Related references
Note: Only part of the references are listed.Flexible Robot With Variable Stiffness in Transoral Surgery
Changsheng Li et al.
IEEE-ASME TRANSACTIONS ON MECHATRONICS (2020)
In-process machine vision monitoring of tool wear for Cyber-Physical Production Systems
Romulo Goncalves Lins et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)
In-process tool condition forecasting based on a deep learning method
Huibin Sun et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)
A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin
Weichao Luo et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)
Rolling element bearing fault diagnosis using convolutional neural network and vibration image
Duy-Tang Hoang et al.
COGNITIVE SYSTEMS RESEARCH (2019)
Using Multiple-Feature-Spaces-Based Deep Learning for Tool Condition Monitoring in Ultraprec's on Manufacturing
Chengming Shi et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Remaining useful life prediction based on health index similarity
Liu Yingchao et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
Automatic Identification of Tool Wear Based on Convolutional Neural Network in Face Milling Process
Xuefeng Wu et al.
SENSORS (2019)
Deep learning and its applications to machine health monitoring
Rui Zhao et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Domain Adaptive Motor Fault Diagnosis Using Deep Transfer Learning
Dengyu Xiao et al.
IEEE ACCESS (2019)
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Deep Model Based Domain Adaptation for Fault Diagnosis
Weining Lu et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2017)
Reliability model of a component equipped with PHM capabilities
Michele Compare et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)
Fuzzy logic based tool condition monitoring for end-milling
Besmir Cuka et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2017)
Multisensory fusion based virtual tool wear sensing for ubiquitous manufacturing
Jinjiang Wang et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2017)
Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks
Rui Zhao et al.
SENSORS (2017)
Convolutional Neural Network Based Fault Detection for Rotating Machinery
Olivier Janssens et al.
JOURNAL OF SOUND AND VIBRATION (2016)
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
Monitoring online cutting tool wear using low-cost technique and user-friendly GUI
J. A. Ghani et al.
WEAR (2011)
Share Paper
