标题
A transfer convolutional neural network for fault diagnosis based on ResNet-50
作者
关键词
Fault diagnosis, Convolutional neural network, Feature transferring, ResNet-50
出版物
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-02-26
DOI
10.1007/s00521-019-04097-w
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A New Two-Level Hierarchical Diagnosis Network Based on Convolutional Neural Network
- (2019) Long Wen et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
- (2018) Long Wen et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- An Effective Multi-Objective Algorithm for Energy Efficient Scheduling in a Real-Life Welding Shop
- (2018) Xinyu Li et al. IEEE Transactions on Industrial Informatics
- Sparse Deep Stacking Network for Fault Diagnosis of Motor
- (2018) Chuang Sun et al. IEEE Transactions on Industrial Informatics
- Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
- (2018) Min Xia et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Deep Learning for Infrared Thermal Image Based Machine Health Monitoring
- (2018) Olivier Janssens et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Deep learning for smart manufacturing: Methods and applications
- (2018) Jinjiang Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Artificial intelligence for fault diagnosis of rotating machinery: A review
- (2018) Ruonan Liu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault diagnosis of gearbox based on RBF-PF and particle swarm optimization wavelet neural network
- (2018) Liu Yang et al. NEURAL COMPUTING & APPLICATIONS
- Sitcom-star-based clothing retrieval for video advertising: a deep learning framework
- (2018) Haijun Zhang et al. NEURAL COMPUTING & APPLICATIONS
- Adult content detection in videos with convolutional and recurrent neural networks
- (2018) Jônatas Wehrmann et al. NEUROCOMPUTING
- A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
- (2018) Feng Jia et al. NEUROCOMPUTING
- A Generic Deep-Learning-Based Approach for Automated Surface Inspection
- (2018) Ruoxu Ren et al. IEEE Transactions on Cybernetics
- Highly-Accurate Machine Fault Diagnosis Using Deep Transfer Learning
- (2018) Siyu Shao et al. IEEE Transactions on Industrial Informatics
- Deep learning and its applications to machine health monitoring
- (2018) Rui Zhao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An Effective Hybrid Genetic Algorithm and Variable Neighborhood Search for Integrated Process Planning and Scheduling in a Packaging Machine Workshop
- (2018) Xinyu Li et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Object-Level Video Advertising: An Optimization Framework
- (2017) Haijun Zhang et al. IEEE Transactions on Industrial Informatics
- Modified compensation algorithm of lever-arm effect and flexural deformation for polar shipborne transfer alignment based on improved adaptive Kalman filter
- (2017) Tongda Wang et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Failure prognostics of heavy vehicle hydro-pneumatic spring based on novel degradation feature and support vector regression
- (2017) Cheng Yang et al. NEURAL COMPUTING & APPLICATIONS
- A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
- (2017) Long Wen et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery
- (2017) Yumei Qi et al. IEEE Access
- An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
- (2016) Yaguo Lei et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem
- (2016) Xinyu Li et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
- (2016) Xiaojie Guo et al. MEASUREMENT
- Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings
- (2016) Meng Gan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault Diagnosis for Rotating Machinery: A Method based on Image Processing
- (2016) Chen Lu et al. PLoS One
- Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis
- (2015) Thomas W. Rauber et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
- (2015) Wade A. Smith et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Dynamic neural networks for gas turbine engine degradation prediction, health monitoring and prognosis
- (2015) S. Kiakojoori et al. NEURAL COMPUTING & APPLICATIONS
- A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
- (2014) Shen Yin et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Reliable Fault Diagnosis of Multiple Induction Motor Defects Using a 2-D Representation of Shannon Wavelets
- (2014) Myeongsu Kang et al. IEEE TRANSACTIONS ON MAGNETICS
- From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis
- (2013) Xuewu Dai et al. IEEE Transactions on Industrial Informatics
- A roller bearing fault diagnosis method based on hierarchical entropy and support vector machine with particle swarm optimization algorithm
- (2013) Keheng Zhu et al. MEASUREMENT
- Application of the fuzzy min–max neural network to fault detection and diagnosis of induction motors
- (2012) Manjeevan Seera et al. NEURAL COMPUTING & APPLICATIONS
- ANN- and ANFIS-based multi-staged decision algorithm for the detection and diagnosis of bearing faults
- (2012) Huseyin Metin Ertunc et al. NEURAL COMPUTING & APPLICATIONS
- Signal Model-Based Fault Detection and Diagnosis for Induction Motors Using Features of Vibration Signal in Two-Dimension Domain
- (2011) Van Tuan Do et al. STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING
- Fault Detection and Isolation of Induction Motors Using Recurrent Neural Networks and Dynamic Bayesian Modeling
- (2009) Hyun Cheol Cho et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search