Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises

A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment

(2022) Pin Lyu et al.   ADVANCED ENGINEERING INFORMATICS

Hybrid data-driven and model-informed online tool wear detection in milling machines

(2022) Qian Yang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates

(2022) Shen Yan et al.   ADVANCED ENGINEERING INFORMATICS

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

(2022) Long Wen et al.   Frontiers of Mechanical Engineering

Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain

(2022) Yiming Xiao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

MS-SSPCANet: A powerful deep learning framework for tool wear prediction

(2022) Jian Duan et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Stacked Convolutional Sparse Auto-Encoders for Representation Learning

(2021) Yi Zhu et al.   ACM Transactions on Knowledge Discovery from Data

Digital‐twin assisted: Fault diagnosis using deep transfer learning for machining tool condition

(2021) B. D. Deebak et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

A machine vision method for measurement of machining tool wear

(2021) Jianbo Yu et al.   MEASUREMENT

Sound singularity analysis for milling tool condition monitoring towards sustainable manufacturing

(2021) Chang'an Zhou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Temporal convolutional autoencoder for unsupervised anomaly detection in time series

(2021) Markus Thill et al.   APPLIED SOFT COMPUTING

Intelligent tool wear monitoring and multi-step prediction based on deep learning model

(2021) Minghui Cheng et al.   JOURNAL OF MANUFACTURING SYSTEMS

In-process tool condition forecasting based on a deep learning method

(2020) Huibin Sun et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis

(2020) Jianbo Yu et al.   IEEE Transactions on Industrial Informatics

Tool condition monitoring in milling process using multifractal detrended fluctuation analysis and support vector machine

(2020) Jingchao Guo et al.   The International Journal of Advanced Manufacturing Technology

Deep Anomaly Detection for CNC Machine Cutting Tool Using Spindle Current Signals

(2020) Guang Li et al.   SENSORS

Real-time tool wear monitoring using thin-film thermocouple

(2020) Tianxiang Li et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

From Intelligence Science to Intelligent Manufacturing

(2019) Lihui Wang   Engineering

Data-Driven Anomaly Diagnosis for Machining Processes

(2019) Y.C. Liang et al.   Engineering

Distance measure for Fermatean fuzzy linguistic term sets based on linguistic scale function: An illustration of the TODIM and TOPSIS methods

(2019) Donghai Liu et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations

(2019) Zhiwen Huang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A Stacked BiLSTM Neural Network Based on Coattention Mechanism for Question Answering

(2019) Linqin Cai et al.   Computational Intelligence and Neuroscience

A method of NC machine tools intelligent monitoring system in smart factories

(2019) Wei Liu et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion

(2019) Chengming Shi et al.   IEEE Transactions on Industrial Informatics

A systematic development method for cyber-physical machine tools

(2018) Chao Liu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Single image super-resolution using a deep encoder–decoder symmetrical network with iterative back projection

(2018) Heng Liu et al.   NEUROCOMPUTING

Deep adaptive feature embedding with local sample distributions for person re-identification

(2018) Lin Wu et al.   PATTERN RECOGNITION

Residual Codean Autoencoder for Facial Attribute Analysis

(2018) Akshay Sethi et al.   PATTERN RECOGNITION LETTERS

Laser stripe image denoising using convolutional autoencoder

(2018) Zhuoqun Fang et al.   Results in Physics

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

Hidden semi-Markov model-based method for tool wear estimation in milling process

(2017) Dongdong Kong et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Machine Tool 4.0 for the new era of manufacturing

(2017) Xun Xu   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

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

Tool condition monitoring in interrupted cutting with acceleration sensors

(2017) Juho Ratava et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

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

A sparse auto-encoder-based deep neural network approach for induction motor faults classification

(2016) Wenjun Sun et al.   MEASUREMENT

Experimental study of tool life transition and wear monitoring in turning operation using a hybrid method based on wavelet multi-resolution analysis and empirical mode decomposition

(2015) Mohamed Khemissi Babouri et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY