Emag modernizes maintenance

A German machine tool manufacturer is working on a more automated version of its wear analysis system to put customers in complete control of the process.

The current version of the system, developed by Emag GmbH & Co. KG, Salach, Germany, features a removable vibration sensor attached to a machine spindle. Conducted by a service technician, the process of assessing wear starts with a dry run of the machine that includes movement along every axis, as well as spindle rotation. During the dry run, the sensor measures vibration and sends the data via cable to a wireless device that transmits the data to the technician’s computer.

Then the technician compares the measured data with the expected results. The more that the measured and expected results differ, the more wear that there is in the machine, explained Peter Strohm, Emag’s global service project manager. By examining the data, he said, an experienced technician can spot trouble with a certain axis or axes.

Emag’s vibration sensor attaches to a machine’s spindle housing. Image courtesy of Emag

Emag calls this form of the system the mobile version because it requires a technician to come to the customer’s shop with the sensor, which he or she attaches to the machine and then removes and takes away after the testing cycle. As the company sees it, however, this is the system’s main downside because it means customers can’t use the system themselves.

Soon, therefore, Emag hopes to replace the mobile version with a system that features a machine learning algorithm capable of processing sensor data to determine which machine components are likely to fail due to excessive wear. In addition, the mobile sensor will be replaced by a fixed sensor in every machine. This sensor will send data to a computer via cable rather than wirelessly because a cable connection is more reliable, Strohm said.

With the machine learning algorithm evaluating the sensor data, Emag aims to eventually cut technician visits from the process.