Digital‐twin assisted: Fault diagnosis using deep transfer learning for machining tool condition
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Title
Digital‐twin assisted: Fault diagnosis using deep transfer learning for machining tool condition
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-05-28
DOI
10.1002/int.22493
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Note: Only part of the references are listed.- Digital Twin-driven online anomaly detection for an automation system based on edge intelligence
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- (2019) Çagrı Vakkas Yıldırım et al. Journal of the Brazilian Society of Mechanical Sciences and Engineering
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- (2019) Sarvesh Kumar Mishra et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
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- (2019) Kyu Tae Park et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- Luminaire Digital Design Flow with Multi-Domain Digital Twins of LEDs
- (2019) Genevieve Martin et al. Energies
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- (2019) Tian Wang et al. IEEE Transactions on Industrial Informatics
- Anomaly Detections for Manufacturing Systems Based on Sensor Data—Insights into Two Challenging Real-World Production Settings
- (2019) Klaus Kammerer et al. SENSORS
- Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system
- (2018) Jun Wu et al. APPLIED SOFT COMPUTING
- Feature Trend Extraction and Adaptive Density Peaks Search for Intelligent Fault Diagnosis of Machines
- (2018) Yanxue Wang et al. IEEE Transactions on Industrial Informatics
- Digital twin-based smart production management and control framework for the complex product assembly shop-floor
- (2018) Cunbo Zhuang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system
- (2018) Qiang Liu et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Digital twin-driven product design framework
- (2018) Fei Tao et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A big data driven analytical framework for energy-intensive manufacturing industries
- (2018) Yingfeng Zhang et al. JOURNAL OF CLEANER PRODUCTION
- Representation and mediation in digitalized work: evidence from maintenance of mining machinery
- (2018) Katrin Jonsson et al. JOURNAL OF INFORMATION TECHNOLOGY
- Analog Circuit Incipient Fault Diagnosis Method Using DBN Based Features Extraction
- (2018) Chaolong Zhang et al. IEEE Access
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- (2018) Pei Cao et al. IEEE Access
- Exploiting Task Elasticity and Price Heterogeneity for Maximizing Cloud Computing Profits
- (2018) Mehiar Dabbagh et al. IEEE Transactions on Emerging Topics in Computing
- Representation and mediation in digitalized work: evidence from maintenance of mining machinery
- (2018) Katrin Jonsson et al. JOURNAL OF INFORMATION TECHNOLOGY
- Modular based flexible digital twin for factory design
- (2018) Jiapeng Guo et al. Journal of Ambient Intelligence and Humanized Computing
- Digital Twin for rotating machinery fault diagnosis in smart manufacturing
- (2018) Jinjiang Wang et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing
- (2018) Chuang Sun et al. IEEE Transactions on Industrial Informatics
- Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics
- (2017) Daniel Bumblauskas et al. EXPERT SYSTEMS WITH APPLICATIONS
- On Theoretical Modeling of Sensor Cloud: A Paradigm Shift From Wireless Sensor Network
- (2017) Sudip Misra et al. IEEE Systems Journal
- Deep Model Based Domain Adaptation for Fault Diagnosis
- (2017) Weining Lu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Joint Optimal Pricing and Task Scheduling in Mobile Cloud Computing Systems
- (2017) Hamed Shah-Mansouri et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Digital twin-driven product design, manufacturing and service with big data
- (2017) Fei Tao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models
- (2017) Damien McParland et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests
- (2017) Dazhong Wu et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- A review on condition-based maintenance optimization models for stochastically deteriorating system
- (2017) Suzan Alaswad et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Dynamic Optimal Pricing for Heterogeneous Service-Oriented Architecture of Sensor-Cloud Infrastructure
- (2017) Subarna Chatterjee et al. IEEE Transactions on Services Computing
- Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification
- (2017) et al. Remote Sensing
- 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
- Industrial Big Data for Fault Diagnosis: Taxonomy, Review, and Applications
- (2017) Yan Xu et al. IEEE Access
- Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing
- (2017) Fei Tao et al. IEEE Access
- A virtual sensing based augmented particle filter for tool condition prognosis
- (2017) Jinjiang Wang et al. Journal of Manufacturing Processes
- An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
- (2016) Yaguo Lei et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
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- (2016) Gianluca Buffa et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Real-time information capturing and integration framework of the internet of manufacturing things
- (2014) Yingfeng Zhang et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
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