Design of support vector classifier for identifying the ignition phases of an electronic ballast HID-MH lamp

Abstract:

This paper presents the design and implementation of a multivariable support vector classifier with a Radial Basis Function kernel, which is responsible for identifying the different ignition stages of a 250 watts HID lamp. The classifier is implemented according to the four high-intensity discharge lamps current and voltage data. Support vector regression is used in the data improvement stage (training and testing data) as the classifier model.

Año de publicación:

2020

Keywords:

• Support Vector Classifier
• HID lamp
• Ignition phase
• Radial Basis Function kernel
• Electronic Ballast

Fuente:

scopus

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