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

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

Review of tool condition monitoring methods in milling processes

(2018) Yuqing Zhou et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Application of the wavelet packet transform to vibration signals for surface roughness monitoring in CNC turning operations

(2018) E. García Plaza et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gaussian process regression for tool wear prediction

(2018) Dongdong Kong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm

(2018) Vigneashwara Pandiyan et al.   Journal of Manufacturing Processes

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

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

Predicting tool wear with multi-sensor data using deep belief networks

(2018) Yuxuan Chen et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Machining vibration states monitoring based on image representation using convolutional neural networks

(2017) Yang Fu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

On-line manipulator tool condition monitoring based on vibration analysis

(2017) Piotr Gierlak et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model

(2016) Kamran Javed et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Multi-sensor data fusion framework for CNC machining monitoring

(2016) João A. Duro et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A method for tool condition monitoring based on sensor fusion

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

Cyber physical process monitoring systems

(2015) Jeff Morgan et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Tool wear monitoring using naïve Bayes classifiers

(2014) Jaydeep Karandikar et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Online incremental learning for tool condition classification using modified Fuzzy ARTMAP network

(2013) Guofeng Wang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Health assessment and life prediction of cutting tools based on support vector regression

(2013) T. Benkedjouh et al.   JOURNAL OF INTELLIGENT MANUFACTURING

CNC machine tool's wear diagnostic and prognostic by using dynamic Bayesian networks

(2011) D.A. Tobon-Mejia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results

(2009) Kunpeng Zhu et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Tool wear monitoring using artificial neural network based on extended Kalman filter weight updation with transformed input patterns

(2009) Srinivasan Purushothaman   JOURNAL OF INTELLIGENT MANUFACTURING