Failure Modeling of C-130 Turbines using Artificial Neural Networks (original) (raw)
Related papers
ANN-Based Failure Modeling of T-56 Engine Turbines
International Journal of Sciences: Basic and Applied Research (IJSBAR), 2022
Failure Modeling of C 130 Turbines using Artificial Neural Networks RAMS
2021 Annual Reliability and Maintainability Symposium (RAMS), 2021
ANN-based Failure Modeling of T-56 Engine Turbine
IEEE, 2023
ANN-based failure modeling of classes of aircraft engine components using radial basis functions
Ekspolatacja i Niezawodnosc - Maintenance and Reliability, 2019
World Congress on Mechanical, Chemical, and Material Engineering, 2017
Reliability analysis of C-130 turboprop engine components using artificial neural network
2013
Performance Prediction using Neural Network and Confidence Intervals: a Gas Turbine application
2018 IEEE International Conference on Big Data (Big Data), 2018
RELIABILITY AND PERFORMANCE ANALYSIS OF AIRCRAFT ENGINES OPERATION IN EROSIVE ENVIRONMENT
Reliability Modeling Using an Adaptive Neuro-Fuzzy Inference System: Gas Turbine Application
Fuzzy Information and Engineering, 2021
Wind turbine gearbox failure and remaining useful life prediction using machine learning techniques
Wind Energy, 2018
A Case for the Use of Data-driven Methods in Gas Turbine Prognostics
Annual Conference of the PHM Society, 2017
Neural network prognostics model for industrial equipment maintenance
… Systems (HIS), 2011 …, 2011
Self evolving neural network based algorithm for fault prognosis in wind turbines: A case study
2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2014
IRJET- Predictive Maintenance of Gas Turbine using Prognosis Approach
IRJET, 2020
Mathematical Method of Artificial Neural Networks in Aircraft Maintenance, Repair and Overhaul
TEM Journal, 2020
Regression and Classification Model Based Predictive Maintenance of Aircrafts Using Neural Network
International Journal of Innovative Research in Computer Science & Technology, 2022
Methodology for short-term performance prognostic of gas turbine using recurrent neural network
2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2015
Prediction of Ship Main Engine Failures by Artificial Neural Networks
Aero-engine blade fatigue analysis based on nonlinear continuum damage model using neural networks
Chinese Journal of Mechanical Engineering, 2012
2015
Application of neural networks for failure detection on wind turbines
2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011, 2011
Enhancing Turbine Performance Degradation Prediction with Atmospheric Factors
Annual Conference of the PHM Society, 2016
Applying Neural Networks to detect the failures of turbines in thermal power facilities
2009 IEEE International Conference on Industrial Engineering and Engineering Management, 2009
Neural networks for aeronautical components maintenance and management
MLP ANN Condition Assessment Model of the Turbogenerator Shaft A6 HPP Đerdap 2
Tehnicki vjesnik - Technical Gazette, 2021
International Journal of Reliability and Safety
Digital model of a gas turbine performance prediction and preventive maintenance
SECOND INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE, SMART STRUCTURES AND APPLICATIONS: ICMSS-2019, 2019
Artificial Neural Network and EWMA-based Fault Prediction in Wind Turbines
Ocean Engineering, 2018
Failure Rate Analysis of Boeing 737 Brakes Employing Neural Network
International Journal of …, 2007
Failure Prediction of Highly Requested Complex Technical Systems: Application to W18v50df Engines
International Journal of Advances in Scientific Research and Engineering, 2020
A neural network approach for improved bearing prognostics of wind turbine generators
The European Physical Journal Applied Physics, 2021