Energy

Efficient inspection planning,

supported through maintenance suggestions


Maintenance Team Engineer

[ An Energy Affiliate of Fortune Global 500 Ranked Company ]

“Guardione® Substation has a great advantage of

predicting asset conditions with big data-based AI diagnosis,

thus we were able to prepare for the asset replacements

at optimal times.”


energy

Efficient inspection planning,

supported through

maintenance suggestions


Maintenance Team Engineer

[ Energy affiliate of Fortune Global 500 ranked company ]


"Guardione® Substation has a great advantage of predicting asset conditions with big data-based AI diagnosis, thus we were able to prepare for the asset replacements at optimal times.” 



Account Overview

This account is a global energy company that develops and operates various energy businesses, including solar power generation, cogeneration, LNG, and hydrogen fuel cell operations.


Challenge

There were several sub-transformers in the client's cogeneration plant, which had been continuously exposed to high loads for nearly ten years.


Because the overhaul and inspection plan sought by the client could not be established with simple diagnosis and the existing insulating oil analysis, the transformers were being operated despite the worry and anxiety.


The transformers had not been inspected or shut down for a long time, so a full-scale detailed inspection had to be done at some point.


Project

Guardione® Substation emerged as the leading choice primarily because of its industrial AI algorithm, which incorporates extensive historical data from KEPCO and utilizes advanced AI technology.


This integration enables precise diagnostics and maintenance recommendations for future inspections. The solution was selected for its capacity to provide comprehensive insights during inspections.


The client aimed to obtain a clear understanding of the transformer's condition, which had been under close monitoring by the company, by leveraging accurate diagnostics and maintenance suggestions.


Result

Guardione® Substation successfully conducted a verification process, offering the outcome the client was looking for.



1. Using its industrial AI algorithm, guardione® solution identified transformers that would require special maintenance within the next 5 years.


2. The client selected only transformers as detailed inspection targets that would potentially require special maintenance, saving on unnecessary detailed inspection expenses and increasing operation efficiency.



Account Overview

This account is a global energy company that develops and operates various energy businesses,

including solar power generation, cogeneration, LNG, and hydrogen fuel cell operations.


Challenge

There were several sub-transformers in the client's cogeneration plant, which had been continuously exposed to high loads for nearly ten years.

Because the overhaul and inspection plan sought by the client could not be established with simple diagnosis and the existing insulating oil analysis,

the transformers were being operated despite the worry and anxiety. The transformers had not been inspected or shut down for a long time,

so a full-scale detailed inspection had to be done at some point.


Project

Guardione® Substation emerged as the leading choice primarily because of its industrial AI algorithm,

which incorporates extensive historical data from KEPCO and utilizes advanced AI technology.

This integration enables precise diagnostics and maintenance recommendations for future inspections.

The solution was selected for its capacity to provide comprehensive insights during inspections.

The client aimed to obtain a clear understanding of the transformer's condition, which had been under close monitoring

by the company, by leveraging accurate diagnostics and maintenance suggestions.


Result

Guardione® Substation successfully conducted a verification process, offering the outcome the client was looking for.



1. Using its industrial AI algorithm, guardione® solution identified transformers that would require special maintenance within the next 5 years.


2. The client selected only transformers as detailed inspection targets that would potentially require special maintenance,

     saving on unnecessary detailed inspection expenses and increasing operation efficiency.







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
© 2024 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
© 2024 ONEPREDICT Inc. All Rights Reserved.





PRIVACY POLICY   


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


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