Intelligent fault recognition framework by using deep reinforcement learning with one dimension convolution and improved actor-critic algorithm
出版年份 2021 全文链接
标题
Intelligent fault recognition framework by using deep reinforcement learning with one dimension convolution and improved actor-critic algorithm
作者
关键词
Fault recognition, Deep reinforcement learning, Actor-critic algorithm, 1D convolution
出版物
ADVANCED ENGINEERING INFORMATICS
Volume 49, Issue -, Pages 101315
出版商
Elsevier BV
发表日期
2021-06-29
DOI
10.1016/j.aei.2021.101315
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE
- (2020) He Zhiyi et al. ADVANCED ENGINEERING INFORMATICS
- TD-regularized actor-critic methods
- (2019) Simone Parisi et al. MACHINE LEARNING
- Intelligent fault diagnosis method of planetary gearboxes based on convolution neural network and discrete wavelet transform
- (2019) Renxiang Chen et al. COMPUTERS IN INDUSTRY
- Relevance vector machine for tool wear prediction
- (2019) Dongdong Kong et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Reinforcement learning for neural architecture search: A review
- (2019) Yesmina Jaafra et al. IMAGE AND VISION COMPUTING
- Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach
- (2019) Yu Ding et al. ADVANCED ENGINEERING INFORMATICS
- Fault diagnosis of rolling bearing based on optimized soft competitive learning Fuzzy ART and similarity evaluation technique
- (2018) Xiao-Jin Wan et al. ADVANCED ENGINEERING INFORMATICS
- Fault diagnosis method based on integration of RSSD and wavelet transform to rolling bearing
- (2018) Chen Baojia et al. MEASUREMENT
- A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
- (2018) Haidong Shao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A novel tracking deep wavelet auto-encoder method for intelligent fault diagnosis of electric locomotive bearings
- (2018) Shao Haidong et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Discrete space reinforcement learning algorithm based on support vector machine classification
- (2018) Yuexuan An et al. PATTERN RECOGNITION LETTERS
- Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks
- (2018) Dileep K. Appana et al. SOFT COMPUTING
- Actor-Critic Learning Control Based on ℓ₂-Regularized Temporal-Difference Prediction With Gradient Correction
- (2018) Luntong Li et al. IEEE Transactions on Neural Networks and Learning Systems
- Manifold Regularized Reinforcement Learning
- (2018) Hongliang Li et al. IEEE Transactions on Neural Networks and Learning Systems
- Highly-Accurate Machine Fault Diagnosis Using Deep Transfer Learning
- (2018) Siyu Shao et al. IEEE Transactions on Industrial Informatics
- A Novel Fault Detection with Minimizing the Noise-Signal Ratio Using Reinforcement Learning
- (2018) Dapeng Zhang et al. SENSORS
- Fault Severity Monitoring of Rolling Bearings Based on Texture Feature Extraction of Sparse Time–Frequency Images
- (2018) Yan Du et al. Applied Sciences-Basel
- Deep learning and its applications to machine health monitoring
- (2018) Rui Zhao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A survey on Deep Learning based bearing fault diagnosis
- (2018) Duy-Tang Hoang et al. NEUROCOMPUTING
- A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals
- (2018) Huaqing Wang et al. COMPUTERS IN INDUSTRY
- An Actor-Critic Algorithm With Second-Order Actor and Critic
- (2017) Jing Wang et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- A deep learning framework using convolution neural network for classification of impulse fault patterns in transformers with increased accuracy
- (2017) D. Dey et al. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
- An enhancement deep feature fusion method for rotating machinery fault diagnosis
- (2017) Haidong Shao et al. KNOWLEDGE-BASED SYSTEMS
- A novel deep autoencoder feature learning method for rotating machinery fault diagnosis
- (2017) Haidong Shao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Bearing damage assessment using Jensen-Rényi Divergence based on EEMD
- (2017) Jaskaran Singh et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Early fault feature extraction of rolling bearing based on ICD and tunable Q-factor wavelet transform
- (2017) Yongbo Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Deep Reinforcement Learning With Visual Attention for Vehicle Classification
- (2017) Dongbin Zhao et al. IEEE Transactions on Cognitive and Developmental Systems
- Variance-constrained actor-critic algorithms for discounted and average reward MDPs
- (2016) L. A. Prashanth et al. MACHINE LEARNING
- Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
- (2016) Feng Jia et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks
- (2016) W. Chine et al. RENEWABLE ENERGY
- Efficient Actor-Critic Algorithm with Hierarchical Model Learning and Planning
- (2016) Shan Zhong et al. Computational Intelligence and Neuroscience
- Intelligent fault diagnosis of roller bearings with multivariable ensemble-based incremental support vector machine
- (2015) XiaoLi Zhang et al. KNOWLEDGE-BASED SYSTEMS
- A method of real-time fault diagnosis for power transformers based on vibration analysis
- (2015) Kaixing Hong et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Health condition identification of multi-stage planetary gearboxes using a mRVM-based method
- (2015) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients
- (2012) Ivo Grondman et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
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