Machine Learning

Automated testing of electrodes

Advantage: Objective results and cost reduction as well as time saving

Data: Measurement data from test facilities

Methods: Machine Learning

Problem

The customer is a manufacturer of automated process control equipment for chemical manufacturing. This involves the use of electrodes whose test equipment capability must be determined before they are delivered to the customer. Until now, the inspection was carried out by a technical employee who assessed the quality of the component by means of visual inspection of descriptive graphics.

Destination

Automated testing of electrodes

Result

Machine learning methods were used to automate the testing and create a machine decision rule to estimate the quality of the product to combine quantitative methods and expert knowledge.