Publications | Indonesian Petroleum Association

A Machine Learning Approach for Early Fault Detection and Failure Prediction in Gas Turbines with Case Study: Avon 200 Combustor Crack and SOLAR Taurus 60-T7802 Thrust Balance Damage

Year: 2025 Authors: Fernanda, E., Arief, E., P., Afianto, D., Dadan, S. Reference: IPA25-F-395

Keywords: Anomaly detection, Condition-Based Monitoring, Failure Prediction, Gas Turbines, LSTM Auto Encoder, Machine Learning, Predictive modeling, Reliability, deep learning, preventive maintenance,

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Proceedings Title : Proc. Indon. Petrol. Assoc., 49th Ann. Conv., 2025

The critical in our oil and gas company as a failure can led to significant production and financial losses are gas turbines. Based on our operational...

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A Machine Learning Approach for Early Fault Detection and Failure Prediction in Gas Turbines with Case Study: Avon 200 Combustor Crack and SOLAR Taurus 60-T7802 Thrust Balance Damage