An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism. [PDF]
Remaining useful life (RUL) prediction is one of the key technologies of aircraft prognosis and health management (PHM) which could provide better maintenance decisions. In order to improve the accuracy of aircraft engine RUL prediction under real flight
Li H, Wang Z, Li Z.
europepmc +2 more sources
Aircraft Engine Prognostics Based on Informative Sensor Selection and Adaptive Degradation Modeling with Functional Principal Component Analysis. [PDF]
Engine prognostics are critical to improve safety, reliability, and operational efficiency of an aircraft. With the development in sensor technology, multiple sensors are embedded or deployed to monitor the health condition of the aircraft engine.
Zhang B+5 more
europepmc +2 more sources
Robust In-Flight Sensor Fault Diagnostics for Aircraft Engine Based on Sliding Mode Observers. [PDF]
For a sensor fault diagnostic system of aircraft engines, the health performance degradation is an inevitable interference that cannot be neglected. To address this issue, this paper investigates an integrated on-line sensor fault diagnostic scheme for a
Chang X, Huang J, Lu F.
europepmc +2 more sources
Tip-Clearance Measurement in the First Stage of the Compressor of an Aircraft Engine. [PDF]
In this article, we report the design of a reflective intensity-modulated optical fiber sensor for blade tip-clearance measurement, and the experimental results for the first stage of a compressor of an aircraft engine operating in real conditions.
García I+3 more
europepmc +2 more sources
A Critical Review of Laser Shock Peening of Aircraft Engine Components
Many aviation accidents are caused by the failure of aircraft engine components, and engine blades are especially vulnerable to high‐cycle fatigue fracture in severe working environments as well as to impact damage caused by foreign objects.
Yixuan Ye+7 more
semanticscholar +1 more source
The accurate prediction of the remaining useful life (RUL) of aircraft engines is crucial for improving engine safety and reducing maintenance costs. To tackle the complex issues of nonlinearity, high dimensionality, and difficult-to-model degradation ...
Hairui Wang+5 more
semanticscholar +1 more source
Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics
A key enabler of intelligent maintenance systems is the ability to predict the remaining useful lifetime (RUL) of its components, i.e., prognostics. The development of data-driven prognostics models requires datasets with run-to-failure trajectories ...
M. A. Chao+3 more
semanticscholar +1 more source
Remaining useful life (RUL) prediction of aircraft engine (AE) is of great importance to improve its reliability and availability, and reduce its maintenance costs.
Kui Hu+4 more
semanticscholar +1 more source
Analysis of Entropy Generation and Potential Inhibition in an Aeroengine System Environment
From a system perspective, the entropy generation of an aeroengine is directly related to the thermal efficiency when the Brayton cycle pressure ratio and maximum temperature remain constant.
Xiaojing Liu+6 more
doaj +1 more source
Predictive Maintenance for Aircraft Engine Using Machine Learning: Trends and Challenges
This article aims to prove that Machine Learning (ML) methods are effective for Predictive Maintenance (PdM) and to obtain other developing methods that suitable applied on PdM, especially for aircraft engine, and potential method that can apply on ...
F. Adryan, K. W. Sastra
semanticscholar +1 more source