ONEPREDICTㅣDigital Expert for Industrial Assets

Challenge

Since the majority of the client’s main transformers had been in use for decades without being replaced, they had some reasonable concerns about potential accidents and malfunctions. Most of the staff agreed that the entire system needed to be replaced, and they happened to be at a time when the internal process of transformer replacement was almost completed.

However, as replacing transformers could cost anywhere between billions to tens of billions of Korean Won, they needed to be able to clearly specify the grounds for this expenditure.

Project

An accurate diagnosis of the transformer’s current state and predictive insights into its prospective state were needed so that the client could effectively plan the transformer replacement schedule. Because the existing diagnostic method lacked reliability, confirming the reliability of guardione®'s industrial AI algorithm-based diagnostic method was the number one priority. The detailed procedure for this was as follows.

1. Learning past data of transformers located within the client’s specific plant

2. Diagnosis and analysis of recent gas data based on the trained algorithm

3. Determining the replacement time for transformers based on the diagnostics analysis results of guardione® solution

Result

Guardione® Substation successfully satisfied the client’s needs, as can be seen in the following case. Following this verification process, the client has adopted guardione® solution on all of its oil-immersed type transformers in the country.

1. Using its big data and AI technology, guardione® substation predicted that all of the client's transformers would be free of any major malfunctions in the next 5 years. The solution was supported on justifiable grounds provided by onepredict’s professional development personnel.

2. Thanks to the precision of the guardione® substation’s diagnosis and prediction, the client was able to dramatically save on budget as well as resources such as manpower and time.

3. The verification process led to the reinstated credibility of the client on insulating oil analytical diagnosis. The insulating analysis using guardione® substation became regular in the client's future repair schedules.

Challenge

Since the majority of the client’s main transformers had been in use for decades without being replaced,

they had some reasonable concerns about potential accidents and malfunctions. Most of the staff agreed that the entire system needed to be replaced,

and they happened to be at a time when the internal process of transformer replacement was almost completed.

However, as replacing transformers could cost anywhere between billions to tens of billions of Korean Won,

they needed to be able to clearly specify the grounds for this expenditure.

Project

An accurate diagnosis of the transformer’s current state and predictive insights into its prospective state were needed

so that the client could effectively plan the transformer replacement schedule. Because the existing diagnostic method lacked reliability,

confirming the reliability of guardione®'s industrial AI algorithm-based diagnostic method was the number one priority.

The detailed procedure for this was as follows.

1. Learning past data of transformers located within the client’s specific plant

2. Diagnosis and analysis of recent gas data based on the trained algorithm

3. Determining the replacement time for transformers based on the diagnostics analysis results of guardione® solution

Result

Guardione® Substation successfully satisfied the client’s needs, as can be seen in the following case.

Following this verification process, the client has adopted guardione® solution on all of its oil-immersed type transformers in the country.

1. Using its big data and AI technology, guardione® substation predicted that all of the client's transformers would be free of any major malfunctions in the next 5 years.

The solution was supported on justifiable grounds provided by onepredict’s professional development personnel.

2. Thanks to the precision of guardione® substation’s diagnosis and prediction, the client was able to dramatically save on budget as well as

resources such as manpower and time.

3. The verification process led to the reinstated credibility of the client on insulating oil analytical diagnosis.

The insulating analysis using guardione® substation became regular in the client's future repair schedules.