A Health state-related ensemble deep learning method for aircraft engine remaining useful life prediction
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Health state-related ensemble deep learning method for aircraft engine remaining useful life prediction
Authors
Keywords
-
Journal
APPLIED SOFT COMPUTING
Volume 135, Issue -, Pages 110041
Publisher
Elsevier BV
Online
2023-01-20
DOI
10.1016/j.asoc.2023.110041
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Fuzzy Similarity-Based Approach to Classify Numerically Simulated and Experimentally Detected Carbon Fiber-Reinforced Polymer Plate Defects
- (2022) Mario Versaci et al. SENSORS
- Evolutionary neural architecture search for remaining useful life prediction
- (2021) Hyunho Mo et al. APPLIED SOFT COMPUTING
- Data-driven prognosis method using hybrid deep recurrent neural network
- (2020) Min Xia et al. APPLIED SOFT COMPUTING
- Multitask learning for health condition identification and remaining useful life prediction: deep convolutional neural network approach
- (2020) Tae San Kim et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Similarity-based deep learning approach for remaining useful life prediction
- (2020) Mengru Hou et al. MEASUREMENT
- Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process
- (2019) Jinglong Chen et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Ridge Fuzzy Regression Model
- (2019) Seung Hoe Choi et al. International Journal of Fuzzy Systems
- Data-driven remaining useful life prediction via multiple sensor signals and deep long short-term memory neural network
- (2019) Jun Wu et al. ISA TRANSACTIONS
- An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation
- (2019) Tangbin Xia et al. COMPUTERS IN INDUSTRY
- Machinery health prognostics: A systematic review from data acquisition to RUL prediction
- (2018) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
- (2018) Yuting Wu et al. NEUROCOMPUTING
- Remaining useful life estimation in prognostics using deep convolution neural networks
- (2018) Xiang Li et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Multiclass adaptive neuro-fuzzy classifier and feature selection techniques for photovoltaic array fault detection and classification
- (2018) A. Belaout et al. RENEWABLE ENERGY
- Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning
- (2018) Jian Ma et al. COMPLEXITY
- A hybrid ARIMA–SVM model for the study of the remaining useful life of aircraft engines
- (2018) Celestino Ordóñez et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning
- (2018) Zhixiong Li et al. JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME
- Transfer Learning with Deep Recurrent Neural Networks for Remaining Useful Life Estimation
- (2018) Ansi Zhang et al. Applied Sciences-Basel
- Remaining Useful Life Estimation of Aircraft Engines Using a Modified Similarity and Supporting Vector Machine (SVM) Approach
- (2017) Zhongzhe Chen et al. Energies
- A novel soft computing method for engine RUL prediction
- (2017) Sandip Kumar Singh et al. MULTIMEDIA TOOLS AND APPLICATIONS
- An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction
- (2017) Zhixiong Li et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Remaining useful life prediction of aircraft engine based on degradation pattern learning
- (2017) Zeqi Zhao et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
- (2017) Chong Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- Online Performance Assessment Method_newline for a Model-Based Prognostic Approach
- (2016) Yang Hu et al. IEEE TRANSACTIONS ON RELIABILITY
- A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery
- (2016) Adrian Cubillo et al. Advances in Mechanical Engineering
- A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics
- (2012) P. Baraldi et al. IEEE TRANSACTIONS ON RELIABILITY
- Remaining useful life estimation – A review on the statistical data driven approaches
- (2010) Xiao-Sheng Si et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now