A verification of periodogram technique for harmonic source diagnostic analytic by using logistic regression

[...]the harmonic distortion has increased losses and decreased life expectancy of the power system equipment [1], [3, 4]. [...]it is important to define suitable methodologies to attribute the responsibilities for the deterioration of the power quality [5, 6]. According to Dreiseit, details on model building are often given for logistic regression rather than artificial neural networks because in a standard logistic regression software, forward, backward and stepwise variable scheme are implemented so it is easily used and reported [27]. (7) where the e is an error distributed by the standard logistic distribution. [...]the logistic regression function [32] can be written as (8) ... The result show that the propose method does not give high accuracy in diagnostic analytics process. [...]a better technique such as time-frequency distribution should be considered for future research.