A hybrid information model based on long short-term memory network for tool condition monitoring

Bearing performance degradation assessment using long short-term memory recurrent network

(2019) Bin Zhang et al.   COMPUTERS IN INDUSTRY

Remaining useful life prediction based on health index similarity

(2019) Yingchao Liu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A new dynamic predictive maintenance framework using deep learning for failure prognostics

(2019) Khanh T.P. Nguyen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

Deep learning with long short-term memory networks for financial market predictions

(2018) Thomas Fischer et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

(2018) Rui Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Combining shape and contour features to improve tool wear monitoring in milling processes

(2018) María Teresa García-Ordás et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Cloud-Based Parallel Machine Learning for Tool Wear Prediction

(2018) Dazhong Wu et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

(2018) Yuting Wu et al.   NEUROCOMPUTING

Using multiple feature spaces-based deep learning for tool condition monitoring in ultra-precision manufacturing

(2018) Chengming Shi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Tool condition monitoring using spectral subtraction and convolutional neural networks in milling process

(2018) Fatemeh Aghazadeh et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Deep learning models for bankruptcy prediction using textual disclosures

(2018) Feng Mai et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling

(2017) He-Boong Kwon   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Word embeddings and recurrent neural networks based on Long-Short Term Memory nodes in supervised biomedical word sense disambiguation

(2017) Antonio Jimeno Yepes   JOURNAL OF BIOMEDICAL INFORMATICS

A novel integrated tool condition monitoring system

(2017) Amit Kumar Jain et al.   JOURNAL OF INTELLIGENT 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

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

Tool Condition Monitoring and Remaining Useful Life Prognostic Based on a Wireless Sensor in Dry Milling Operations

(2016) Cunji Zhang et al.   SENSORS

A method for tool condition monitoring based on sensor fusion

(2015) Kai-feng Zhang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Deep learning

(2015) Yann LeCun et al.   NATURE

Prediction of drill flank wear using ensemble of co-evolutionary particle swarm optimization based-selective neural network ensembles

(2014) Wen-An Yang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling

(2013) Qun Ren et al.   INFORMATION SCIENCES

A review of flank wear prediction methods for tool condition monitoring in a turning process

(2012) A. Siddhpura et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Comparing orthogonal force and unidirectional strain component processing for tool condition monitoring

(2012) Burkhard H. Freyer et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Remaining useful life estimation – A review on the statistical data driven approaches

(2010) Xiao-Sheng Si et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Design of multisensor fusion-based tool condition monitoring system in end milling

(2009) Sohyung Cho et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Multi-category micro-milling tool wear monitoring with continuous hidden Markov models

(2008) Kunpeng Zhu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

On-line tool condition monitoring in face milling using current and power signals

(2006) P. Bhattacharyya et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH