MachineID was tested in real production at SAVE-TECH s.r.o. on SBL 500 series machines with a Siemens control system. The goal was to validate faster fault identification, shorter downtime and more accurate diagnostic data for maintenance.
The SAVE-TECH s.r.o. production facility and the installation of the SBL 500 CNC lathe with Siemens control on which the testing took place.
The most important measurable results of the MachineID pilot deployment compared with the previous manual fault assessment.
Values measured over 18 months of operation across multiple production shifts.
During the pilot operation, more than 120 fault scenarios were simulated and evaluated, including both common and edge cases.
The average time to identify the probable cause of a fault dropped from 28 to 8 minutes, letting maintenance step in sooner and limit downtime.
28 min → 8 minThe system separated the primary fault from the follow-on alarms, so maintenance no longer chased the last message but the real source of the problem.
94% accuracyThe number of repeat faults without a clearly identified cause fell by 71%. The biggest improvement was in sensors, communication and drive alarms.
−71% repeat faultsA single diagnostic procedure helped less experienced technicians reach a solution without immediately escalating to a senior technician.
escalations 42% → 14%The pilot deployment showed that MachineID can significantly improve the speed and accuracy of fault resolution. The biggest gains came with repeat and hard-to-identify faults, where the system analysed historical data, compared similar events and recommended the most probable root cause.
