering is the process of using an area of data storage (about 20 units) as a cyclic queue. During each data collection, the first data in the queue is removed, the new data is placed at the end of the queue, and then the average value is calculated.
Extreme averaging filtering involves continuously sampling n times, taking the cumulative sum of data, finding the maximum and minimum values, subtracting the maximum and minimum values from the 3BSE008516R1 AI810 sum, and then taking the average of (n-2) data points as the effective sampling value.
Arithmetic mean filtering is the process of taking the arithmetic mean of n consecutive sampled data inputs as an effective signal. It cannot eliminate obvious pulse interference, only weakens its impact. To improve the effect, extreme value averaging filtering can be used.
Anti pulse interference average filtering involves four consecutive samples, removing the maximum and minimum values, and then calculating the average of the remaining two data points. It is actually a special case of extreme value averaging filtering.