Maximize the availability of your CNC machines with predictive maintenance

Analyze MyMachine /Condition is part of the CNC Shopfloor Management Software and makes data-based, predictive maintenance possible. The app not only collects and analyzes machine data but also initiates test cycles. The test cycles can be saved as logs to provide documentary evidence of the machine status. A modern analysis tool that makes the state of your machine transparent, prevents nasty surprises, and increases the availability of the machine. 

Analyze MyMachine /Condition can be used with a wide variety of different machine tools, usually regardless of the machine or control system manufacturer. This means you can use a central app for predictive maintenance and servicing of all the CNC machines on your shopfloor.

pPredictive maintenance efficiently organized: Thanks to the MindSphere app Manage MyMachines /Remote you can authorize remote diagnostics, remote maintenance and operation of your machine – simply and securely. Service engineers and machine operators share the same real-time view of the CNC and can solve problems together – irrespective of the control manufacturer. The app opens up new possibilities. You can involve your own experts at different locations in troubleshooting. You can grant machine manufacturers remote access, save the high costs of on-site personnel deployment, and improve preparations for service engineer assignments which can also be shortened. 

Unscheduled machine downtimes mean delays, trouble with customers, expensive service engineer assignments, emergency deliveries of spare parts – and considerable stress. Analyze MyMachine /Condition is your introduction to predictive maintenance. The app analyzes machine response and records indications of impending faults very early on. In this way, you can plan maintenance proactively, smoothly and efficiently. Instead of strictly following rigid maintenance schedules, your service engineers perform maintenance tasks whenever necessary. Instead of being caught out by disruptions in the middle of a production run, you schedule maintenance work so that production is only minimally affected.