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Maximize OEE with guardione® motor, a comprehensive motor management system that uses electric current data


*OEE - Overall Equipment Effectiveness

Guardione®'s unique algorithm enables to indicate electrical and mechanical faults in motors


Within a week of deployment, it is able to diagnose electrical (stator and rotor) and mechanical (bearing and shaft) faults in motors.

Guardione® can be installed in

10 minutes


Guardione®'s sensors are installed inside the motor control cabinet, not on the asset in the field, making motor capacity or location no barrier to deployment.



guardione® DAQ

DAQ : Data acquisition, Current signal measurement and acquisition device


Even an industrial site with more than 1,000 motors can be easily managed only with guardione® solution


At any time, anywhere, it is possible to closely monitor not just a few problematic motors but all of the thousands of motors.

Compared to other diagnostic solutions, motor operating costs can be reduced by more than 50%


Our in-house DAQ helps reduce installation costs. In addition, operating costs can be cut by up to 90% or more if adopting the solution under the SaaS model.

Maximize OEE with guardione® motor,

 a comprehensive motor management system

that uses electric current data.


*OEE -  Overall Equipment Effectiveness

Benefits of adopting guardione® motor

under the SaaS model


Onepredict, as a partner of AWS, the world's No. 1 cloud company, supports optimal facility maintenance in the most secure and flexible cloud computing environment.

Get real-time

customer support service


 It is difficult to receive real-time customer support and monitoring with the conventional on-premise server type. However, SaaS-based guardione® offers 1:1 customer support and real-time updates at any time other than when an issue occurs.

Be accessible anywhere

and at anytime


In the old way, you could only view the dashboard of your solution from certain locations. With SaaS-based guardione®, you can access the dashboard anytime, anywhere, enabling immediate monitoring in case of anomalies.

Experience a customizable and scalable solution tailored to your needs


It isn't easy to customize or upgrade after installation in the on-premise server type. But the SaaS-based guardione® offers continuous customization with customers' data.

Get real-time

customer support service


Unlike the existing method that requires more cost and time to secure an additional server, SaaS-based guardione® can be installed within 10 minutes, reducing introduction costs as well as maintenance costs.

AWS PARTNER ONEPREDICT




Build a Data Lake with Amazon Storage Services

Data management will be safer and efficient.



Leverage cloud computing on AWS

You can optimaize the management of your key industrial assets in the AWS cloud.



Experience digital twin technology on your computer

With a virtual physical system on the cloud, you can analyze data and monitor the facility status in real time.





Guardione®'s

unique algorithm enables to indicate electrical and mechanical faults in motors



Within a week of deployment, it is able to diagnose electrical (stator and rotor) and mechanical (bearing and shaft) faults in motors.




Guardione®

can be installed

in 10 minutes



Guardione®'s sensors are installed inside the motor control cabinet, not on the asset in the field, making motor capacity or location no barrier to deployment.

guardione® DAQ

DAQ : Data acquisition, Current signal measurement and acquisition device

Even an industrial site with more than

1,000 motors can be easily managed only with guardione® solution.


At any time, anywhere, it is possible to closely monitor not just a few problematic motors

but all of the thousands of motors.

Compared to other diagnostic solutions, motor operating costs can be reduced by more than 50%


Our in-house DAQ helps reduce installation costs. In addition, operating costs can be cut

by up to 90% or more if adopting the solution under the SaaS model. 


Transform your workplaces with guardione® motor

Technologies with official authorization



Method for peak detection

and apparatus for peak detection


10-2022-0010901




Diagnosis method for bearing defect using 3 phase motorcurrent signal and apparatus for performing the same


PCT/KR2022/005985


Benefits of adopting guardione® motor

under the SaaS model


Onepredict, as a partner of AWS, the world's No. 1 cloud company,

supports optimal facility maintenance in the most secure and flexible cloud computing environment.

Get real-time

customer support service


It is difficult to receive real-time customer support and monitoring with the conventional on-premise server type. However, SaaS-based guardione® offers 1:1 customer support and real-time updates at any time other than when an issue occurs.

Be accessible

 anywhere

and at anytime


In the old way, you could only view the dashboard of your solution from certain locations. With SaaS-based guardione®, you can access the dashboard anytime, anywhere, enabling immediate monitoring in case of anomalies. 

Experience a customizable and scalable solution tailored to your needs


It isn't easy to customize or upgrade after installation in the on-premise server type. But the SaaS-based guardione® offers continuous customization with customers' data.



Reduce cost

and time

for installation


Unlike the existing method that requires more cost and time to secure an additional server, SaaS-based guardione® can be installed within 10 minutes, reducing introduction costs as well as maintenance costs.


Guardione® use cases

creating more reliable industrial sites

Transform your workplaces with guardione® motor

Before deployment




Due to the fact that the person in charge

of the maintenance had to personally inspect

each motor, the maintenance cost was high.


After deployment



Now, field personnel monitor the dashboard of guardione® motor from the office first and then check only the problematic motors. In this way, resources and costs required for facility management have been reduced significantly.


Technologies with official authorization









Method for peak detection

and apparatus for peak detection



10-2022-0010901










Diagnosis method for bearing

defect using 3 phase motorcurrent signal and apparatus for performing the same


PCT/KR2022/005985



Guardione® use cases

creating more reliable industrial sites

FAQ

GUARDIONE® MOTOR performs diagnostics on 3-phase induction motors that are started directly and driven at a constant speed.

Yes, it is possible. Changes due to mechanical faults generate changes in 3-phase electric current supplied to the motor. Therefore, detecting such changes enables the diagnosis of mechanical faults using current signals.

The installation is simple. You are able to also detect both electrical abnormalities as well as mechanical abnormalities.

The diagnostic sensitivity for mechanical abnormalities may be lower compared to existing methods, but it is more than sufficient for maintenance. In addition, you can monitor the energy index of motor facilities based on the current data.

You can start using it immediately after installation. However, we recommend a 2-week training period to adapt for the characteristics and environment of each facility. 

The training period is relatively short compared to existing solutions since we use an industrial AI algorithm to simultaneously conduct data collection and algorithm enhancement,

Yes, it is extremely simple. The current sensor can be installed in an easily accessible MCC (Motor Control Center) rather than directly on the actual facility. 

Other existing sensors need to be installed on motors that are in operation, making the installation more difficult and costly. Installing these sensors in extreme conditions may pose a danger, and sometimes even require the facilities to be stopped for installation.

The signal from the spectral analyzer can be obscured depending on the noise and motor operating conditions at the site.

Nevertheless, GUARDIONE® MOTOR performs accurate motor condition diagnostics by not only conducting frequency analysis but also utilizing self-developed signal preprocessing techniques to refine the signals and devising proprietary characteristic factors based on the spectral analysis.