A novel feature adaptive extraction method based on deep learning for bearing fault diagnosis
出版年份 2021 全文链接
标题
A novel feature adaptive extraction method based on deep learning for bearing fault diagnosis
作者
关键词
Fault diagnosis, Activation function, STAC-tanh, Non-linear transformation
出版物
MEASUREMENT
Volume 185, Issue -, Pages 110030
出版商
Elsevier BV
发表日期
2021-08-22
DOI
10.1016/j.measurement.2021.110030
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。- MMFNet: A multi-modality MRI fusion network for segmentation of nasopharyngeal carcinoma
- (2020) Huai Chen et al. NEUROCOMPUTING
- Multi-fault diagnosis of rotating machinery based on deep convolution neural network and support vector machine
- (2020) Yan Xue et al. MEASUREMENT
- Variational mode decomposition based symmetric single valued neutrosophic cross entropy measure for the identification of bearing defects in a centrifugal pump
- (2020) Anil Kumar et al. APPLIED ACOUSTICS
- Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems
- (2020) Ameya D. Jagtap et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Bearing fault diagnosis base on multi-scale CNN and LSTM model
- (2020) Xiaohan Chen et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks
- (2020) Zhuyun Chen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- “SPOCU”: scaled polynomial constant unit activation function
- (2020) Jozef Kiseľák et al. NEURAL COMPUTING & APPLICATIONS
- InceptionTime: Finding AlexNet for time series classification
- (2020) Hassan Ismail Fawaz et al. DATA MINING AND KNOWLEDGE DISCOVERY
- A novel method based on nonlinear auto-regression neural network and convolutional neural network for imbalanced fault diagnosis of rotating machinery
- (2020) Quan Zhou et al. MEASUREMENT
- Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis
- (2020) Minghang Zhao et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Hybrid multimodal fusion with deep learning for rolling bearing fault diagnosis
- (2020) Changchang Che et al. MEASUREMENT
- A Deep Convolutional Neural Networks Model for Intelligent Fault Diagnosis of a Gearbox under Different Operational Conditions
- (2019) Guangqi Qiu et al. MEASUREMENT
- Deep neural networks with transfer learning in millet crop images
- (2019) Solemane Coulibaly et al. COMPUTERS IN INDUSTRY
- Health prediction of hydraulic cooling circuit using deep neural network with ensemble feature ranking technique
- (2019) Jatin Prakash et al. MEASUREMENT
- An adaptive deep transfer learning method for bearing fault diagnosis
- (2019) Zhenghong Wu et al. MEASUREMENT
- Rolling bearing fault diagnosis based on improved adaptive parameterless empirical wavelet transform and sparse denoising
- (2019) Jimeng Li et al. MEASUREMENT
- Exploiting deep representations for natural language processing
- (2019) Zi-Yi Dou et al. NEUROCOMPUTING
- An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis
- (2019) Ashraf Darwish et al. Swarm and Evolutionary Computation
- Deep Residual Shrinkage Networks for Fault Diagnosis
- (2019) Minghang Zhao et al. IEEE Transactions on Industrial Informatics
- Evaluating the Progression and Orientation of Scratches on Outer-Raceway Bearing Using Pattern Recognition Method
- (2018) Shrinathan Esakimuthu Pandarakone et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
- (2018) Long Wen et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network
- (2018) Haidong Shao et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Fault detection for rolling element bearing based on repeated single-scale morphology and simplified sensitive factor algorithm
- (2018) Tingkai Gong et al. MEASUREMENT
- Artificial intelligence for fault diagnosis of rotating machinery: A review
- (2018) Ruonan Liu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis
- (2018) Yuanhang Chen et al. NEUROCOMPUTING
- Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data
- (2018) Liang Guo et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Fault Diagnosis of a Rolling Bearing Using Wavelet Packet Denoising and Random Forests
- (2017) Ziwei Wang et al. IEEE SENSORS JOURNAL
- A novel deep autoencoder feature learning method for rotating machinery fault diagnosis
- (2017) Haidong Shao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- 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
- A Hybrid Feature Selection Scheme for Reducing Diagnostic Performance Deterioration Caused by Outliers in Data-Driven Diagnostics
- (2016) Myeongsu Kang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- 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
- Hierarchical fuzzy entropy and improved support vector machine based binary tree approach for rolling bearing fault diagnosis
- (2016) Yongbo Li et al. MECHANISM AND MACHINE THEORY
- Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR
- (2016) David A. Winkler et al. Molecular Informatics
- 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
- Representation Learning: A Review and New Perspectives
- (2013) Y. Bengio et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Roller element bearing fault diagnosis using singular spectrum analysis
- (2012) Bubathi Muruganatham et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Rolling element bearing diagnostics—A tutorial
- (2010) Robert B. Randall et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Add 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 NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started