Case Study: Serba Dinamik Holdings Berhad achieves 70% reduction in gas-turbine downtime and 25% cut in maintenance costs with Altair Knowledge Works

Serba Dinamik Holdings Berhad - Customer Case Study

Serba Dinamik, a multi‑billion‑dollar supplier of services and power generation systems to the oil and gas industry, operates gas turbine generators that power critical systems on offshore rigs for clients like Petronas, Shell and ExxonMobil. Facing the high cost of unplanned outages, the company sought an advanced predictive maintenance system to provide real‑time visibility into turbine performance, detect sensor anomalies and optimize maintenance schedules with goals to boost output 25%, cut downtime 70% and reduce maintenance costs 25%.

Working with Altair and ORS Technologies, Serba built the Smart Predictive Maintenance Data System (SPMDS) using Altair Knowledge Studio’s AI/ML and Panopticon’s real‑time visualization. Unsupervised ML models trained on large historical datasets now flag emerging issues while Panopticon dashboards stream live sensor data to shore‑based crews; after a six‑month test the system was deployed, enabling targeted maintenance, fewer unexpected failures and taking turbines offline only when necessary.

Serba Dinamik Holdings Berhad

Mohd Azam Mat Nawi

General Manager