Predictive maintenance cases

UYeG predictive maintenance real cases

- Predictive maintenance on rotating machine (driving part), KIA motors

- Predictive maintenance on industrial facility (driving part), Hyundai motors

Predictive maintenance of motors, Smart Factory, Industry 4.0 | UYeG

Predictive maintenance of motors

The predictive maintenance reduces the unexpected downtime, increase the efficiency and productivity of motor and saves the maintenance cost.

What is UYeG?

UYeG is the big-data based predictive maintenance system, which provides total solution to protect motor by monitoring current, voltage, wattage, grounding current, short circuit and temperature / humidity  at the same time.

ITS-UYeG ZE / ME:

• Optimized product for smart MCC
• Reduce maintenance cost with a single device by integrating UYeG with power meter
• Saves approximately 10% of energy using the unmanned maintenance system to monitor current, voltage and wattage
• Enhance the maintenance and safety of motor using the failure waveform records
• Contains video converter (ZCT) to save the wiring time.
• Contains the function to protect high grounding current for the stable motor management
• Optimized motor protection using various protection methods and wide current range

Predictive Maintenance | UYeG

What is predictive maintenance?

It means the maintenance done by the information obtained from anticipating its abnormality by monitoring the status of devices. Predictive maintenance solutions incorporate intelligent systems by integrating and analyzing data collected by sensors, and having the technology for controlling and analyzing big data is now also part of its technology platform.

Low Voltage Motor Intensive Control System for realizing prediction, prevention, and maintenance

Large-scale factories, which run from tens to hundreds of thousands of motors, from high-voltage motors to low-voltage motors, operate a process control system, commonly referred to as the Distributed Control System (DCS), but most of the plants in the medium-scale or below can't apply such high-level systems, and the subject to which the DCS system is applied is also limited primarily to high voltage motor control. Furthermore, most of the low-voltage motors except for the special targets are excluded from the control. On the other hand, most of the motors in operation are low-voltage motors and, because most of the motors that can cause production losses are low-voltage motors which are the majority in quantity, in case of a motor malfunction, after stopping the machine operation and replace it with a repaired one or replacement, to start it again is an efficient operating method to minimize the impact of production losses on production costs due to shutdown of production facilities. To meet this trend, we propose a system that enables precautions before a malfunction occurs, by managing low voltage motor group in network.

Industrial IoT Predictive Maintenance Relay UYeG-ZE (IoT-EOCR)

UYeG for energy control, automation for motor protection, and predictive maintenance for facilities

• 1. No improvement without measurement. (Peter Drucker)
• 2. Diagnose before prescription. (Stephen Covey)
• 3. A wise answer to silly questions : The field gives us the answer to problems.

• energy saving solution through SMART MCC
• energy control based on data collection automation, and Implementation of various energy saving methods through control
• providing flexible screen and various analyses that can be modeled, monitored, and controlled from the user's point of view