ONEPREDICTㅣDigital Expert for Industrial Assets

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As part of a Digital Transformation project, the client considered implementing an automatic predictive diagnostic solution for key equipment. onepredict was evaluated as a candidate solution specifically for transformer equipment. Before the actual implementation, the core functions—diagnosis and prediction accuracy—were verified multiple times.

1. Analyzed historical gas analysis data (DGA) without disclosing whether the transformers were faulty or normal, to determine fault vs. normal conditions

2. For faulty transformers, analyzed only pre-failure gas analysis data to accurately predict the timing of unexpected failures

3. Verified solution performance by comparing the diagnosed failure causes and maintenance suggestions with actual field cases

The guardione® solution successfully completed verification.

1. Among various datasets, the guardione® solution accurately identified normal transformer equipment and accurately predicted the failure timing of transformers that had experienced unexpected failures in the past.

2. After the official adoption of the solution, it diagnosed a fault in a specific transformer and recommended replacing the insulating oil. A few weeks later, a noticeable fault actually occurred in the transformer, prompting an urgent oil replacement. This further validated the reliability of not just the diagnostics, but the predictive capabilities as well.

3. Following the verification of not only predictive diagnostics but also the maintenance suggestion feature, a license contract was signed for the following year, and the solution continues to be used regularly.