Data Analysis Function - Mitsubishi Electric MELSEC iQ-R Series User Manual

Intelligent function module
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Data analysis function

This function performs data analysis processing such as fast Fourier transform, digital filter operation, calculation of a cross
point between a wave and a specified value, and calculation of a standard deviation.
This function enables the detection of machining errors by monitoring current wave and the preventive maintenance of
devices by analyzing vibrations.
For data analysis functions and statistical analysis functions, refer to the following:
MELSEC iQ-R C Controller Module/C Intelligent Function Module Programming Manual (Data Analysis)
Function list
The following table shows the functions used for the data analysis function.
Data analysis function
Function name
DANL_SetOpCondition
DANL_GetOpCondition
DANL_DigitalFilter
DANL_EnvelopeCalculation
DANL_FFTSpectrum
DANL_FindCrossPoint
DANL_Peak
DANL_RMS
DANL_BoundCompareTest
DANL_AryBoundCompareTest
Statistical analysis function
Function name
DANL_LeastSquare
DANL_MovingAverage
DANL_StandardDeviation
DANL_Variance
DANL_MTUnit
DANL_MTMahalanobisDistance
DANL_MultipleRegression
Description
To set operating conditions for data analysis.
To acquire operating conditions for data analysis.
To perform digital filter operation for the specified wave.
To calculate the envelope of the specified wave.
To perform spectrum calculation using fast Fourier transform (FFT) for the specified wave.
To calculate the number of cross points of the specified wave and a reference value for the number of cross points
specified to the maximum number of cross points.
To calculate the peak values (maximum and minimum) of the specified wave.
To calculate an RMS (root mean square) of the specified wave.
To compare the specified wave and a check value to check an upper/lower limit.
To compare the specified wave and a check value to check an upper/lower limit of the wave.
Description
To calculate a coefficient and a constant of a polynomial, and a multiple correlation coefficient by using a least-squares
method for the specified array.
To calculate a moving average of the specified array.
To calculate a standard deviation of the specified array.
To calculate a variance of the specified array.
To determine a unit space that is used in the MT method based on the specified normal data.
To calculate a Mahalanobis distance of the specified input data.
To calculate a coefficient, constant, and regression statistics for multiple regression analysis.
1 FUNCTION
1.1 Program Related Function
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