Future trends in engine health management (EHM) systems are information fusion,
advanced analytical methods, and the concept of the Intelligent Engines. Machine Learning …

Considering the importance of continually improving the algorithms in aircraft engine
diagnostic systems, the present paper proposes and benchmarks a gas-path monitoring and …

There are some problems such as uncertain thresholds, high dimension of monitoring
parameters and unclear parameter relationships in the anomaly detection of aero-engine …

The gas turbine is of great significance to industries such as aviation, power generation, oil,
and gas. Therefore, fault occurrence in this turbomachinery item can lead to operational …

In the field of aircraft engine diagnostics, many advanced algorithms have been proposed
over the last few years. However, there is still wide room for improvement, especially in the …

Gas path analysis is a well-known approach to gas turbine condition monitoring that consists
of three steps, including detection, isolation and identification of performance deteriorations …

This paper proposes an extension of the type-1 and singleton fuzzy logic system for dealing
with multiclass classification problems. The proposed extension enables a fuzzy classifier to …

This letter covers a broad comparison of methods for classification and regression
applications for a user-level handover decision making in scenarios with adverse …

Removing noise from health signals is critical in gas path diagnostics of aircraft engines. An
efficient noise filtering/denoising method should remove noise without using future data …

Abstract Amaral, Renan Piazzaroli Finotti; Menezes, Ivan Fabio Mota (Advisor). On Interval
Type-2 Fuzzy Logic System using the Upper and Lower Method for Supervised …