Case Study: Gas Turbine Error Detection
Thursday, October 6, 2022
In this session, Dr. Yvonne Blum will present how machine learning techniques in MATLAB were used to detect error conditions in MAN Energy Solutions gas turbines. These engines are distributed all over the world, quite often located in very remote areas where machine failure can have severe consequences. The goal of the project was to automate the time-consuming process of visualizing and manually evaluating measured sensor data, to determine gas turbine error conditions at an early stage.
The case study was authored Dr. Holger Huitenga and Dr. Yvonne Blum.