About this event
In many manufacturing facilities, machine condition is still determined based on experience, operational noises, or individual error messages. This is often insufficient for predictive maintenance. Anyone who wants to avoid downtime, ensure smooth operations, or prioritize investments in service needs reliable condition data.
In this webinar, we’ll show you how to systematically record and evaluate the technical condition of existing EMAG machines using Health Inspect—in a data-driven, traceable way that serves as the basis for concrete recommendations for action.
Machine condition: What does the system show before things get critical?
Axis motion data, control and regulator data, as well as vibration values, provide indications of stress, wear, and deviations. The key is to interpret these signals correctly.
Health Inspect: Diagnosis Instead of a Snapshot
How does measurement data become a technical assessment? The focus is on the process from recorded machine behavior through defined threshold values to a structured report with service recommendations.
Machine Relocation: Know the Condition Before Moving
Anyone relocating a machine should know its condition before disassembly and recommissioning. The webinar highlights why data backup, geometry, alignment, and condition assessment must be considered together.
Target Audience
Production managers, maintenance staff, production planning, and technical purchasing.
Register now and learn how data-driven condition assessment supports maintenance and machine relocation.
