Assessment of degradation equivalent operating time for aircraft gas turbine engines

Anomaly Detection in Aircraft Gas Turbine Engines

Symbolic identification for fault detection in aircraft gas turbine engines

This article presents a robust and computationally inexpensive technique of component-level fault detection in aircraft gas-turbine engines. The underlying algorithm is based on a recently developed statistical pattern recognition tool, symbolic dynamic filtering (SDF), that is built upon symbolization of sensor time series data. Fault detection involves abstraction of a language-theoretic desc...

Aircraft Gas Turbine Engines Technical Condition Identification System

In this paper is shown that the probability-statistic methods application, especially at the early stage of the aviation gas turbine engine (GTE) technical condition diagnosing, when the flight information has property of the fuzzy, limitation and uncertainty is unfounded. Hence is considered the efficiency of application of new technology Soft Computing at these diagnosing stages with the usin...

Degradation Prognostics in Gas Turbine Engines Using Neural Networks

Degradation Prognostics in Gas Turbine Engines Using Neural Networks

Enhanced Design of Cross-Flow Microchannel Heat Exchanger Module for High-Performance Aircraft Gas Turbine Engines

Boiling and Two-Phase Flow Laboratory (BTPFL), Purdue University International Electronic Cooling Alliance (PUIECA), Mechanical Engineering Building, 585 Purdue Mall, West Lafayette, IN 47907; Rolls-Royce Purdue University Technology Center (UTC), Maurice Zucrow Laboratories, 500 Allison Road, Purdue University, West Lafayette, IN 47907 Enhanced Design of Cross-Flow Microchannel Heat Exchanger ...