Condition monitoring, diagnostics, and prognostics are key factors in today's competitive
industrial sector. Equipment digitalisation has increased the amount of available data …

With the privatization and intense competition that characterize the volatile energy sector,
the gas turbine industry currently faces new challenges of increasing operational flexibility …

This paper presents methods and tools related to condition-based maintenance (CBM) and
their application on a number of real cases for gas turbine health assessment based on the …

Gas turbine engines are machines of high complexity and non-linearity. Interpreting the vast
amount of data from a gas turbine and converting them into customer value requires the …

Gas turbine maintenance is crucial due to high cost for the replacement of its components
and associated loss of power during shutdown period. Conventional scheduled …

The gradual degradation of gas turbine components is an inevitable result of engine
operation, impacting engine availability, reliability, and operating cost. Gas path analysis …

The intersection of machine learning methods and gas turbine sensor data has expanded
rapidly in the last decade to include numerous applications of regression, clustering, and …

The increase in energy demand has led to expansion of renewable energy sources and
their integration into a more diverse energy mix. Consequently the operation of thermal …

Gas turbines operational requirements continue to become more demanding in response to
the need for extended component life, increased reliability and improved overall efficiency …

Due to their complex physics, accurate modeling of modern heavy duty gas turbines can be
both challenging and time consuming. For online performance monitoring, the purpose of …