标题
Tool wear classification using time series imaging and deep learning
作者
关键词
Smart manufacturing, Tool wear classification, Time series imaging, Convolutional neural network, Deep learning
出版物
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-07-17
DOI
10.1007/s00170-019-04090-6
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。- Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks
- (2018) Rui Zhao et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Deep learning for smart manufacturing: Methods and applications
- (2018) Jinjiang Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Force-based tool wear estimation for milling process using Gaussian mixture hidden Markov models
- (2017) Dongdong Kong et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
- (2017) Osama Abdeljaber et al. JOURNAL OF SOUND AND VIBRATION
- Multisensory fusion based virtual tool wear sensing for ubiquitous manufacturing
- (2017) Jinjiang Wang et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks
- (2017) Rui Zhao et al. SENSORS
- An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis
- (2017) Shaobo Li et al. SENSORS
- An advanced numerical approach on tool wear simulation for tool and process design in metal cutting
- (2017) M. Binder et al. SIMULATION MODELLING PRACTICE AND THEORY
- Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
- (2017) Salman H. Khan et al. IEEE Transactions on Neural Networks and Learning Systems
- Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks
- (2016) Serkan Kiranyaz et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
- (2016) Sergio Pereira et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Performance of Machine Learning Algorithms for Class-Imbalanced Process Fault Detection Problems
- (2016) Taehyung Lee et al. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING
- Adaptive resampling-based particle filtering for tool life prediction
- (2015) Peng Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Rotation-invariant convolutional neural networks for galaxy morphology prediction
- (2015) Sander Dieleman et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
- (2014) Xueyun Chen et al. IEEE Geoscience and Remote Sensing Letters
- TOOL LIFE PREDICTION USING RANDOM WALK BAYESIAN UPDATING
- (2013) Jaydeep M. Karandikar et al. MACHINING SCIENCE AND TECHNOLOGY
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
- The effects of cutting parameters on tool life and wear mechanisms of CBN tool in high-speed face milling of hardened steel
- (2012) Xiaobin Cui et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Prognosis of Defect Propagation Based on Recurrent Neural Networks
- (2011) Arnaz Malhi et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS
- (2011) REIK V. DONNER et al. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
- Duality between Time Series and Networks
- (2011) Andriana S. L. O. Campanharo et al. PLoS One
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started