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Table 2 Data included in the analysis

From: Parasitic resistance as a predictor of faulty anodes in electro galvanizing: a comparison of machine learning, physical and hybrid models

Variable name

Sensor/measurement description

Use

Fe concentration in electrolyte

ICP-OES

Predictive

pH of the electrolyte

Potentiometric (pH sensor)

Predictive

Na concentration in electrolyte

ICP-OES

Predictive

Zn concentration in electrolyte

ICP-OES

Predictive

Electrolyte temperature

Pt-100

Predictive

Width of steel strip

Tactile width measurement

Predictive

Thickness of steel strip

Radiometric

Predictive

Specific resistance

Current–Voltage determination (4-point method)

Predictive

Rectifier current

Potential drop at shunt

Predictive

Rectifier voltage

Potential

Target

  1. The variables are divided into three groups: electrolyte parameters, strip parameters, current characteristics. Out of these, nine parameters will be used as predictive variables