In this work, artificial neural networks (ANNs) were applied to describe the performance of a
micro gas turbine (MGT). In particular, they were used (i) to complete performance diagrams …

This study proposes a model-based robust fault detection and isolation (RFDI) method with
hybrid structure. Robust detection and isolation of the realistic faults of an industrial gas …

Data science, and machine learning in particular, is rapidly transforming the scientific and
industrial landscapes. The aerospace industry is poised to capitalize on big data and …

With the increasing installation of the wind turbines both onshore and offshore, condition
monitoring technologies and systems have become increasingly important in order to …

Condition monitoring of engine gas generators plays an essential role in airline fleet
management. Adaptive diagnostic systems are becoming available that interpret measured …

In this paper, a new approach for Fault Detection and Isolation (FDI) of gas turbine engines
is proposed by developing an ensemble of dynamic neural network identifiers. For health …

The fault diagnosis of gas turbines plays a vital role in engine reliability and availability. The
data-driven diagnostic model has been verified useful for identifying and characterizing …

Fault diagnosis plays a significant role in conducting condition-based maintenance and
health management for gas turbines (GTs) to improve reliability and reduce costs. Various …

Offshore wind is a rapidly maturing renewable energy that has presented a large growth
over the last decade. This increase in offshore wind capacity has led to the need for more …

In industrial manufacturing systems, failures of machines caused by faults in their key
components greatly influence operational safety and system reliability. Many data-driven …