Results 21 to 30 of about 29,955 (275)
IEEE Access, 2022 In the era of industry 4.0, safety, efficiency and reliability of industrial machinery is an elementary concern in trade sectors. The accurate remaining useful life (RUL) prediction of an equipment in due time allows us to effectively plan the ...
Owais Asif +5 more
semanticscholar +1 more source
A Remaining Useful Life Prognosis of Turbofan Engine Using Temporal and Spatial Feature Fusion. [PDF]
Sensors (Basel), 2021 The prognosis of the remaining useful life (RUL) of turbofan engine provides an important basis for predictive maintenance and remanufacturing, and plays a major role in reducing failure rate and maintenance costs. The main problem of traditional methods
Peng C +5 more
europepmc +2 more sources
Development of a Predictive Tool for the Parametric Analysis of a Turbofan Engine
Applied Sciences, 2023 Parametric cycle analysis, an on-design engine study, specifies the required design characteristics that optimize engine performance. This study aimed to conduct a parametric analysis of a low-bypass turbofan engine with an afterburner, F100-PW229, and ...
Zara Ahmed +3 more
semanticscholar +1 more source
Actuators, 2022 The turbofan engine is a pivotal component of the aircraft. Engine components are susceptible to degradation over the life of their operation, which affects the reliability and performance of an engine.
Unnati Thakkar, H. Chaoui
semanticscholar +1 more source
A Transport Aft-Turbofan [PDF]
ASME 1959 Gas Turbine Power Conference and Exhibit, 1959 This paper presents the technical status of a new type aft-turbofan aircraft powerplant, designated as the General Electric CJ805-21. The successful development to date of this aft-fan engine has amply demonstrated the feasibility of a major increase in power rating and a significant improvement in altitude cruise fuel economy by converting the CJ805-3
B. E. Sells, W. R. Dodge
openaire +1 more source
The Water-Enhanced Turbofan as Enabler for Climate-Neutral Aviation
Applied Sciences, 2022 A significant part of the current aviation climate impact is caused by non-carbon-dioxide emissions, mainly nitrogen oxides (NOx) and contrails. It is, therefore, important to have a holistic view on climate metrics.
S. Kaiser +3 more
semanticscholar +1 more source
Recursive least squares for online dynamic identification on gas turbine engines [PDF]
, 2016 Online identification for a gas turbine engine is vital for health monitoring and control decisions because the engine electronic control system uses the identified model to analyze the performance for optimization of fuel consumption, a response to ...
Nalianda, Devaiah +2 more
core +1 more source
PHM Society European Conference, 2022 Well-established metrics such as the Root Mean Square Error or the Mean Absolute Error are not suitable to evaluate estimated distributions of the Remaining Useful Life (i.e., probabilistic prognostics). We therefore propose novel metrics to evaluate the
Ingeborg de Pater, M. Mitici
semanticscholar +1 more source
Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction. [PDF]
Sensors (Basel), 2020 This study prognoses the remaining useful life of a turbofan engine using a deep learning model, which is essential for the health management of an engine.
Hong CW +5 more
europepmc +2 more sources
Deep-Learning Based Prognosis Approach for Remaining Useful Life Prediction of Turbofan Engine
Symmetry, 2021 The entire life cycle of a turbofan engine is a type of asymmetrical process in which each engine part has different characteristics. Extracting and modeling the engine symmetry characteristics is significant in improving remaining useful life (RUL ...
Amgad Muneer +3 more
semanticscholar +1 more source