guardione® substation

A transformer condition diagnosis and predictive maintenance solution boasting 98% diagnostic accuracy
based on 140,000+ big data records.

Target Equipment

Oil-Immersed Transformer

guardione® substation

 A transformer condition diagnosis and predictive maintenance solution boasting 98% diagnostic accuracy based on 140,000+ big data records.

Target Equipment

Oil-Immersed Transformer

Feature

98% Accuracy – The Leading Transformer Diagnostic Solution

Discover guardione® substation in a 2-Minute Video

'guardione® substation' provides a 5-year predictive trend using 140,000 cases of DGA big data.  

① Diagnosis Accuracy 98%, Prediction Accuracy 87%

- Korea’s largest dataset of 140,000 DGA big data cases
- Deep learning-based health map
- DGA data quality correction
- Higher accuracy and lower false/overdiagnosis rates than IEEE and IEC

② 5-Year Forecast Trend Using DGA

- Diagnoses transformer health in 5 levels using DGA
- Comparative analysis of similar transformer data, trends, and history

③ Maintenance Guide with Prescriptive Recommendations

- Digitalization of inspection and maintenance history
- Provides prescriptive solutions based on diagnostic and predictive results
④ Proven Solution Ready for Immediate Deployment 

Telecommunications Technology Association (TTA)

GS Certification Grade 1

OLTC Fault Diagnosis Method and Device Performing the Same 


10-2020-0136009 

Method for determining health factors through machine learning and device performing the method 


PCT/KR2022-004541 

Transformer Condition Prediction and Diagnosis Method Considering Oil Filtration, and Device Performing the Same 


16/949,809 

Diagnosis and Prediction Method for Substation Equipment, and Device Performing the Same 


10-2022-0140207 

Transformer Condition Determination Method Based on Dissolved Gas Analysis (DGA) Data Calibration and Device Using the Same 


10-2020-0121940 

The Achievement Made Possible Only by guardione® substation


 Leave us an inquiry and we’ll get back to you promptly. 






ONEPREDICT Inc.

4200 San Jacinto Street, Houston, TX 77004

4, Eonju-ro 125-gil, Gangnam-gu, Seoul, Republic of Korea


e-mail. contact_us@onepredict.com
© 2025 ONEPREDICT Inc. All Rights Reserved.




PRIVACY POLICY


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ONEPREDICT Inc.
4200 San Jacinto Street, Houston, TX 77004

4, Eonju-ro 125-gil, Gangnam-gu, Seoul, Republic of Korea


e-mail. contact_us@onepredict.com
© 2025 ONEPREDICT Inc. All Rights Reserved.







PRIVACY POLICY   


onepredict tech blog...linked in...youtube...onepredict blog


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