Publications

Extending Engine Change Out Respective to Running Hours Using Data Driven Using One Dimension (1-D) Convolutional Neural Network Algorithm

Proceedings Title : Proc. Indon. Petrol. Assoc., 48th Ann. Conv., 2024

The current practice for engine change out of GE Turbine LM2500+ SAC, set at 25,000 for Hot Section Inspection, as per Instruction Operation and Maintenance Manual (IOM).

Extending engine change out through Gas Generator Exhaust Temperature (T48) with classification algorithhm is to develop a machine learning with One Dimension (1-D) Convolutional Neural Network Algortihm to estimate next engine change out with level of confidence determination. This approach enables preventive maintenance strategy such as engine change out decisions beyond the 25,000-hour to significantly reduced operational costs.

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