Aircraft engine performance monitoring and diagnostics based on deep convolutional neural networks

AD Fentaye, V Zaccaria, K Kyprianidis - Machines, 2021 - mdpi.com
The rapid advancement of machine-learning techniques has played a significant role in the
evolution of engine health management technology. In the last decade, deep-learning …

Assessment of dynamic Bayesian models for gas turbine diagnostics, Part 1: Prior probability analysis

V Zaccaria, AD Fentaye, K Kyprianidis - Machines, 2021 - mdpi.com
The reliability and cost-effectiveness of energy conversion in gas turbine systems are
strongly dependent on an accurate diagnosis of possible process and sensor anomalies …

Gas turbine prognostics via Temporal Fusion Transformer

AD Fentaye, KG Kyprianidis - The Aeronautical Journal, 2024 - cambridge.org
Gas turbines play a vital role in various industries. Timely and accurately predicting their
degradation is essential for efficient operation and optimal maintenance planning …

Assessment of dynamic Bayesian models for gas turbine diagnostics, Part 2: Discrimination of gradual degradation and rapid faults

V Zaccaria, AD Fentaye, K Kyprianidis - Machines, 2021 - mdpi.com
There are many challenges that an effective diagnostic system must overcome for successful
fault diagnosis in gas turbines. Among others, it has to be robust to engine-to-engine …

Sensor fault/failure correction and missing sensor replacement for enhanced real-time gas turbine diagnostics

A Fentaye, V Zaccaria… - PHM Society European …, 2022 - papers.phmsociety.org
Gas turbine sensors are prone to bias and drift. They may also become unavailable due to
maintenance activities or failure through time. It is, therefore, important to correct faulty signal …

Estimation and Mitigation of Unknown Airplane Installation Effects on GPA Diagnostics

M Stenfelt, K Kyprianidis - Machines, 2022 - mdpi.com
In gas turbines used for airplane propulsion, the number of sensors are kept at a minimum
for accurate control and safe operation. Additionally, when data are communicated between …

[PDF][PDF] Aircraft Engine Performance Monitoring and Diagnostics Based on Deep Convolutional Neural Networks. Machines 2021, 9, 337

AD Fentaye, V Zaccaria, K Kyprianidis - 2021 - academia.edu
The rapid advancement of machine-learning techniques has played a significant role in the
evolution of engine health management technology. In the last decade, deep-learning …