Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network

A data-driven model for milling tool remaining useful life prediction with convolutional and stacked LSTM network

(2020) Qinglong An et al.   MEASUREMENT

Non-linear Wiener process–based cutting tool remaining useful life prediction considering measurement variability

(2020) Huibin Sun et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis

(2020) Kaiyu Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

A tool wear monitoring and prediction system based on multiscale deep learning models and fog computing

(2020) Huihui Qiao et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Nondestructive acquisition of the micro-mechanical properties of high-speed-dry milled micro-thin walled structures based on surface traits

(2020) Da QU et al.   Chinese Journal of Aeronautics

Physics guided neural network for machining tool wear prediction

(2020) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deep learning for prognostics and health management: State of the art, challenges, and opportunities

(2020) Behnoush Rezaeianjouybari et al.   MEASUREMENT

Remaining Useful Life Prediction based on a Multi-Sensor Data Fusion Model

(2020) Naipeng Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Intelligent monitoring and diagnostics using a novel integrated model based on deep learning and multi-sensor feature fusion

(2020) Xingwei Xu et al.   MEASUREMENT

Time varying and condition adaptive hidden Markov model for tool wear state estimation and remaining useful life prediction in micro-milling

(2019) Weijian Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction

(2019) Jinjiang Wang et al.   COMPUTERS IN INDUSTRY

Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks

(2019) Longting Chen et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deep separable convolutional network for remaining useful life prediction of machinery

(2019) Biao Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

Force-based tool wear estimation for milling process using Gaussian mixture hidden Markov models

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

Multi-bearing remaining useful life collaborative prediction: A deep learning approach

(2017) Lei Ren et al.   JOURNAL OF MANUFACTURING SYSTEMS

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

(2017) Rui Zhao et al.   SENSORS

Tool wear monitoring based on kernel principal component analysis and v-support vector regression

(2016) Dongdong Kong et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A weighted hidden Markov model approach for continuous-state tool wear monitoring and tool life prediction

(2016) Jinsong Yu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool condition classification in turning process using hidden Markov model based on texture analysis of machined surface images

(2016) Nagaraj N. Bhat et al.   MEASUREMENT

Deep learning

(2015) Yann LeCun et al.   NATURE

Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction

(2014) A. Mosallam 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

Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features

(2009) M. Elangovan et al.   EXPERT SYSTEMS WITH APPLICATIONS